Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231417
Xuewu Lin, Jianqiang Wang, Qing Xu, Gaolei Shi, Yi Jin
Tire-road friction coefficient (TRFC) estimation is significant to ADAS and high-level autonomous driving. This paper presents a dynamics-based method of real-time TRFC estimation. 2D-LuGre model and unscented Kalman Filtering have been utilized to achieve real time TRFC estimation during both straight driving and steering condition. Observability of the established system based on LuGre model is proved. The observable condition is compatible with reality and simulation result, which can be considered as the theoretical effective boundary of all dynamics-based methods. The performance of our method has been verified by simulation experiment, and results show that our method can achieve high accuracy, convergence speed and robustness.
{"title":"Real-Time Estimation of Tire-Road Friction Coefficient Based on Unscented Kalman Filtering","authors":"Xuewu Lin, Jianqiang Wang, Qing Xu, Gaolei Shi, Yi Jin","doi":"10.1109/ICITE50838.2020.9231417","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231417","url":null,"abstract":"Tire-road friction coefficient (TRFC) estimation is significant to ADAS and high-level autonomous driving. This paper presents a dynamics-based method of real-time TRFC estimation. 2D-LuGre model and unscented Kalman Filtering have been utilized to achieve real time TRFC estimation during both straight driving and steering condition. Observability of the established system based on LuGre model is proved. The observable condition is compatible with reality and simulation result, which can be considered as the theoretical effective boundary of all dynamics-based methods. The performance of our method has been verified by simulation experiment, and results show that our method can achieve high accuracy, convergence speed and robustness.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"18 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":"131800785","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}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231422
Feijie Wang, Hongyang Yu, Lingxiao He, Yongqiang Bao
This article presents research on a station express model of a single loop mode based on implicit numeration. The station dwelling and surpassing location setting and saved time of passenger flow are calculated by research on the station express solution, departure frequency, and station-surpassing setting as well as analysis of the effect of the station express solution in the Jinhua- Yiwu-Dongyang Rail Transit Line. Passenger time is substantially reduced and the travel efficiency is remarkably increased in this solution.
{"title":"Research on a Station Express Model of a Single Loop Mode Based on Implicit Numeration","authors":"Feijie Wang, Hongyang Yu, Lingxiao He, Yongqiang Bao","doi":"10.1109/ICITE50838.2020.9231422","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231422","url":null,"abstract":"This article presents research on a station express model of a single loop mode based on implicit numeration. The station dwelling and surpassing location setting and saved time of passenger flow are calculated by research on the station express solution, departure frequency, and station-surpassing setting as well as analysis of the effect of the station express solution in the Jinhua- Yiwu-Dongyang Rail Transit Line. Passenger time is substantially reduced and the travel efficiency is remarkably increased in this solution.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"43 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":"131821068","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}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231418
Yiwei Guo
This paper describes a reinforcement learning (RL) approach to train timetabling, which takes into account the characteristics of inter-city high speed railway lines in China. A potential advantage of the proposed approach over well-established mathematical programming approaches lies in that it does not rely heavily on domain expertise to define the various timetabling rules and strategies. Specifically, a discrete time Markov Decision Process (MDP) is established to model the studied problem, and a well-designed RL method is proposed to solve the problem, assuming that the fundamental information about the studied lines (minimum running times, headways, stopping patterns, etc.) is known. Four inter-city high speed railway lines that operate on the Beijing-Tianjin corridor are employed as a case study to test the performance of the proposed approach. The obtained results preliminarily demonstrate the effectiveness and applicability of the proposed approach.
{"title":"A Reinforcement Learning Approach to Train Timetabling for Inter-City High Speed Railway Lines","authors":"Yiwei Guo","doi":"10.1109/ICITE50838.2020.9231418","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231418","url":null,"abstract":"This paper describes a reinforcement learning (RL) approach to train timetabling, which takes into account the characteristics of inter-city high speed railway lines in China. A potential advantage of the proposed approach over well-established mathematical programming approaches lies in that it does not rely heavily on domain expertise to define the various timetabling rules and strategies. Specifically, a discrete time Markov Decision Process (MDP) is established to model the studied problem, and a well-designed RL method is proposed to solve the problem, assuming that the fundamental information about the studied lines (minimum running times, headways, stopping patterns, etc.) is known. Four inter-city high speed railway lines that operate on the Beijing-Tianjin corridor are employed as a case study to test the performance of the proposed approach. The obtained results preliminarily demonstrate the effectiveness and applicability of the proposed approach.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"13 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":"131924775","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}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231333
Zhaohui Wang, Yang Yang, E. Yao, Hekai Zhuang, Yigang Li
With the development of tourism, traffic congestions of the road connecting tourist attractions are increasing. It is important of analyzing tourism travel mode to alleviate traffic congestion and guide tourism volume. This paper focuses on the tourism travel mode choice behavior, a travel mode identification algorithm based on cell phone signaling data is proposed. Firstly, the time-space threshold algorithm is designed to identify the origin point of travel, then travel mode identification model is established based on fuzzy identification theory. The identification results are compared with the results of Badaling Great Wall tourism travel mode questionnaire survey, which shows that they are basically consistent.
