bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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%.