bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Integrated Application System of Internet of Things in Oil Depot
Authors: Xiao Bin , Yang Kai , Liang Hongbo
Published: July 2021

To improve the efficiency of oil support, it is necessary to realize the integrated application of the equipment and systems related to the Internet of Things in oil depots. Based on the service-oriented design idea, this paper puts forward the architecture of the integrated application system of the oil depot Internet of Things, which lays a foundation for the integrated application of the oil depot Internet of Things data and related business systems through the design of business system component, data model standardization and system interface service. At the same time, through the data integration framework and process design of the Internet of Things, the data model design of the Internet of Things integration platform, and the system integration design based on service bus, it provides a key technical way for the development and implementation of the integrated application system of the Internet of Things in oil depots.
Equal Sinusoidal Division of Array Manifold Matrix Based Direction-of-Arrival Estimation for Dual-functional Radar-communication
Authors: Yu Miao , Yu Xiaoyou , Zeng Shengyan , Yang Qi
Published: July 2021

In view of the large computational complexity and poor real-time performance of l1
norm convex optimization process for DOA estimation based on compressed sensing sparse reconstruction, the SAMP greedy algorithm is used to replace the l1
norm to obtain the approximate solution of l0
norm optimization in DOA estimation. The array manifold matrix is divided by equal sinusoidal, which satisfies the MIP criterion better. An iterative regularization sparsity adaptive matching pursuit (IR-SAMP) algorithm is proposed, which makes the SAMP algorithm better approximate the signal sparsity and reduces the estimation error. IR-SAMP algorithm uses regularization method and backtracking screening, and eliminates the inappropriate atoms in the backtracking stage, so as to better approximate the signal source sparsity. Simulation results show that the proposed IR-SAMP algorithm in single snapshot DOA estimation under equal sinusoidal sparse division is better. At the same time, IR-SAMP algorithm has low computational complexity, as for coherent signal source, which also has a better estimation effect.
Analysis on the classification and research direction of wireless charging technology
Authors: Liu Yahui , Lin Yin , Ren Gaojian , Zhou Daiyong
Published: July 2021

Wireless charging technology is wireless power transmission through electromagnetic wave. Wireless charging technology can make the product design get rid of the shackles of cable and make the product design more compact and miniaturized. This paper introduces the wireless charging technology. in order to overcome the heavy charging cable, realize wireless charging anytime and anywhere; Electronic equipment has the trend of miniaturization, low power consumption and standardization of wireless charging; The application of Internet of things and the sensor of wireless sensor network do not need to connect, power supply and send and upload data through cable. As well as wireless charging, charging efficiency, its impact on the human body, ultra-low power sensors and commercial operation of wireless charging technology are the research focus of wireless charging technology.
Application of Simultaneous Location and Map Construction Algorithms Based on Lidar in the Intelligent Robot Food Runner
Authors: Cheng Jia , Liu Zhendong , He Jiaxi , Deng Yuting , Zhang Hao
Published: July 2021

With the rapid development of artificial intelligence, there are more and more “shadows” of artificial intelligence in restaurants. In the market, the intelligent robot food runner is relatively expensive and not widely used. In this paper, an intelligent robot food runner with lower price but better performance is proposed, which is suitable for restaurants. Among them, this paper mainly analyzes how to use laser radar SLAM to build restaurant map, locate and navigate, and how to build obstacle avoidance and path planning. Through ROS platform, the whole process of intelligent robot food runner is simulated and verified, which can meet the needs of restaurants.
Terminal Evaluation System Based on Digital Twin and Its Application
Authors: Yuan Jianan , Zhen Yan , Huo Chao , Zheng Libin
Published: July 2021

Many deployed terminal devices require high stability after equipment delivery, and the project cycle is short, the task is many, the time is tight, and the manpower is limited. At present, the test of this kind of equipment is carried out by the combination of manual configuration of test instruments and manual duty, and there are many problems. In order to reduce the test cost and promote the development of the industry, this paper studies the terminal evaluation method and system based on digital twin technology, realizes the simulation test of terminal function integrity, performance compliance, protocol standard compliance, compatibility, security and reliability at the virtual level, and selects the necessary test items. The application of project results can ensure the high scalability of terminal evaluation and reduce the waste of resources caused by unnecessary testing.
Chipless tag detection and recognition based on frequency modulated continuous wave
Authors: Zhang Qianglin , Zou Chuanyun , Jiao Liangyu
Published: July 2021