{"title":"Tourism Travel Mode Identification Based on Cell Phone Signaling Data","authors":"Zhaohui Wang, Yang Yang, E. Yao, Hekai Zhuang, Yigang Li","doi":"10.1109/ICITE50838.2020.9231333","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231333","url":null,"abstract":"With the development of tourism, traffic congestions of the road connecting tourist attractions are increasing. It is important of analyzing tourism travel mode to alleviate traffic congestion and guide tourism volume. This paper focuses on the tourism travel mode choice behavior, a travel mode identification algorithm based on cell phone signaling data is proposed. Firstly, the time-space threshold algorithm is designed to identify the origin point of travel, then travel mode identification model is established based on fuzzy identification theory. The identification results are compared with the results of Badaling Great Wall tourism travel mode questionnaire survey, which shows that they are basically consistent.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"908 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132948422","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}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231326
Mengling Wu, Zewang Yuan, Chun Tian, Maolin Chen
The rationality of friction model affects the accuracy of rail temperature calculation. A temperature-dependent coefficient of friction (COF) was adopted to develop a 3-D FE model for calculating the rail temperature. A comparison of the results between the models using the temperature-dependent and constant COF was conducted. The peak temperature is 524.73 °C at the slippage of -50% from the temperature-dependent COF, while that is 727.88°C from the constant COF. The temperature rises linearly in the model with the temperature-dependent COF, while the temperature goes up slowly gradually before reaching the peak in the model with the constant COF. The temperature gradient in the model with the constant COF are larger than that with the temperature-dependent COF.
{"title":"Modeling Rail Contact Temperature with a Temperature-dependent Coefficient of Friction","authors":"Mengling Wu, Zewang Yuan, Chun Tian, Maolin Chen","doi":"10.1109/ICITE50838.2020.9231326","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231326","url":null,"abstract":"The rationality of friction model affects the accuracy of rail temperature calculation. A temperature-dependent coefficient of friction (COF) was adopted to develop a 3-D FE model for calculating the rail temperature. A comparison of the results between the models using the temperature-dependent and constant COF was conducted. The peak temperature is 524.73 °C at the slippage of -50% from the temperature-dependent COF, while that is 727.88°C from the constant COF. The temperature rises linearly in the model with the temperature-dependent COF, while the temperature goes up slowly gradually before reaching the peak in the model with the constant COF. The temperature gradient in the model with the constant COF are larger than that with the temperature-dependent COF.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"9 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133041452","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}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231459
Rui Tao, Yuqing Song
Traffic data analysis is a key step for intelligent transportation systems, and identifying traffic peaks is essential for subsequent traffic pattern analysis. Existing traffic peak detection methods consists of data smoothing and peak picking. We present a max-tree based traffic peak picking method, which constructs the max-tree of the input traffic flow data. Each node in the max tree is a component of an upper level set. We define the prominence of a component as the height difference between a top point and the higher of the left and right foot points of the component. The saliency of a peak is measured by the component prominence. The method generates candidate peaks of positive prominence. The method works directly on noisy traffic data, and the output candidate peaks and their prominences offer the subsequent analysis step the flexibility to choose peaks at any scale.
{"title":"An Automatic Traffic Peak Picking Method Based on Max Tree","authors":"Rui Tao, Yuqing Song","doi":"10.1109/ICITE50838.2020.9231459","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231459","url":null,"abstract":"Traffic data analysis is a key step for intelligent transportation systems, and identifying traffic peaks is essential for subsequent traffic pattern analysis. Existing traffic peak detection methods consists of data smoothing and peak picking. We present a max-tree based traffic peak picking method, which constructs the max-tree of the input traffic flow data. Each node in the max tree is a component of an upper level set. We define the prominence of a component as the height difference between a top point and the higher of the left and right foot points of the component. The saliency of a peak is measured by the component prominence. The method generates candidate peaks of positive prominence. The method works directly on noisy traffic data, and the output candidate peaks and their prominences offer the subsequent analysis step the flexibility to choose peaks at any scale.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"17 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":"114401989","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}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231355
Jiayu Shen, Qingxiao Liu, Huiyan Chen
An accurate and efficient environment perception system is crucial for intelligent vehicles. This study proposes an optimized 2D object detection method utilizing multi-sensor fusion to improve the performance of the environment perception system. In the sensor fusion module, a depth completion network is used to predict dense depth map, so both dense and sparse RGB-D images can be obtained. Then, an efficient object detection baseline is optimized for intelligent vehicles. This method is verified by KITTI 2D object detection dataset. The experimental results show that the proposed method can be more accurate than many latest methods on KITTI leaderboard. Meanwhile, this method consumes less inference time and shows its high efficiency.
