bluuebunny/crossref_metadata_2025 huggingface dataset:
Wood Pellet Characteristics of Five Energy Species Grown in Post-Mining Reclamation Area in South Kalimantan
Authors: Bulkiah T , Sulistyawati E , Sutrisno
Published: December 2019

Biomass is one of the renewable sources of energy with prospective needs to be considered at a national or even global scale. Chemical components and physical properties of materials can be used as bioenergy in the form of pellets. Pellets made by compressing biomass using pressure-heat, resulting in higher calorific values than origin material. Reclamation forests can be seen as a potential source of energy. Considering the generally less-optimal environment, further research regarding the characteristic of species grown in such conditions required. Firstly, research aimed to determine pellets characteristics of five species grown at the post-coal-mining area at Tabalong Regency, i.e. laban(Vitex pinnata), sengon (Paraserianthes falcataria), sungkai (Peronema canescens), trembesi (Samanea saman) and johar (Senna siamea). Secondly was to evaluate the potential of species as energy sources. Measurement focused on forest debris, followed procedures set on SNI 8021-2014. Characteristics measured were moisture-content, density, lignocellulose, extractive, calor, ash, igniting-time, and burning-rate. Statistical analysis indicates that characteristics of origin material positive correlated with a caloric value of pellets except for moisture and ash. Pellets made of laban had the highest calorific value. Five species grown on the post-mining area had calorific values of pellets fulfilling the standard, which means those all are potential to be developed as an energy source.
Research Review on Implementation of Intensive Silviculture Techniques
Authors: Lamis F A , Muhdin
Published: December 2019

National timber demand tends to increase, meanwhile natural forest timber production tends to decrease. Aside from the natural growth of the tree tend to be slow, the current forest management were not able to increase the productivity of the timber forest product. In this latest development, Intensive Silviculture Technique (SILIN), is expected play important role in increasing timber productivity. The objective of this research was to review the implementation of SILIN toward sustainable forest management and to develop SILIN database system. Hopefully, the database can be a reference in obtaining information of (SILIN). The summary of each research and study is categorized into some categories: (i) ecology; (ii) silviculture; (iii) genetics; (iv) integrated pest management; and (v) economy. The result of the study showed there are 68 researches and studies of Intensive Silviculture, the category is dominated by silviculture aspect (31 researches), the ecology aspect are 23 researches, the genetics aspect are 2 researches, integrated pest management aspect are 3 researches and economy aspect are 9 researches. The amount of the result likely to increase and the summary of the research and study will periodically upload on our website that can be accessed on kajiansilin.com.
Aluminum Stress Effects of Nine Tropical Tree Species In The Hydroponic Assay
Authors: Pidjath C , Budi S W , Sopandie D , Turjaman M
Published: December 2019

Aluminum (Al) toxicity usually occurs in acidic soils with a pH of 5.5 or lower. Plants present different degrees of adaptation to al concentrations in the soil. Recent evidence indicates that different species have evolved different mechanisms to cope with this stress, and the understanding of this characteristic can lead to a viable option for the utilization of acid soils. The objective of this experiment was to investigate the effect of nine level Al concentration on nine tropical trees seedling (Enterolobium cyclocarpum Griseb, Adenanthera pavonina L. Samanea saman (Jacq.), Spathodea campanulata P.Beauv Merr, Ochroma grandiflora Rowlee, Gmelina arborea Roxb, Calophyllum inophyllum, Cecropia peltata, and Calliandra calothyrsus) in the hydroponic culture. The treatments arranged in a Randomized Block Design with three replications. The relative root elongation and roots number in terms of increased under low (below 2 mM) and, decreased under high (above 4 mM) Al concentrations. Significant reductions in relative root elongation, lateral root number and biomass observed almost in all seedling treated with hight Al concentration. A. pavonina, E. cyclocarpum, C. inophyllum classify into tolerance and S. campanulata were the most susceptible to Al. Even though A. pavonina was tolerant to Al toxicity, there was a high concentration in its tissue. This species is likely has an Al tolerance mechanism by internal detoxication. On the contrary, S.saman as sensitive species absorbed Al less than other species; it indicated that S.saman was have an avoidance mechanism as Al exclusion.
Research on control method and evaluation system of unmanned ground vehicle group change
Authors: Shi Tianyu , Bao Yunqing , Wang Zhichao , Zou Chonghao , Wang Sunbo , Li Xueyuan
Published: December 2019