Towards the commercialization of chipless radio frequency identification (RFID) systems, there are still some pressing issues. The detection and identification of chipless RFID tags are mainly realized by a vector network analyzer (VNA). In practice, this equipment is costly and not convenient enough. This paper designs a maneuverable detection model based on frequency modulated continuous wave (FMCW), the detection target is an 8-bit chipless tag based on a variable-side-length spiral resonance unit and decodes the amplitude and phase information. On this basis, signal processing is performed on the generated amplitude and phase based on the Savitzky-Golay (SG) smoothing algorithm, and then the simulation data of HFSS is compared with ADS model data by the matrix pencil method (MPM). The results show that the proposed FMCW-based method can be effectively implemented in wireless communication, providing a new solution for flexible and inexpensive chipless tag detection and recognition.
Distributed Robust Optimization of Integrated Energy System Considering Integrated Demand Response
Authors: Dong Shuai , Wang Shaomin , Lin Zhuoran , Jian Xuehui , Sun Fengjie , Sun Hongyu
Published: July 2021

Integrated energy system is receiving extensive attention. In order to solve the problem of economic operation caused by uncertainty of renewable energy generation in integrated energy system, a distributed robust optimization method considering integrated demand response is proposed. Firstly, the optimization model of integrated energy system is established by taking the minimum total cost of system operation as the objective function. Secondly, the probability distribution of the random vector of power prediction error is described in the form of set, which does not need to limit the probability distribution form of the random vector, but describes all possible probability distribution of the random variable by moment uncertainty ambiguity sets. Thirdly, the demand response is considered to alleviate the economic growth of integrated energy system in response to uncertainty. Finally, the effectiveness of proposed method is proved by a simple integrated energy system.
A Delivery Time-based Competition Strategy for Community O2O e-tailer: A Study
Authors: Chang Liu
Published: July 2021

The community O2O e-tailer can offer the trade of life services within a five-kilometer radius of the community by building online and offline interactive e-tailer platforms between residents and businesses. However, the development of community O2O e-tailer has not been going as planned, failing many expectations. Hence, this paper investigates the two main influencers, namely price and delivery time, by taking the new e-tailers entering the online retail market as the research object. Through a Stackelberg model of community O2O e-tailer and B2C retailer, the competition strategies for the community O2O e-tailers are analyzed. The results revealed that the community O2O e-tailer could not gain any advantage under the homogenized competition. For the sustainable development of e-tailers, a thorough analysis of the community needs, and hence a differentiated competition strategy is required. The post-pandemic period offers a seamless opportunity to do that, which will allow the O2O e-tailer to transform and develop.
Numerical simulation of slope failure treatment of a tunnel portal section based on MIDAS GTS
Authors: Wang Yetao , Zhu Guanyu , Ding Linbo , Zhuang Dequan , Ba Wenwen
Published: July 2021

In order to ensure the safety of tunnel construction, a retaining structure is needed to control landslides and reinforce tunnels in slope failure areas. Numerical simulation is used to study the interaction mechanism between tunnel excavation and slope displacement under the reinforcement of the “upper retaining” anti-slide pile. The results show that: the “upper retaining type” anti-slide pile as the supporting structure has a significant effect on the control of tunnel deformation in the slope failure section; the displacement deformation of the tunnel vault is consistent with that of the anti-slide pile, which indicates that the anti-slide pile retaining structure based on the “tunnel landslide system” can significantly improve the stress of the tunnel structure and is conducive to the safety of the tunnel structure and stability of the slope.
Analysis of sediment variation trend and genesis in Jinzhou Port Sea area
Authors: Jing Xu , Nan Wang , Youping Shou , Mingjing Tian
Published: July 2021

This paper collected the monitoring data of jinzhou sea in July 2008, September 2013 and September 2016, and analyzed in detail the variation trend of main pollutants (copper, lead, zinc, cadmium, mercury, arsenic, chromium, petroleum, sulfide, and organic carbon) in the sediment in Jinzhou sea. The results show that the regional Marine sediment environment before the implementation of reclamation (July 2008) is general, the regional Marine sediment environment during the implementation of reclamation (September 2013) and at the present stage (September 2016) is good, and the Marine sediment shows a good trend after the implementation of reclamation project. With the construction of the port area, large-scale dredging and backfilling, the contaminated surface layer sediments in the port area have been effectively removed and controlled.
A Vision-Inertial Odometer Design Based on ORB and Sliding Window
Authors: Liu Qinghe , Zhang Xue , Zhang Yankun , Zhao Guqi
Published: July 2021

In order to improve the positioning accuracy and system reliability of the visual odometer in outdoor environment, this paper proposes an unmanned vehicle positioning system using monocular camera and Inertial measurement unit (IMU). The system uses improved ORB algorithm to extract image feature points and establishes a tightly coupled visual-inertial odometer system based on sliding window and nonlinear optimization. Verified by experiment, it can adapt to the environment of changing light, and can complete the positioning task of unmanned vehicles in the outdoor environment.
Analysis of cascading failures of interdependent networks based on time-delay coupled map lattices model
Authors: Hu Tao , Wang Dong , Liu He , Yang Xin , Jiang Longting , Zhu Shijian , Huang Zhenyu
Published: July 2021

