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2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)最新文献

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A Method of Improving the Efficiency of Verification and Validation for the Railway Signaling System 一种提高铁路信号系统验证验证效率的方法
2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2020-09-01 DOI: 10.1109/ICITE50838.2020.9231512
Fagen Fang, Sha Wang, Qingyuan Shang, Qi Fang
{"title":"A Method of Improving the Efficiency of Verification and Validation for the Railway Signaling System","authors":"Fagen Fang, Sha Wang, Qingyuan Shang, Qi Fang","doi":"10.1109/ICITE50838.2020.9231512","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231512","url":null,"abstract":"This paper describes how to make full use of the testing assets reusability to improve the efficiency and quality of the project's requirements validation, design verification and system validation. The core technology of the scheme is accurate text recognition, the reuse of requirement tracking matrix is taken as an example to introduce the implementation scheme and application effect.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125682033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Lightweight Convolutional Neural Networks for Vehicle Target Recognition 用于车辆目标识别的轻量级卷积神经网络
2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2020-09-01 DOI: 10.1109/ICITE50838.2020.9231403
Jintao Wang, Ping Ji, Wen Xiao, Tianwei Ni, Wei Sun, Sheng Zeng
{"title":"Lightweight Convolutional Neural Networks for Vehicle Target Recognition","authors":"Jintao Wang, Ping Ji, Wen Xiao, Tianwei Ni, Wei Sun, Sheng Zeng","doi":"10.1109/ICITE50838.2020.9231403","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231403","url":null,"abstract":"In order to improve the network learning effect, based on the existing target learning framework MobileNet-V2, an ELU function is inserted as an activation function. Firstly, use the expansion convolution to increase the number of channels to get more features to activate and output through the ELU function, which can alleviate the disappearance of the gradient of the linear part, the nonlinear part is more robust to the noise of the input change. Then, the way of the residual connection combine high-level features with low-level features and then output. Finally, output to softmax using global pooling. The experimental data shows that compared with the current mainstream lightweight deep learning target recognition algorithm,E-MobileNet has improved the accuracy of recognition and the frame rate per second in the same test environment of the same test set. The experimental data fully demonstrates that the use of the ELU activation function and the global pooling layer reduces the number of parameters, enhances the generalization ability of the model, and improves the robustness of the algorithm. On the basis of ensuring the light weight of the neural network model, the recognition accuracy of the target is effectively improved.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122408419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Slip Ratio Control in Rail Vehicle Braking with Sliding Mode Control Method 滑模控制方法在轨道车辆制动中的滑移率控制
2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2020-09-01 DOI: 10.1109/ICITE50838.2020.9231461
Tengyu Ma, Mengling Wu, Chun Tian
{"title":"Slip Ratio Control in Rail Vehicle Braking with Sliding Mode Control Method","authors":"Tengyu Ma, Mengling Wu, Chun Tian","doi":"10.1109/ICITE50838.2020.9231461","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231461","url":null,"abstract":"Wheel slide protection is the safe-related fundamental function for rail vehicle braking systems. The braking distance depends on the adhesion condition and the anti-skid controller's performance. In this paper, a sliding mode slip ratio control method was proposed based on online estimation of the tangential force between wheel and rail. Simulation results show that the estimator can estimate the tangential force with braking force and wheel's angular speed as inputs. And the actual slip ratio can track the reference value whether it is a constant or time-variant one. This method helps to control the sliding degree when wheelsets skidding during braking under degraded adhesion condition.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124480473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on V2I/V2V Hybrid Multi-hop Edge Computing Offloading Algorithm in IoV Environment 车联网环境下V2I/V2V混合多跳边缘计算卸载算法研究
2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2020-09-01 DOI: 10.1109/ICITE50838.2020.9231334
Yueqing Wang, Xi Hu, Lijun Guo, Zhaoyang Yao
{"title":"Research on V2I/V2V Hybrid Multi-hop Edge Computing Offloading Algorithm in IoV Environment","authors":"Yueqing Wang, Xi Hu, Lijun Guo, Zhaoyang Yao","doi":"10.1109/ICITE50838.2020.9231334","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231334","url":null,"abstract":"Due to the fast move of vehicle nodes and the limit cover range of the RSUs in IoV, one-hop MEC maybe is interrupted for the task vehicle moving out of the cover range of the current RSU. Therefore, multi-hop MEC is necessary to solve this problem. This paper proposes a V2I/V2V hybrid multi-hop edge computing offloading (VCMO) algorithm, which focuses on the optimal multi-hop edge computing offloading method. Furthermore, a multi-hop offloading overhead model is also established to evaluate the performance. The simulation results show that, comparing to other multihop edge computing offloading algorithms, VCMO has lowest offloading overhead.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124766101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Research on Application Scenarios of Interoperability for Urban Rail Transit 城市轨道交通互操作性应用场景研究
2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2020-09-01 DOI: 10.1109/ICITE50838.2020.9231343
X. Shi
{"title":"Research on Application Scenarios of Interoperability for Urban Rail Transit","authors":"X. Shi","doi":"10.1109/ICITE50838.2020.9231343","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231343","url":null,"abstract":"The interoperability of urban rail transit has become a new operation scenario on account of resources sharing and network operation. This paper presents three main application scenarios of interoperability, which are network scenario of interoperability based on operation planning, scenario of interoperability based on depot sharing, scenario of interoperability based on construction by phases. According to the three scenarios, corresponding application requirements and key points for independent safety assessment of project are analyzed, which provides reference for the engineering practice of interoperability.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122170304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Study on Departure Time Choice of Tourism Purpose Trips with the Perception of Predicted Near-future Traffic Condition - An Experiment Using a Mobile Application 基于近期交通状况预测的旅游目的出行出发时间选择研究——基于移动应用程序的实验