In this paper, a novel formation control system, composed of path planning and tracking, was designed. A master-slave control model, based on the main vehicle, was proposed to solve the potential accumulation, transmission and amplification errors. To be specific, the referenced trajectory was initially generated by integrating a dynamic window and potential field in the process of transforming. Then a path tracking algorithm based on Hermite curve was introduced, which can make the group change process more stable and accurate. The performance of the formation control system was evaluated, in terms of the formation response and capacity of the formation stability in the simulated scenario. As a result, the vehicle control is simulated, the vehicle can quickly and precisely track the variation of the expected position, the maximum error is 0.1 m, and the speed error of the vehicle following can be controlled within 0.2 km / h, which can keep the stability of the vehicle formation better.
Research about the construction of intelligent transportation system under the big data of vehicle networking
Authors: Su Hongyang
Published: December 2019

In recent years, the number of motor vehicles in China has been increasing, but the construction of road traffic system is still relatively backward, and traffic jams and traffic safety problems often occur. At present, the concept of vehicle networking technology has gradually emerged. We can collect the position, status and surrounding environment information of vehicles by the technology, and then use big data method to analyse and process the information, so as to effectively manage and control the road traffic system and provide comprehensive services for drivers. In this paper, based on vehicle networking and the big data technology, the construction method of the Intelligent Transportation System will be further discussed, and the design scheme of the Intelligent Transportation System of a certain area will be provided.
Impact of High-Speed Railway Transportation on Economic Development in Zhengzhou City
Authors: Wan Ming , Peng Haozhan , Xu Yuping
Published: December 2019

China’s high-speed rail is the leader in driving a new round of China’s economy. Looking at it today, the scale of China’s construction of high-speed rail is unprecedented. From improving the speed of operation, coastal travel, and extending from the Central Plains to the northwest, it has a huge impact on social and economic development. The rapid development of high-speed rail will create a new chapter in the history of the economy. Based on the data of some socio-economic and high-speed rail transportation in Zhengzhou City from 2007 to 2017, this paper analyses the relationship between high-speed rail transportation and social economy, and provides reference for the decision-making department to formulate transportation development planning. The study found that there is a strong correlation between high-speed rail transportation and economic development. The two influence each other and coordinate development. The direction of high-speed rail construction should be clarified to better realize the comprehensive development of regional economy.
Analysis of the Feasibility of Hov Lane of Shichang Avenue in Weihai City
Authors: Hou Yuqiang , Yuan Zhenzhou , Thu Phuong Tran , Hou Yuqiang
Published: December 2019

Based on the experience of international traffic demand management policies, the Hov(high occupancy vehicle)has been introduced to the research on urban traffic planning and design. Through the collection and analysis of international experience in the design and operation of Hov lane, the requirement for Hov setting has been analyzed in China and the evaluation indexes of Hov lane have been proposed. By building the Hov design platform, this paper provides the methodology for the design and evaluation of Hov lane program. Through the research of this paper, we provide some scientific basis for the decision-makers and give some theoretical guidance for the Hov project in future.
Modeling and Analysis of Bus Satisfaction Based on improved structural equation model
Authors: Wang Zhixin , Zhang Yi , Li Jinhui , Wang Xiaomin , Meng Zhang
Published: December 2019

In order to analyze the influencing factors of urban bus passenger satisfaction more scientifically, this paper constructs an improved structural equation model. The key point of this method is to extract principal components by principal component analysis before applying traditional structural equation model. Taking Luoyang as an example, summarize 21 indicators that affact passenger satisfaction. The SPSS software was used to analyze the principal component of the questionnaire data, and the passenger perceptible mass factor was reduced from 21 dimension to 4 dimension. On this basis, the structural equation model of potential factor correlation and passenger satisfaction evaluation was established for the extracted 4 principal components and 21 observable variables. Finally, the Amos software is used to verify it. Through the verification of the model, it is concluded that the line and the operational service factors have a positive impact on the degree of rapid response of the bus, the line factor has a positive impact on the operational service effect, the convenience factor has a positive impact on the operational service factor and the passenger satisfaction is undervaluation.
Analyzing of Impact Factors of Residents’ Choice of Autonomous Vehicle: A Network Questionnaire Survey in Nanchang, China
Authors: Huang Yating , Yan Lixin
Published: December 2019

Autonomous vehicle technologies provide effective opportunities to improve the driving environment and reduce the number of traffic accidents. However, due to technical limitations and social ethics challenges, the acceptance and recognition of autonomous driving among residents still need to be improved. For this purpose, a network questionnaire survey with 251 volunteers was conducted in Nanchang, China. The impact factors such gender, age, education, income and others, which may associated with the residents’ choice of autonomous vehicle were collected. Three indexes which included the degree of residents’ satisfaction and acceptance were adapted to calibrate the reported residents’ choice. A multiple linear regression model was applied to identify significant factors and to establish the identification model. The results indicated that the type of driver’s license, passenger’s comfort and safety and the age of driver with license are significant positive correlated to residents’ satisfaction in the data (Approx. Sig<0.01). In addition, the relationship between curiosity, expectation, desire to buy and residents’ acceptance is positive correlation (Approx. Sig<0.01). The identification model also demonstrated a high predictive power with a prediction accuracy of 0.80. The conclusions provide theoretical support for improving residents’ acceptance and satisfaction with autonomous vehicle, and promote the marketization operation of self-driving technology.
Application of lean design in the planning layout of slab plant
Authors: Li Yanru
Published: December 2019