The robustness of coupled network under cascading failure has attracted a lot of attention. In real word, the networks don’t exist in isolation, and the interdependent network is an important network model. In the process of fault propagation, there is usually delay, and a node may have multiple interdependent links. A cascading failure model based on coupled map latices for small word interdependent network is built in this paper. The research shows that when the external perturbation 3.7<R<4.0, the cascading failure ranges of high-degree and random strategy in interdependent network are close, and the different time-delay can induce different range of cascading failure in interdependent network. The thresholds of the external perturbation are common under different time-delay when the whole interdependent network is failed. The time-delay also can prolong the failure spreading time during which measures can be taken to suppress cascading failures. The research can provide a reference for building high-robust transport interdependent network.
Design of Racing Car Muffler in FSAE Based on GT-Power
Authors: Wang Zhengming , Pan Jialun , Su Wei
Published: July 2021

Muffler plays a very important role in the internal combustion engine vehicle, and plays a key role in reducing noise. Formula SAE (FSAE) also has strict rules for noise, so the proper muffler is very important. Using GT-Power series software to optimize the internal structure of muffler is a common solution at present. Through the cooperation of resistance structure and resistance structure, noise loss can reach 20%, and finally the design scheme meeting the target is obtained. At the same time, the resistive structure is conducive to improve the exhaust back pressure, so as to improve the torque output of the vehicle at low speed. Through the simulation analysis of the software and the coupling analysis of dynamic performance and noise value, a muffler suitable for FSAE can be obtained.
Wrinkling instability and mandrel design of thin walled tube
Authors: Lu Chong , Lu Lianzhu
Published: July 2021

In view of the wrinkling and instability phenomenon in the bending process of thin-walled pipe, the factors such as bending die, pipe material, bending technical parameters and bending equipment are analyzed. The ideal pipe fitting method is achieved by designing the chain disk mandrel, reasonably selecting the number of mandrel chain plates and mastering its correct use method.
Research on Technology of Accuracy Related Tests of Pressure Transmitters on Rolling Stocks
Authors: Zihua Li , Yu Cao , Xiebin Ding , Dongsheng Zhao
Published: July 2021

Many pressure transmitters are used on rolling stocks, and their reliability and accuracy are of importance to the safety of the railway systems. In this paper, the technical solutions of accuracy related tests of different types of pressure transmitters and the effect of temperature on accuracy are studied and are carried out to verify that the test results meet the requirements in the relevant standards
Research on Strength Test Technology and Fatigue Evaluation Method of Bogie Frame and Body Bolster
Authors: Yu Cao , Chong Lu , Zihua Li , Jie Song , Xiebin Ding
Published: July 2021

Bogie frame and body bolster are of vital importance to the reliable operation of the rolling stocks. There are two kinds of test methods for bogie frame and body bolster. One is separate test, and the other is joint test. To effectively detect the strength performance of bogie frame and body bolster as well as to improve the test efficiency, we adopted the method of joint test, and designed the test plan according to the standard. The strength test of bogie frame and body bolster is carried out where load analysis is studied and applied. The structural performance of bogie frame and body bolster is evaluated by means of Goodman fatigue limit diagram.
Research on Key Influence Factors of Sustainable Development Capability of Smart City Based on Hybrid Decision Model
Authors: Huang Yuantao , Hu Yingtong
Published: July 2021

The development of economy and the progress of human society are urging the pace of urban development. The combination of urban services, information and communication technologies has given birth to smart cities. In the long-term construction process, the sustainable development capacity of smart cities is weak. In order to enhance the sustainable development capability of smart cities, we establish an indicator system of factors affecting the sustainable development of smart cities and use decision-making trial and evaluation laboratory (DEMATEL) and analytic network process based on DEMATEL (D-ANP) to analyze the interrelationships and relative importance of influence factors. The results reveal that in the evaluation index system of smart city sustainability development, Smart governance (D2) has the greatest impact on other dimensions. As for the impact on the sustainable development of smart cities, the influence of smart city mechanism (D3) has the largest weight, smart people’s livelihood (D1) and Smart governance (D2) have similar weights. Based on the results, suggestions for improvement are provided for the sustainable development of smart cities.
A Lossy Compression Algorithm for Phasor Measurement Units Data Based on Auto-encoder and Long Short Term Memory
Authors: Wang Shouxiang , Zhang Sheng , Hu Shiyao , Rong Chunyan , Chen Haiwen
Published: July 2021

With the wide deployment of phasor measurement units (PMU) in power system, the amount of data generated by various measurement devices is increasing, which brings new challenges to data transmission and storage. In this paper, a lossy data compression algorithm based on auto-encoder and Long Short-Term Memory (LSTM) is proposed for PMU data. Specifically, the auto-encoder is used to extract the features of the measurement data first, and then saved the feature vectors to achieve the effect of data compression. When need to decompress the measurement data, the compressed data is input into the decoder to achieve decompression. Compared with the traditional algorithms, the algorithm proposed in this paper can effectively reduce the reconstruction error. At the same time, it can be combined with the existing lossless compression algorithm to further improve the compression rate.
Preferred Parking Space Recommendation Method Based on Multi-attribute Decision-making Algorithm
Authors: Fei Chen , Xiaolin Li
Published: July 2021