2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2020-09-01 DOI: 10.1109/ICITE50838.2020.9231518
Yiping Le, Saizo Aoyagi, Tetsuo Shimizu, Kazuki Takahashi
{"title":"Study on Departure Time Choice of Tourism Purpose Trips with the Perception of Predicted Near-future Traffic Condition - An Experiment Using a Mobile Application","authors":"Yiping Le, Saizo Aoyagi, Tetsuo Shimizu, Kazuki Takahashi","doi":"10.1109/ICITE50838.2020.9231518","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231518","url":null,"abstract":"Departure time choice of trips has been an essential topic in the research of traffic congestion. This study targets at the departure time choice of tourism purpose trip with a particular focus on the homeward trips after sightseeing. It presented an analysis of data collected by an experimental route search mobile application developed by the authors that provides travel times of “Depart time” and predicted travel time of “Depart later”. The influencing factors that impact on the departure time choice, such as personal characteristics and route search attributes, are examined. The research results found that travelers are more likely to choose “Depart later” when the travel time of “Depart later” is over 10 minutes shorter than that of “Depart now”.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128056503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Algorithm to Calculate Feasible Turnback Time in Complex Route Conditions 一种复杂路径条件下可行返程时间的计算算法
2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2020-09-01 DOI: 10.1109/ICITE50838.2020.9231485
Feijie Wang, Zhenyu Fu, Lingxiao He, Tambominyi Eliasu, Jiangfeng Mao
{"title":"An Algorithm to Calculate Feasible Turnback Time in Complex Route Conditions","authors":"Feijie Wang, Zhenyu Fu, Lingxiao He, Tambominyi Eliasu, Jiangfeng Mao","doi":"10.1109/ICITE50838.2020.9231485","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231485","url":null,"abstract":"This article presents a linear search algorithm based on scanning lines. It resolves calculation of turnback time under conditions of multiple loops of X-type lines, Y-type lines, and ring-type lines in urban rail transit. With this algorithm, a turnback scheme adaptive to passenger flow may be calculated quickly to implement fast and automatic plotting of train diagrams.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130857977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-objective Location Model of Urban Terminal Distribution Network 城市终端配电网多目标选址模型
2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2020-09-01 DOI: 10.1109/ICITE50838.2020.9231432
Zhenlin Wei, Wei Xue, Yuzi Ouyang
{"title":"Multi-objective Location Model of Urban Terminal Distribution Network","authors":"Zhenlin Wei, Wei Xue, Yuzi Ouyang","doi":"10.1109/ICITE50838.2020.9231432","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231432","url":null,"abstract":"The surge in the express delivery business has made all express enterprises face the problem of optimizing the location of the terminal distribution network. Aiming at the traditional location of terminal distribution network only taking the direct investment cost of enterprises into account, without considering the operational risk cost brought by customer satisfaction, this paper constructs a multi-objective location model from the perspective of the enterprise, considering both the direct investment cost and the operational risk cost under user experience. The location model is solved by the genetic algorithm, and the empirical analysis in a certain area of Beijing is carried out.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130043196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Timetable Rescheduling Considering Headway: A Genetic Algorithm Combined with the Benchmark Time Method 考虑车头时距的列车重调度:一种结合基准时间法的遗传算法
2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2020-09-01 DOI: 10.1109/ICITE50838.2020.9231380
Wenkai Xu, Binglei Xie, Xi Zhang, Liqiao Ning
{"title":"Timetable Rescheduling Considering Headway: A Genetic Algorithm Combined with the Benchmark Time Method","authors":"Wenkai Xu, Binglei Xie, Xi Zhang, Liqiao Ning","doi":"10.1109/ICITE50838.2020.9231380","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231380","url":null,"abstract":"This study contributes to dealing with disturbances happening on an urban rail transit line. In order to neutralize the negative effect on passengers, the problem is studied from the passenger-oriented perspective, and a timetable rescheduling model is proposed to reduce the waiting time of all passengers by improving the evenness of headway. Then, the benchmark time method is introduced to determine the specific range of each decision variable, which is combined with an efficient genetic algorithm to solve the large-scale problem within limited time. Finally, some numerical experiments based on a real-world case derived from a Beijing Subway line are carried out. Results show that the proposed method is able to improve the evenness of headway obviously and to generate a good enough rescheduled timetable efficiently.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128698681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Modeling Taxi Passengers' Satisfaction under Internet Plus: A Case of Harbin, China 互联网+下出租车乘客满意度建模——以哈尔滨市为例
2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2020-09-01 DOI: 10.1109/ICITE50838.2020.9231443
Xiaowei Hu, Hui Gong, Zeju Xie
{"title":"Modeling Taxi Passengers' Satisfaction under Internet Plus: A Case of Harbin, China","authors":"Xiaowei Hu, Hui Gong, Zeju Xie","doi":"10.1109/ICITE50838.2020.9231443","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231443","url":null,"abstract":"The application of Internet plus in taxi industry provides a new way for the distribution of taxi supply, which solves the problem of difficulty in hailing taxis and waste in empty car operation. This paper analyzes the factors that affect the satisfaction of taxi passengers under Internet plus, and constructs a passenger satisfaction model of taxi service under Internet plus. Taking Harbin as an example, this paper improves the model through the SP data survey and analyzes the model and data, and quantifies the impact of each indicators on satisfaction of taxi passengers. Finally, the corresponding suggestions are put forward to the taxi software operators and government departments through the data obtained and the relationship between the variables.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121055225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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