Combined with the characteristics of planning and construction of slab plant, first of all, the article analyzes necessity of lean design in the planning layout of slab plant, then compares the characteristics of lean design and traditional layout, and proposes the theoretical framework of lean design in the planning layout of slab plant. Finally, the article takes changqing slab plant layout as an example, and verifies that the theory can achieve the goal of lean layout and provides guidance for similar facility layout planning.
Research on Demand Analysis and Development Prospect of High-Speed Railway Express Market
Authors: Xu Yingying , Zhao Qilan
Published: December 2019

With the rapid development of e-commerce, the demand for express delivery industry has grown rapidly. Compared with other modes of transportation, the high-speed railway’s “high speed, high safety, high punctuality rate” and other characteristics ensure the rapid delivery of goods on time. In order to accurately predict the demand of the high-speed railway express delivery market, this paper collects a large amount of data extensively and processes the data through SPSS software. The extrapolation method and the proportional method were used to predict the demand of the national express delivery market and the national off-site express market demand in 2025. On this basis, the four indicators of safety, reliability, rapidity and economy are selected to construct Logit model for characteristic variables, and MATLAB software is used to calculate the market share of high-speed railway transportation. Finally, calculate the forecast value of China’s high-speed rail express business, analyze the prospects of China’s high-speed railway express market, and determine the future development direction of the railway industry to achieve efficiency gains and market-oriented reforms, which have certain reference value and practical significance.
Study on Design Speeds of Metro Inter-stations for Traction Energy Saving and Travel Time Reduction
Authors: Xu Yang , Bai Yun , Li Jiajie , Zhou Yuhe
Published: December 2019

The increment of design speed of metro system will increase train energy cost while reduce passengers’ travel time. To determine reasonable design speeds of different inter-stations in a line, the factors including passenger demand, operation cost and interval distance need to be taken into account. However, the common practice adopts uniform design speed for the whole line, which is unsuitable for the metro line with large variations on distances of different inter-stations. Therefore, this paper proposed a design speed optimization model with given line conditions and train control strategies to minimize the comprehensive cost, including train traction energy and passenger travel time. Case studies on a Beijing metro line show that the overall cost is reduced by 4.57% through allowing varied design speeds across different inter-stations in comparison with a uniform design speed for all inter-stations. Sensitivity analysis shows that when the interval distances are 900 m and 1700 m, the recommended design speeds are 80km/h and 100km/h, respectively.
Optimization for train plan of full-length and short-turn routing under variable marshalling conditions
Authors: Hu Yating
Published: December 2019

According to the imbalance characteristics of passenger flow in station section in urban railway transit, optimization for train plan of full-length and short-turn routing under variable marshalling conditions is developed. The cost composition and basic constraints of the two entities of passengers and enterprises in this context are analyzed in detail. The multi-objective mixed integer nonlinear programming of the train plan is developed. And the decision variables are train formation plans and positions of turn-back stations. Convert multi-objective models into single-target models by converting costs to total costs and solve the model with MATLAB. The validity of the model is verified by a case and the sensitivities of full-length and short-turn Routing trains’ numbers are also analyzed. The results show that the operation of full-length and short-turn routing mode during peak hours can improve the passenger flow service level of the central section; the optimization of full-length and short-turn routing can further reduce the operating costs of enterprises.
Non-stationary vibration road spectrum reconstruction of wheeled vehicles based on FCM clustering wavelet packet coefficient matrix
Authors: Liu Zongkai , Yang Xiaoqiang , Shen Jinxing
Published: December 2019

In this paper, a frequency domain non-stationary vibration spectrum simulation reconstruction method is proposed, which based on Fuzzy C-Means (FCM) clustering wavelet packet coefficient matrix reconstruction. The factors such as the non-stationarity of the road surface excitation and vibration response of the vehicle due to the time variation of the vehicle speed and the nonlinearity of the coupled vibration of the vehicle body during the running of the wheeled vehicle are considered. In this method, the one-dimensional measured vibration spectrum reconstruction problem is turned into the two-dimensional wavelet packet coefficient matrix (image) reconstruction problem by wavelet packet transform. Furthermore, based on the FCM clustering principle of wavelet packet coefficient normalized column vector, some non-stationary features in the frequency domain was extracted to realize the frequency domain non-stationary reconstruction of the measured road spectrum, including the important vibration types contained in the measured vibration spectrum and the total probability of occurrence and the adjacent conditional probability, and the dispersion around the cluster center in each type. Through the comparison with the measured road spectrum, the method was verified that it can accurately simulate the actual road driving conditions of the wheeled vehicle. The reconstructed road spectrum this method provided is consistent with the actual working conditions for road simulation experiments.
Railway line data optimization and formal modelling and verification of generation mothed
Authors: Zhang Zihan , Liu Zhongtian
Published: December 2019