Based on a large parking lot with a large number of parking spaces and different parking space attributes, combined with the attributes of free parking spaces and the driver’s preference factors when choosing parking spaces, a preferred parking space recommendation method based on a multi-attribute decision-making algorithm is proposed. In the decision-making process, a new weighting method is proposed to avoid the shortcomings of subjective arbitrariness and ignoring subjective preferences, while reducing the deviation between the combined weight and the subjective and objective weights. Finally, the absolute deviation method is used to verify the new weighting method, the effectiveness of the algorithm will also be verified through examples.
Study on the minimum distance between three lane ramp continuous exits of stereoscopic structure highway
Authors: Meng Lian , Zhiwei Zhang , Jian qiang Gao , Yuanyuan Jin
Published: July 2021

Under the design model of stereoscopic structure highway, conventional one-lane and two-lane ramps can no longer meet the traffic conversion requirements of interchange, so three-lane ramps should be designed in interchange. Due to the changing of design form, the existing single-lane and dual-lane design indicators cannot meet the design requirements of the three-lane ramp, especially in the continuous diversion area. Thus, according to the design requirements of the three-lane ramp in the stereoscopic structure highway, this paper discusses the distance between adjacent connecting parts when the main line and the ramp are continuously diverted. First, it analyzes the driving behavior on the continuous diversion section of the ramp. Then, based on the lane-changing theory, the formula of the vehicle lane-changing length, the driver’s recognition of the signs, the driving behavior are used to establish the models, which calculate the main line to the ramp diverging stage and ramp again diverging stage. After that, the recommended value of the minimum distance between consecutive exits at different ramp design speeds can be calculated. Finally, a 360 ° full view driving simulation platform is used to verify the rationality and applicability of the model from the aspects of driving trajectory, speed running characteristics and driver’s physiological index changes. The experimental results show that the value of the calculation model conforms to the driving habit, and all test drivers successfully completed the experiment, and the average driving distance in the experiment is less than the theoretical calculation value. Therefore, it can be considered that the theoretical model and relevant parameters established in this paper are reasonable and have certain engineering applicability.
Railway Timetable Optimization for Air-Rail Intermodal Service
Authors: Wang Anyu , Cheng Yan , Nie Lei , Fujiyama Taku
Published: July 2021

Both aviation and high-speed rail are developing rapidly, which promotes the popularity of intermodal services. However, most cooperation only comes from political support. Operational measures should be taken for further improvement. In such circumstance, a model is proposed in this study to improve the quality of services and strengthen the connectivity between two modes by optimizing the railway timetable. The model is set to maximize the connection numbers of two modes. To take journey is “air-rail” or “rail-air” into consideration, we divide passengers into four groups. The original model is linear and can be calculated by commercial solvers. The models were applied on a case China. The results showed that the model is effective, the connection numbers improved by 40.2%.
Numerical Simulation of Force Mechanism of Nanping Tunnel
Authors: Li Tao , Zhu Baolong , Luo Bo , Li Tao
Published: July 2021

Based on the landslide of Nanping tunnel, the causes of landslide in Nanping tunnel are obtained by using the research method of numerical simulation, and the stress mechanism of tunnel under the action of landslide thrust and the stress change process of tunnel in the process of disease treatment are simulated and studied after the formation of landslide surface, which verifies that the treatment effect of the current treatment measures is good. The results provide a basis for similar projects.
Study on the rise of container liner transportation industry against the trend under the epidemic situation: Research on liner monopoly mechanisaper
Authors: Chen Chujun , Sun Ling , Meng Yijie , Liu Wei
Published: July 2021

In the context of COVID-19, this paper will focus on the rebound of the container market in the context of the epidemic, explore its reasons and experience, and provide theoretical foundations and suggestions for other industries that have been hit hard by the epidemic.
Distribution Center Location Model Based on Gauss-Kruger Projection and Gravity Method
Authors: Zhang Jielin , Weng Ziyang , Guo Yujue
Published: July 2021

The latitude and longitude coordinates are converted into Gaussian plane coordinates through the forward calculation of the Gauss-Kruger projection, and then the location is selected through the center of gravity method, and then the location result is converted into the latitude and longitude coordinates through the reverse calculation of the Gauss-Kruger projection. This method was then applied to the location of distribution centers among the four cities in Zhejiang Province, and reasonable results were obtained.
Function Area Spatial Layout Method of Large High-Speed Rail Hub
Authors: Yue Hao , Duan Yifeng , Zhang Mengyu , Yang Ziyu , Liu Qiumei
Published: July 2021