The research on upgrading and modification of the existing railway signal system found that the existing line basic datasheet and line data engineering datasheet cannot satisfy the application requirement, and it is necessary to study data optimization on the existing railway line. This paper presents a method for railway line data optimization and generation process verification. Based on the analysis of railway line data and the research of data update requirements, the hierarchical block storage model of line data is established by expanding the engineering datasheet, and design the data model generation process. The formal model of generation process is established by the model verification method combining UML with NuSMV model, which verifies the activity, certainty and transference of the important attributes in the model. The data model and generating process are improved by counterexample analysis to meet the requirements of signal system. The discussion of this paper provides useful solutions for the key problems encountered in the research and development of the existing railway signal system.
Warpage analysis and optimization of thin-walled injection molding parts based on numerical simulation and orthogonal experiment
Authors: Chen Yanfang , Zhu Junjie
Published: December 2019

With the warpage of a mobile phone case as the index, a numerical model for injection molding was established by CAE software. The process parameters of 5 factors including injection time, mold temperature, melt temperature, packing time and packing pressure were analyzed by orthogonal experiment, the effect of injection process parameters on warpage was studied and the minimum combination of process parameters was obtained. The simulation results show that the warpage was reduced by 6.98% after optimization, and higher quality plastic parts were obtained, which has important guiding significance for the production practice of thin-wall parts.
Spectral Characteristics Analysis of Wetland in Three Provinces of Northeast China Based on FY3/MERSI Data
Authors: Feng Rui , Wu Jinwen , Yu Wenying , Ji Ruipeng , Chen Pengshi , Zhang Yushu
Published: December 2019

For quickly and efficiently extracting large-scale wetland information to the FY3/MERSI sensor satellite data, and based on the FY3/MERSI data from 2011 to 2016, this paper analyzed the time series original spectra and its NDVI and NDWI index change characteristics of lake, reservoir, paddy field and marsh wetlands in three provinces of Northeastern China. The results showed that there are differences in the spectral curves, NDVI and NDWI indexes of different wetland types, especially the marsh wetlands, paddy fields and other landforms with a growth circle that have more significant differences in spectral curves and index curves than that of lakes, reservoirs and rivers. The data provides a preliminary method for the research and business application of China Fengyun series satellite MERSI sensor data.
Effect of Groove-type Chip Breakers in Deep Hole Drilling of 42CrMo
Authors: Cui Xuefei , Li Zhuyu , Pei Qichao , Liu Haiyu , Wei Zhang , Yu Junhao
Published: December 2019

Gun drills have widely been in use in deep-hole drilling of manufacturing in automobiles and models. They could improve straightness and surface roughness of holes. However, with the improvement of material property and the increasing need for drilling holes that have big aspect ratio, problems like breaking and removing chips when drilling deep holes continue to appear, which would break the cutting tool when these problems are severe. All these problems would greatly lower the durability and the ability of machining of gun drills. Additionally, as for drilling holes on crankshaft that’s made of 42CrMo, for example, due to its high fatigue strength and great toughness, it’s not easy to break chips and cutting tools worn down in a fast rate. Aimed at prolonging the lifetime of gun drills when drilling materials that are relatively difficult to drill and improving the manufacturing productivity, this paper presents a kind of gun drill with groove-type chip breaker and describes the geometrical parameters of groove-type chip breaker.
Design and development of rotary machinery vibration monitoring system
Authors: Li Yu , Wang Yixiang , Guo Yinchun
Published: December 2019

This paper designs and develops a monitoring system for rotary mechanical vibration. The system uses ARM+FPGA dual processor combination, FPGA control signal acquisition and data transmission, ARM transplantation embedded Linux system with touch screen to complete signal analysis and time domain, frequency domain curve display. The vibration signals of multiple positions on the mechanical device are synchronously sampled, and the FFT analysis of the signals is completed on the terminal, and the vibration waveform diagram and the spectrum diagram of each channel are displayed. At the same time, the system combines current IoT technology and cloud diagnostic technology to provide wired and wireless network communication solutions. The monitoring system can connect to the cloud server through the Ethernet interface and the WiFi interface to perform cloud diagnosis on the device.
Research and Application of Non-autoclaved PHC Pipe Pile Concrete
Authors: Liu Bobo
Published: December 2019