Physical space of large high-speed rail (HSR) hub is the foundation of passenger aggregation, distribution and transfer. The spatial layout method of its function areas is the research hotspot in the field of transportation hub design. Aiming at the goal of minimizing the pedestrian walking distance, a spatial layout method for function area based on pedestrian flow of high-speed rail hub has come up. According to the characteristics of passenger activity and movement, the hub space is divided into different function areas macroscopically. Combined with case analysis, the general steps of the spatial layout method of high-speed rail hub and effectiveness of this method are illustrated.
A mixed integer programming model based on Biomass Straw Energy Utilization Engineering warehouse logistics site selection
Authors: Guo Chenxi , Wang Zhanwu , Hou Tianjiao
Published: July 2021

When the scale of biomass straw energy utilization project is relatively large, it is necessary to build a biomass straw storage and logistics center to ensure the stability of the project. By biomass straw lowest total logistics cost as the objective, considering the biomass straw briquette processing, variable cost and fixed cost of biomass straw storage cost and biomass straw warehousing logistics center construction cost to build the mixed integer programming model, to determine the biomass straw warehousing logistics center location, flow rate and maximum capacity. Taking Henan Province as an example, the paper selects the stalk storage and logistics center of biomass straw in Xinyang Jinniu Logistics Industry concentration area, Nanyang River logistics park and Zhoukou Port comprehensive logistics park through model calculation.
Layout Design of Chang-Zhu-Tan Tobacco Logistics Park Based on SLP Method
Authors: Kaifan Luo , Ailian Zhou , Kefeng Wang
Published: July 2021

With the development of the tobacco logistics industry, the layout design of the tobacco logistics park is receiving more and more attention. By referring to domestic and foreign research literature and data from Hunan Provincial Statistical Yearbook, using unary linear regression model and gray prediction model to predict the total amount actually entering the Chang-Zhu-Tan Tobacco Logistics Park in the future, using MATLAB software for calculation. According to the calculation results, use the SLP method carries out the layout design of the logistics park, and finally draws the park layout plan diagram, internal flow line diagram and external traffic organization diagram.
Research on Picking Route Optimization Based on Simulated Annealing Algorithm
Authors: Zhang Danyi , Zhang Ji
Published: July 2021

This paper aims to optimize the low efficiency of picking operations in the distribution center at present stage, and to study the problem of outbound picking routes in the same-end in-out automated warehouse. Aiming at the traditional NP difficult-to-solve algorithm, in order to solve the limitations of the accuracy and scale of the existing algorithm, this paper takes a certain outbound task of the Baidie distribution center as an example, which uses the simulated annealing algorithm to optimize the picking path. In addition, the optimization results are compared with the results of the nearest-neighbor heuristic and the nearest-insertion heuristic. The results show that, compared with the nearest-neighbor heuristic and the nearest-insertion heuristic, the path distance of the algorithm designed in this paper is reduced by 25% and 16.67% respectively, which has a significant improvement.
The Use of Artificial Intelligence in the Construction of Operation Safety Early Warning Management System of Urban Rail Transit
Authors: Lu Yuqiang
Published: July 2021

In order to reduce the risk of safety management of urban rail transit (URRT) and improve the safety early warning of URRT, artificial intelligence (AI) is used to construct the early warning management system of URRT. Firstly, the four factors that affect the safety of URRT are discussed, the URRT system is divided into several modules, and the functions of each module are introduced. Secondly, the safety early warning analysis module is designed based on neural network technology to make it have the ability of safety early warning. Finally, the security prediction system is tested. The results show that the overall prediction error of probabilistic neural network algorithm used is less than 5%, and the classification accuracy of PNN is about 50%, which can achieve excellent prediction of data. The safety early warning system is used to predict the passenger flow of a station, and compared with the actual passenger flow, the prediction model has good prediction accuracy and credibility. Therefore, the safety early warning management system of URRT designed can meet the needs of practical application. This paper provides a reference for the safety management of URRT.
Analysis on Optimization of Normal Bus Lines along Urban Rail Transit
Authors: Wang Qingling , Liu Ying , Lai Liping
Published: July 2021

Starting with the relations of spatial topological structure between urban rail transit and normal bus lines, this paper expounds the adjustment principles and Strategies of normal bus lines along the line after the completion of urban rail transit from two aspects of station and line. Taking Fuzhou Subway Line 2 as an example, this paper analyzes the characteristics of bus lines with long overlapped sections in the area directly served by the subway stations, and puts forward corresponding suggestions for optimization.
A Key Path-Based Deep Learning Approach for Urban Traffic Speed Prediction
Authors: Chen Wentian , Fang Jie , Liu Zhijia , Xu Mengyun
Published: July 2021