This paper studies the influence factors on the strength performance of Non-autoclaved PHC pipe pile concrete, such as the types and dosage of glue materials, water-binder ratio, pipe pile steam curing system, types of polycarboxylate superplasticizer, in view of the low temperature climate conditions in northwest China. The research results show that it is feasible to produce PHC pipe piles with single exemption process in terms of technology, process, cost and regional environment, and realize the application of single autoclaved PHC pipe piles industrial production in northwest China.
Research on Track Irregularity Based on K Nearest Neighbor Algorithm
Authors: Ting Bian , Chen Yu-Lei , Kai Tang , Huang Xiao-Jie , Cao Zhen-Feng , Yang Ming-Lai
Published: December 2019

Aiming at the safety and comfort of urban rail transit operation, a machine learning KNN algorithm is proposed to predict the degree of track irregularity. There are many fundamental factors that cause the track to be uneven, mainly reflected in the lateral irregularity of the track and the vertical irregularity. In this paper, the inertial navigation system is used to realize the acquisition of the orbital dynamic acceleration data, and the secondary displacement of the acceleration can obtain the relevant displacement information. The measurement of the gauge distance can be achieved by using a laser displacement sensor. By extracting the different displacement feature data of the same position at the same time and calculating the distance between the feature values, the purpose of predicting the degree of track damage can be achieved.
Construction of accident rate model for tunnel group sections of expressway in mountainous areas
Authors: Xin Xiong , Wang Hai , Shang Ting , Tian Shi-Han
Published: December 2019

The main influential factors affecting the traffic safety of tunnel group sections of expressway in mountainous areas and their effect on the accident rate are analyzed, this paper analyzes the accident rate of the tunnel group sections of expressway from the aspect of the road alignment and the anti-sliding ability of the road surface. According to the principle of the road sections, the accident rate prediction models for four different sections are established, which are the curve section of the tunnel entrance, the straight section of the tunnel entrance, the curve section of the tunnel exit, and the straight section of the tunnel exit. For different types of road sections, the corresponding road data and independent variables are selected, multiple linear regression is performed by spss software, and an accident rate prediction model is constructed. The results show that under the worst condition of linear condition, the demand value of SFC side-way force coefficient is much larger than the specified value, the required anti-sliding performance of the road surface is the highest for the tunnel entrance straight section, and the anti-sliding performance of the road surface required for the tunnel exit curve section is the lowest. The reason for this is that the direct line segment is better than the curve line segment condition, resulting in faster driving speed, and therefore the demand for anti-sliding performance of the road surface is also higher.
Prediction of Corrosion Rate in Submarine Multiphase Flow Pipeline Based on PSO-SVM Model
Authors: Wang Panfeng , Quan Qing
Published: December 2019

In view of the internal corrosion rate of submarine multiphase flow pipelines, this paper analyzes the related factors affecting the corrosion rate of this type of pipeline, and introduces PSO algorithm and SVM algorithm respectively. Based on the PSO-SVM combination model, the 44 groups of data was used to study the influencing factors and corrosion rate, meanwhile the 10 groups of data was used to predict. The predictions are compared with the GA-SVM model, the LS-SVM model and the CV-SVM model to verify the advancement and feasibility of the proposed method. The results show that the temperature has a relatively large influence on the corrosion rate of the multiphase flow pipeline in the seabed. The influence of pressure on the corrosion rate of the multiphase flow pipeline in the seabed is relatively small. The PSO-SVM combined model is used in the submarine multiphase flow pipeline. The e error of corrosion rate prediction is only 1.848% on average, and the model training time is only 3.17s, both of which are smaller than other models. The research proves that the PSO-SVM combination model has strong advancement and feasibility for the prediction of the internal corrosion rate of submarine multiphase flow pipelines.
Research on Railway Passenger Volume Prediction Based on LSTM Neural Network
Authors: Xu Yuping , Wei Xu , Chen Siwei
Published: December 2019

Accurate railway passenger volume prediction plays an important role in the development of railway passenger transport industry. Taking the national railway passenger volume as an example, based on the data of 2005-2017, LSTM neural network prediction model is established. The prediction model results are compared with the actual situation, and the relative error rate is analyzed. The results show that the prediction model of LSTM neural network has low error and good prediction effect.
Logistics distribution mode analysis based on demand forecast
Authors: Shen Qimeng
Published: December 2019

With rapid development of marketization in rural areas, the demand for logistics in rural areas, especially small-piece logistics for special agricultural products and daily necessities of farmers, has increased exponentially. Meanwhile, the supply of rural small-piece logistics cannot meet the demand over country. At present, postal companies and large private express delivery companies such as SF Express, YunDa Express, and ZhongTong Express are considered to be effective measures to alleviate the unbalanced situation, but their services do not satisfy markets in rural areas in three aspects: reasonable price, high efficiency and quality. In this paper, in order to establish a technically feasible and economically rational joint distribution mode, demand forecast for five counties in Hainan province is carried out based on time series model. Then two types of joint distribution mode are proposed based on the forecast using Logit model. Our results show that bus pick-up mode is suitable for initial start-up stage of rural small-piece logistics distribution projects, and logistics special-purpose vehicle distribution mode is suitable for mature stage of rural small-piece logistics projects.
Prediction Of Arrival Volume Based On Improved Markov SCGM(1,1)c Model
Authors: Fan Mengying , Zheng Mingxia , Hu Liu
Published: December 2019