Traffic speed prediction in the urban road network is an important and promising task of intelligent transportation systems. Precise traffic speed prediction can mitigate traffic congestion and improve road network utilization. This task is challenging because of the complexity of the spatiotemporal dependency of traffic data among road network. Existing approaches mainly focus on the whole road network and it may capture much redundant information and lead to high computational cost. In this paper, we propose a Key Path-Based Deep Learning Approach: Path-Based CNN-1D + GRU + CNN-2D (P-CGC), a novel deep learning model for traffic speed prediction. Specifically, we use EST-matching algorithm to match the float car data into the road network. Then we select several key paths and build the model for the loop detectors which are in the same key path. We introduce CNN-1D, GRU to extract the temporal dependency of the data, where CNN-1D is used to fuse the contextual information, and GRU is used to capture the features of the temporal dimension. Then we concatenate the output of all CNN-1D+GRU models and use CNN-2D to capture the spatial dependency of the data. Finally, a fully connected neural network is used to transform features into the prediction. We conduct extensive experiments on Zhangzhou real-world datasets, and the proposed approach achieves a good result.
Fault Diagnosis Method of Road Traffic Communication Network Based on SVM
Authors: Mi Jia
Published: July 2021

The development of road traffic communication technology makes communication means more diverse. With the increase of the complexity of urban road traffic communication network, the fault diagnosis of road traffic communication network has been paid more and more attention. The alarm data in the communication network is the manifestation of network failure. Network operation and maintenance personnel can understand the current network operation status according to the alarm information displayed in the system, and then analyze, locate and handle the fault. Therefore, the identification of alarm information is very important for the timely treatment of network failure. In this paper, based on the existing communication network theory and network equipment alarm information, this paper proposes a method using SVM, which can effectively solve the fault identification of network communication input anomaly.
Study on the effect of Acid Rain erosion on the Road performance of Steel Slag Asphalt mixture
Authors: Zhang Yi Luo , Wang Zhao , Liu Guo Pu , Kou Yuan De
Published: July 2021

in order to study the influence rules of acid rain erosion on the road performance of steel slag asphalt mixture, the artificial acid rain solution of pH=2 and distilled water of pH=7 were used to carry out periodic immersion erosion test on asphalt mixture with different amount of steel slag (0, 30%, 50%, 70%), then rutting test, low temperature bending test and freeze-thaw splitting test were carried out on the asphalt mixture eroded by acid rain. The results show that after soaking in acid rain solution, the high temperature stability, low temperature crack resistance and water stability of each steel slag asphalt mixture decrease, and the decreasing range increases with the increase of soaking period. The high temperature stability, low temperature crack resistance and water stability of steel slag asphalt mixture soaked in distilled water also decreased, but the decrease was small.
Research on the Application of System Theory in Traffic Engineering
Authors: Xue Han , Di Wang
Published: July 2021

Traffic engineering is a subject of systematisms, comprehensiveness, intersections, sociality, advance and dynamics. Therefore, system theory is particularly important in the study of traffic engineering. The main task of system theory is to take the system as the object, to study the relationship between the system as a whole and the elements that make up the system as a whole, and to explain its structure, function, behavior and dynamics in essence, so as to grasp the system as a whole and achieve the optimal goal. The systematic analysis methods such as graph theory and operations research are applied to the analysis of traffic engineering problems, so as to meet the needs of the development of “New Engineering” in traffic engineering.
Research on the Safety Governance of Overload and Overrun Transportation on Urban Expressways Based on Big Data Analysis—Taking Huai’an City as an Example
Authors: Hui Sun , Kefeng Wang
Published: July 2021

With the rapid development of traffic, urban expressways are becoming more and more popular. However, the problem of overload and overrun on expressways that followed has been repeatedly banned, seriously affecting transportation safety. This article takes the urban expressway in Huai’an as an example, collects big data, analyzes the data with SPSS software, and combines the real case of the viaduct collapse in Wuxi to provide governance strategies for expressway overload and over-run control and improve transportation safety.
Research on Improvement of Parking Generation Rate Model Based on Behavior Selection
Authors: Xue Han , Dongdong Zhang
Published: July 2021

The traditional parking generation rate model can no longer forecast the demand of parking slots accurately under the pattern of shared parking. Shared parking, which can make full use of the free time of private or non-private parking slots, has become an effective way to ease the pressure of urban parking. Therefore, shared parking behavior selection generation (SPBSG) model is established, based on the analysis of residents’ shared parking selection behavior. The SPBSG model fully simulates residents’ parking choice preferences, shared slots management, parking time differences between different land types, and walking distance after parking. Experiment shows that the SPBSG model can reduce parking slots by 24.45% compared with the traditional parking demand prediction method.
Simulation Study on Surrounding Rock Deformation of Strongly Weathered Sandstone Tunnel Supported by Pipe Shed
Authors: Zhang Liyan , Wen Yuan , Ma Jian , Cao Wenhao
Published: July 2021