Aiming at the fact that the arrival gauges of port ships have the characteristics of increasing trend but abnormal fluctuation, and combined with the prediction methods commonly used for random events, this paper proposed a Markov SCGM(1,1)c model for a single-factor system, and the Markov SCGM(1,1)c model is improved by using the method of equal dimension gray number and sliding transfer probability matrix. The results show that the residual mean of the improved Markov SCGM(1,1)c prediction model is reduced to a certain extent, that is, the fitting degree is improved, the prediction accuracy is improved, and the ability to modify the mutation data is enhanced, which meets the actual requirements and provides theoretical support for port anchorage planning.
Evaluation of Lane Reduction “Road Diet” Measures in China
Authors: Huang Jingbo , Ma Jun , Chen Duo , Zhao Yongqiang , Gao Chun
Published: December 2019

Road diet measures are widely used abroad, but they have not been implemented in China. One of the important reasons is that we usually think that the reduction of the number of lanes will cause traffic congestion. In order to evaluate the impact of lane reduction “road diet”measures, we implemented road diet reform measures in Shoushan Road to Longxing Road section of Xinghai North Street, Xingcheng City. After nearly one year of adaptation, we evaluate the implementation plan from three aspects in this study: safety, operation, and subjective feeling. Then design a questionnaire to investigate the subjective feelings of drivers, bicyclists and pedestrians on road diet measures. The questionnaire data shows that 56% of drivers has been illegally occupying the non-motorized road or central yellow line area, the main reason is that the speed of the vehicle ahead is too slow and there is no illegal capture equipment. More than 70% of bicyclists believe that their number of rides has increased. More than 90% of pedestrians think it is easier to cross the street, and they used to stay in the central yellow line area. Using VISSIM and SSAM to evaluate the traffic operation and safety aspects before and after the road reform, the results show that after the reform, the average speed decreases by about 5km/h, the travel time for left turn on the road segment generally increases, and the number of conflict points decreases by about 33%.
Prediction of Driver’s Stop-Go Decision at Signalized Intersection Based on EEG
Authors: Zhou Jiahao , Yan Xuedong , Duan Ke , Zhang Yuting , Yang Jingsi
Published: December 2019

Red light running (RLR) results in a large number of collisions and injuries of motor vehicles in the world. One of the main causes of RLR crashes is that drivers are unable to make the right decisions at intersections. In recent years, researchers have studied the influence of drivers’ behavior on their stop-go decisions and used behavior to predict driver’s decision-making. However, few studies used EEG to predict drivers’ stop-go decisions. This study proposes a method based on BPNN to predict drivers’ stop-go decisions using EEG data and provides a new research direction for the study of drivers’ stop-go behavior.
Research on Bus Station Setting of Adjacent Signalized Intersection Based on Vissim
Authors: Chen Hongting , Xie Qingxia , Wang Rong
Published: December 2019

In order to improve the capacity of intersections, this paper discusses the impact mechanism of bus stations on vehicle delays at the upstream and downstream of adjacent intersections. Using VISSIM simulation software and taking two-way six lanes as the main line for simulation, it can be obtained that the greater the distance between the platform and the stop line, the smaller the average delay of vehicles; The lower the traffic volume is, the less the delay per bus is, and the recommended position of bus platform under different traffic volume is given according to the delay curve;taking Xuzhou mining university station as an example, this paper compares the vehicle delay between the recommended location and the existing location, and verifies the effectiveness of the recommended location of the bus station at the adjacent signal intersection.
Research of emergency feeder bus scheme for urban rail transit under unexpected incident
Authors: Liu Jiarui , Wu Xianyu
Published: December 2019

Because of rail transit’s fixed track, once the normal operation is interrupted due to unexpected events, a large number of passengers will be detained. The application of scheme for emergency feeder bus which include not only bus dispatching, but also the scheme of bus line operation is an efficient way to evacuate detained passenger when the rail transit is held up. To solve the problem of emergency feeder bus, it is suggested that the scheme of the bus dispatching and bus route layout be proposed on the basis of determining the affected passenger flow and analyzing the selection behavior of passengers. Based on the bus emergency reserve point, the transfer algorithm is proposed. An emergency bus route layout model is established, in which passengers who do not choose emergency bus connections are excluded, and corresponding connection schemes are designed. Finally, an example is given, and the result shows that considering passenger choice behavior will save scheduling cost, and the emergency bus transfer plan considering passenger choice behavior has certain practical significance.
Research on Risk Early Warning Mechanism of Urban Metro Construction
Authors: Li Meng , Wu Denghui , Zou Jian
Published: December 2019

The subway construction in China has developed rapidly in recent years, but due to the influence of subway construction technology and construction environment, risk incidents occur frequently in the process of subway construction. Referring to the experiences and practices of Beijing Metro construction, combined with the relevant knowledge of risk early warning, the function process of risk early warning is clarified, that is, the classification and identification of risk early warning grade, early warning issuance, early warning response, and early warning mitigation. The application effect of early warning mechanism in risk management of metro station construction is studied, which provides reference for risk early warning management of metro construction.
Research on Financial Benefit Distribution of Supply Chain Finance Based on Risk Factor
Authors: Deng Yiguo
Published: December 2019

Because there are many unfair distribution phenomena in the existing distribution model of supply chain financial benefits, it is necessary to establish a fair and reasonable distribution method of benefits. Firstly, this paper analyzes the risks faced by financing companies, core enterprises, banks and third-party logistics enterprises under the prepayment financing model in supply chain finance, and then quantifies the risks of each member enterprises through BP neural network. Finally, the initial benefit distribution model of prepayment financing model is constructed by combining the maximum entropy method, and the initial benefit distribution model is modified by the risk value faced by each member company, and the rational distribution of the interests of each member enterprise is realized.
Experimental and numerical research on the safety of an EMU running on a normal-speed railway line under strong wind
Authors: Xu Jun , Chen Zhengwei , Liu Tanghong
Published: December 2019

In order to establish the rapid traffic economic circle in Xinjiang province, there is a plan to operate the EMU (Electric Multiple Units) in Nanjiang normal-speed railway line. But there is few standard and experience that the EMU running on the normal-speed railway under strong wind. Therefore, the present work conducts a full-scale test to research the safety of the EMU running on the normal-speed railway to obtain the train aerodynamic and system dynamic performance. Furthermore, the part of deteriorate reasons of train aerodynamic performance is studied by the CFD (Computational Fluid Dynamics) method. In the next step, based on the experimental and CFD results, the disadvantage of current windproof facility will be found and improved to satisfy the requirement of the operation safety of the EMU.
Research on Vehicle Speed Calculating Method of Traffic Accident Based on Reduplicated Video
Authors: Wei Liang , Wang Yan
Published: December 2019

With the wide application and product upgrading of monitoring equipment in China’s road traffic management system, more and more traffic accidents are recorded in real time and intuitively, which plays an important supporting role in traffic accident handling. In view of the inconvenience of obtaining surveillance video from public security traffic management departments, this paper studies and proposes a method of calculating the speed of traffic accidents by using the remake video images. In this paper, the method of calculating vehicle speed by using remake video is studied by using real vehicle test method, the influence of the difference between the frame frequency of remake video and that of original video on the calculation result of vehicle speed is analysed, and the accuracy of this method in calculating vehicle speed is verified by real vehicle test, it has important practical value for speed identification of traffic accidents.
Evaluating the Impact of Road Constructions on Oversaturated Intersections: A Simulated-Based Case Study
Authors: Yao Enjian , Shen Hao , Huan Ning
Published: December 2019

During the road construction, the road capacity would be affected by the construction activities. Moreover, unreasonable traffic organization in construction area not only aggravate the decline of road capacity, but also greatly affect the operation of surrounding traffic. Thus, it is necessary to optimize the traffic organization with construction activities, including optimize the signal timing scheme of intersections and analyze the impact of construction area design. First, taking the construction of Metro Line 6 in Chengdu, China as the studying case, the signal timing is optimized with the minimization of vehicles delay as the optimization objective. Then, a comprehensive sensitivity analysis of the size of working area and the length of transition area is further performed. The results show that the length of construction working area should be set as short as possible, while the transition area has the least impact on traffic operation when its length is set at 50m ~ 60m. Meanwhile, with the increase of the length of the construction area, the intersection with higher green letter ratio would be less sensitive to the changes.
Mechanical Structure Design of Underground Logistics System Based on Passenger and Freight Transportation
Authors: Li Qhanzhen , Lai Yunfei , Wang Qiang , Lu Zhenyu
Published: December 2019

Urban underground rail transit in China serves people, but at the same time, there is a problem of insufficient utilization of resources. To make more effective use of subway resources and alleviate traffic pressure, aiming at the problem of insufficient use of time and space resources in the process of Metro operation, this paper proposes a logistics system of underground railway based on the underground logistics system of passenger and freight co-transported. On this basis, the mechanical structure design of the system is carried out in the aspects of metro transportation and transformation of the Metro station. Firstly, the paper analyses the shortcomings in the current situation of Metro operation, discusses the underground logistics system of passenger and freight co-transportation, then focuses on the mechanical structure design of the system, and uses SolidWorks to simulate and analyze the mechanical structure to ensure the feasibility of the system and improve the utilization rate of Metro resources.
Research on design, production and sales factors of mobile phone based on online review analysis
Authors: Zhu Tianlu , Wang Zixuan
Published: December 2019