Strongly weathered sandstone belongs to the category of soft rock and is easily deformed and damaged during tunnel excavation. In order to explore the control effect of the pipe shed advanced support on the deformation of the strongly weathered sandstone tunnel. This paper uses FLAC3D software to simulate the excavation and support of strongly weathered sandstone, and compares the deformation before and after the support. Through analysis and research, it is found that the pipe roof support has greatly improved the amount of deformation and horizontal convergence of the tunnel vault. The dome subsidence and horizontal convergence are reduced from 162mm and 126mm to 19mm and 13mm respectively, and the reduction is 143mm and 113mm respectively. It can provide experience for similar projects in the future.
Traffic optimization design of The Intersection of Zhan Qian Road and Min Zhu Zhong Road in Jiaozuo City
Authors: Li Meiheng , Zhang Guolong , Yang Jiangfan
Published: July 2021

In recent years, my country’s road infrastructure has been vigorously constructed, urban road network density has increased, and road intersections have also been formed. There are more and more T-shaped intersections. Such intersections often have the characteristics of serious traffic intertwining and difficult traffic organization. Opposite the intersection of Zhan Qian Road and Min Zhu Zhong Road is the railway station. A large number of pedestrians have to pass through the intersection at rush hour or when the train arrives at the station. This road has a lot of people and a large number of non-motorized vehicles. The signal lights at the intersection are not perfect, and the traffic demand is large. In this paper, based on the current signal timing plan and the current status of the crosswalk at the intersection, based on the actual current data survey and service level analysis, the optimization design of the intersection signal timing plan and the crosswalk width optimization are completed. The results showed that the average delay at the intersection was improved by nearly 21 seconds, and the crosswalk lengths at the east entrance, west entrance and north entrance were optimized to 2.5m, 2.4m and 2.6m, respectively. Improved road capacity and reduced vehicle delays.
Security analysis of vehicle violation alarm based on intelligent monitoring platform
Authors: Zheng Lanlan , Niu Jiageng , Li Xianghong , Song Huiying
Published: July 2021

With the development and progress of the society, travel modes are constantly diversified. Passenger transport is deeply loved by people for its advantages of efficiency, convenience and comfort. Traffic accidents caused by overspeed driving and fatigue driving are still a big problem to be solved. This paper will be combined with intelligent monitoring platform to provide vehicle violation alarm record, through the analysis of the statistical data analysis and interview method driver speeding, fatigue driving, and combined with the enterprise management department, to improve the relevant management regulations and put forward new measures, effectively reduce the occurrence of vehicle violations, so as to reduce the occurrence of traffic accidents.
Modal Research of Underground Arch Structure With Elastic Support
Authors: Zhuo Chen , Huixiang Sun , Yingjie Yuan
Published: July 2021

Elastic support is a commonly used method of vibration isolation and vibration reduction. The research on the mode of underground arch structure with elastic support can improve the battlefield survival ability of personnel and equipment in underground protection engineering. In this paper, the ANSYS/LS-DYNA nonlinear explicit dynamic finite element analysis program is used to numerically simulate the mode of the elastically supported underground arch structure, and the natural vibration circle frequency variation curve and mode diagram of the structure are obtained. The results show that the elastic support reduces the natural frequency of the structure, prolongs the natural vibration period of the structure, and has a good vibration isolation and vibration reduction effect; the critical stiffness coefficient causes the first and second modes of the structure to be easily excited at the same time, which should be avoided in structural design.
Optimization design of Transportation signal timing based on numerical solution method
Authors: Zhang Guolong , Li Meiheng , Yang Jiangfan
Published: July 2021

In this paper, the improved numerical method is used to time the traffic lights at intersections. The traditional numerical solution method cannot make the setting of phase difference the most reasonable, and the actual distance of each intersection cannot completely meet the ideal distance, resulting in a lot of loss of green time. Therefore, this method still needs to be improved. Although the survey data in this paper are obtained through field investigation, they are still not universal. More accurate data come from multiple surveys and integration.
Strategic research based on the integration of rail transit and urban space
Authors: Yin Jian , Yao ShunYu , Zhou ZiHang , Geng YuYin , Wang YanHao , Luo WenJie
Published: July 2021

At present, from the situation of most cities in China, the development trend of rail transit is very rapid, and based on the closely combined situation of rail transit and urban space development, it has provided a great role in promoting the modernization of our country. It is worth noting that under the background of the gradual development of urban rail transit, some problems are becoming more and more prominent. Only by effectively solving a series of practical problems can we provide impetus and sufficient guarantee for the realization of the strategic goal of the integration of rail transit and urban space.
Top-level Design and Application of Transportation and Tourism Big Data System for High-altitude Regions
Authors: Gu MingChen
Published: July 2021