Based on the relationship between mobile online review elements and mobile product stages, this paper extracted the online review data of four mobile phones on the online shopping platform. The SPSS logarithm was used for descriptive statistics and cluster analysis, and an indicator system of purchase decision factors based on mobile phone design, production and sales was established. Finally, relevant countermeasures and Suggestions are put forward for enterprises and shopping platform from the perspectives of mobile phone design, production and sales, by analyzing the index system and the consumer preference of the target user group.
Analysis on the Information Management of Social Security
Authors: Wang Han , Liu Longzhu
Published: December 2019

The social security undertaking is a relatively complicated and large-scale social system project. It requires multiple government departments to cooperate with each other and participate in management. Therefore, problems such as poor information communication, unclear division of duties, and improper data storage are inevitable. And the management agencies caused a lot of inconvenience. Many insured people could not receive insurance benefits on time due to various reasons, which caused inconvenience to the people’s life and increased social unrest factors.
Research on the Incentive Optimization of Scientific and Technological Innovation in State-owned Enterprises
Authors: Wang Han , Shi Shude
Published: December 2019

At present, there are still some shortcomings in the incentive work for state-owned enterprises in science and technology innovation. It is necessary to follow the law of scientific research work, aim at promoting the innovation and development of scientific research work, and proceed from the actual needs of scientific research personnel to optimize the incentive mechanism for scientific research personnel. Adopt economic incentives, honor incentives, environmental incentives and growth incentives to conduct multi-angle, all-round and multi-level incentives for researchers. Do a good job of “combination boxing” to continuously improve the enthusiasm and satisfaction of researchers.
Research on the Vehicle Turnover Equipment Inventory Demand Forecasting Based on System Dynamics
Authors: Zhang Dapeng , Li Fengju , Wang Fengzhong , Gao Rui
Published: December 2019

The method of system dynamics was applied to the forecasting of the vehicle turnover equipment inventory demand. This paper first analyzed the key indicators affecting inventory demand forecasting and their causality, then established the dynamic model of the vehicle turnover equipment inventory demand forecasting. Finally, the accuracy and applicability of the method was validated, which can provide reference for inventory demand forecasting of army turnaround equipment.
The Impact of Auditor Switch on Private Sector’s Financial Constraints during the Implementation of the PPP Contract: Empirical Analysis Based on PSM-DID Model
Authors: Li Nuo
Published: December 2019

Government intervention is the primary reason for the failure of PPP projects in China. Therefore, project implementing agencies should “loosen the shackle” of social capital or project companies (private sector), so as to give full play to their subjective initiative and innovative spirit. Practically, however, the winning of the social capital or the project company in the implementation of the PPP will tend to take opportunism behaviour in order to increase their income, resulting in the phenomenon of “the winner’s curse”, so the project implementing agencies still need through inspection, testing, auditing, and other ways to supervise and control the social capital or the project company. Based on the above research background, It will be of great significance to explore the impact of auditor changes on the subsequent financing constraints of the private sector during the implementation of PPP contracts. Using data from listed companies participating in PPP project construction from 2000 to 2017, through the PSM-DID model, we find that: After eliminating the selectivity bias, auditor changes result in additional costs of debt; Audit opinion shopping, accompanied by auditor changes, makes listed companies face greater debt financing constraints during the implementation of the PPP contract. The results of this study enrich the research on the influence factors of corporate financial constraints and the corporate governance mechanisms of audit market, and reveal the effectiveness of audit supervision in PPP mode to improve project management efficiency and project operation.
Analysis of the Influence of High-speed Railway Engineering Construction Management on Enterprise Innovation Management Performance
Authors: Xiao Xiang , Wei Wenzhuo
Published: December 2019

The construction of high-speed rail engineering brings not only the convenience of lifestyle, but also accelerates the flow of talents, capital and other resource elements, thus promoting the improvement of corporate performance. This paper takes the four vertical and four horizontal high-speed railway lines constructed in 2009-2014 as a quasi-natural experiment, adopts the double difference model, and introduces enterprise innovation management as an intermediary variable to examine and evaluate the economic effects brought by high-speed rail engineering construction to enterprises from a microscopic point of view. The results show that the construction of high-speed rail projects mainly improves the management performance of enterprises by promoting the flow of talents and stimulating the innovation management of enterprises. The conclusions of this paper help to deepen the analysis of the economic effects of high-speed rail construction, and provide a reference for the country to further accelerate the construction of high-speed rail and promote the regional economic development with the help of high-speed rail construction.