In the high-altitude regions of Northwest China, where the levels of transportation infrastructure and public travel information services are relatively weak, problems like inadequate consistency, accuracy and timeliness of information services, insufficiently rich content, poorly targeted services, unsatisfactory public experience and large high-altitude risks remain in contrast to tourists’ growing travel demands for safe, convenient, efficient and comfortable transportation. This study discusses the key points in designing the top-level technical framework and application of transportation and tourism big data system in China’s typical high-altitude Qinghai regions. Particular focuses are on the convergence, sharing, integration and opening of transportation and tourism data under self-driving tour-based high-altitude conditions, as well as the comprehensive utilization of technical ideas and application models. Meanwhile, the main application scenarios of the system are explored for all levels of governmental sectors, the public and businesses. As the research show, the establishment of the system has positive implications for enhancing the coordination and linkage efficiencies between high-altitude scenic spots and surrounding road networks, achieving the “integrated” transportation-tourism information services characteristic of high-altitude regions, and improving the comprehensive analytical and decision-making capacity for transportation and tourism in these regions. The application system can improve the diversified service experience of public travel dominated by self-driving tours to a remarkable extent.
Temporal characterisation of silicon sensors on Timepix3 ASICs
Authors: Dall’Occo E. , Akiba K. , van Beuzekom M. , Buchanan E. , Collins P. , Evans T. , Franco Lima V. , Geertsema R. , Schindler H. , Snoek H. , Tsopelas P.
Published: July 2021

The timing performance of silicon sensors bump-bonded to Timepix3 ASICs is investigated, prior to and after different types of irradiation up to 8 × 1015 1 MeV  neq cm−2. The sensors have been tested with a beam of charged particles in two different configurations, perpendicular to and almost parallel to the incident beam. The second approach, known as the grazing angles method, is shown to be a powerful method to investigate not only the charge collection, but also the time-to-threshold properties as a function of the depth at which the charges are liberated.
Old-growth forest loss and secondary forest recovery across Amazonian countries
Authors: Smith Charlotte C , Healey John R , Berenguer Erika , Young Paul J , Taylor Ben , Elias Fernando , Espírito-Santo Fernando , Barlow Jos
Published: July 2021

There is growing recognition of the potential of large-scale forest restoration in the Amazon as a ‘nature-based solution’ to climate change. However, our knowledge of forest loss and recovery beyond Brazil is limited, and carbon emissions and accumulation have not been estimated for the whole biome. Combining a 33 year land cover dataset with estimates of above-ground biomass and carbon sequestration rates, we evaluate forest loss and recovery across nine Amazonian countries and at a local scale. We also estimate the role of secondary forests in offsetting old-growth deforestation emissions and explore the temporal trends in forest loss and recovery. We find secondary forests across the biome to have offset just 9.7% of carbon emissions from old-growth deforestation, despite occupying 28.8% of deforested land. However, these numbers varied between countries ranging from 9.0% in Brazil to 23.8% in Guyana for carbon offsetting, and 24.8% in Brazil to 56.9% in Ecuador for forest area recovery. We reveal a strong, negative spatial relationship between old-growth forest loss and recovery by secondary forests, showing that regions with the greatest potential for large-scale restoration are also those that currently have the lowest recovery (e.g. Brazil dominates deforestation and emissions but has the lowest recovery). In addition, a temporal analysis of the regions that were >80% deforested in 1997 shows a continued decline in overall forest cover. Our findings identify three important challenges: (a) incentivising large-scale restoration in highly deforested regions, (b) protecting secondary forests without disadvantaging landowners who depend on farm-fallow systems, and (c) preventing further deforestation. Combatting all these successfully is essential to ensuring that the Amazon biome achieves its potential in mitigating anthropogenic climate change.
Large-area van der Waals epitaxy and magnetic characterization of Fe3GeTe2 films on graphene
Authors: J Lopes J Marcelo , Czubak Dietmar , Zallo Eugenio , Figueroa Adriana I , Guillemard Charles , Valvidares Manuel , Rubio-Zuazo Juan , López-Sanchéz Jesús , Valenzuela Sergio O , Hanke Michael , Ramsteiner Manfred
Published: July 2021

Scalable fabrication of magnetic 2D materials and heterostructures constitutes a crucial step for scaling down current spintronic devices and the development of novel spintronic applications. Here, we report on van der Waals (vdW) epitaxy of the layered magnetic metal Fe3GeTe2 (FGT)—a 2D crystal with highly tunable properties and a high prospect for room temperature ferromagnetism (FM)—directly on graphene by employing molecular beam epitaxy. Morphological and structural characterization confirmed the realization of large-area, continuous FGT/graphene heterostructure films with stable interfaces and good crystalline quality. Furthermore, magneto-transport and x-ray magnetic circular dichroism investigations confirmed a robust out-of-plane FM in the layers, comparable to state-of-the-art exfoliated flakes from bulk crystals. These results are highly relevant for further research on wafer-scale growth of vdW heterostructures combining FGT with other layered crystals such as transition metal dichalcogenides for the realization of multifunctional, atomically thin devices.