{"title":"An Optimized Multi-sensor Fused Object Detection Method for Intelligent Vehicles","authors":"Jiayu Shen, Qingxiao Liu, Huiyan Chen","doi":"10.1109/ICITE50838.2020.9231355","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231355","url":null,"abstract":"An accurate and efficient environment perception system is crucial for intelligent vehicles. This study proposes an optimized 2D object detection method utilizing multi-sensor fusion to improve the performance of the environment perception system. In the sensor fusion module, a depth completion network is used to predict dense depth map, so both dense and sparse RGB-D images can be obtained. Then, an efficient object detection baseline is optimized for intelligent vehicles. This method is verified by KITTI 2D object detection dataset. The experimental results show that the proposed method can be more accurate than many latest methods on KITTI leaderboard. Meanwhile, this method consumes less inference time and shows its high efficiency.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"258 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":"114261700","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}
In the CBTC system, movement authority is the lifeline. Calculation error of movement authority can lead to vehicle destruction and cause enormous loss of life and property. Therefore, it is necessary to ensure correctness of movement authority for train use. This paper provides a solution to ensure the correctness of train movement authority. After calculating the movement authority for the train, the system uses a heterogeneous algorithm to re-check the obstacle information within the movement authority. Only when no obstacle information is found within the movement authority can the movement authority information be exported to the train. Otherwise, the system remains in safe status. This solution can effectively prevent the occurrence of major accidents.
{"title":"A Solution to Ensure Correctness of Movement Authority","authors":"Shusong Yang, Xiangyang Wang, Junyang Fang, Wen Fu, Zhengwen Huang","doi":"10.1109/ICITE50838.2020.9231409","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231409","url":null,"abstract":"In the CBTC system, movement authority is the lifeline. Calculation error of movement authority can lead to vehicle destruction and cause enormous loss of life and property. Therefore, it is necessary to ensure correctness of movement authority for train use. This paper provides a solution to ensure the correctness of train movement authority. After calculating the movement authority for the train, the system uses a heterogeneous algorithm to re-check the obstacle information within the movement authority. Only when no obstacle information is found within the movement authority can the movement authority information be exported to the train. Otherwise, the system remains in safe status. This solution can effectively prevent the occurrence of major accidents.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"308 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":"124249278","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}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231421
Jinfeng Wang, Lianying Sun
Urban rail transit is an important part of urban public transport, which has the advantages of large passenger traffic volume, punctuality and efficiency, but it also has the disadvantage of weak resistance to some disasters. In the event of accidents, how to effectively evacuate a large number of passengers has become the hot issue among the researchers in recent years. Based on the literature of passenger evacuation model in city rail transit at home and abroad, On this basis, combined with the safety characteristics of urban rail transit in China, we the development trend of passenger emergency evacuation modeling technology.
{"title":"Trend Analysis of Passenger Evacuation Modeling Technology in Urban Rail Transit","authors":"Jinfeng Wang, Lianying Sun","doi":"10.1109/ICITE50838.2020.9231421","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231421","url":null,"abstract":"Urban rail transit is an important part of urban public transport, which has the advantages of large passenger traffic volume, punctuality and efficiency, but it also has the disadvantage of weak resistance to some disasters. In the event of accidents, how to effectively evacuate a large number of passengers has become the hot issue among the researchers in recent years. Based on the literature of passenger evacuation model in city rail transit at home and abroad, On this basis, combined with the safety characteristics of urban rail transit in China, we the development trend of passenger emergency evacuation modeling technology.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"35 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":"125373968","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}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231330
M. Su, Y. Yue
In recent years, with the continuous growth of passenger flow, there are different degrees of congestion and unreasonable utilization of car resources in subway cars. In order to solve the above problems, this paper uses the method of displaying the congestion degree to the passengers, so that the passengers can know the congestion situation of the arriving subway cars in advance, so as to select the cars reasonably. Based on this, a subway car passenger guidance system based on array resistance pressure sensor is designed.Firstly, this paper determines the overall structure of the system, and also describes the work flow of the whole system; secondly, according to the hardware part of the pressure sensing part of the subsystem, this paper makes a more detailed design, determines the sensors selected in this paper, designs the structure of the pressure collection array and the wiring mode, and designs the hardware circuit of this part; Finally, the workflow of congestion display is introduced. The application of this system will be of great significance to improve the comfort of passengers, make rational use of car resources and ease the congestion of car so as to reduce the security risks.
{"title":"Design of Subway Passenger Guidance System Based on Array Resistance Pressure Sensor","authors":"M. Su, Y. Yue","doi":"10.1109/ICITE50838.2020.9231330","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231330","url":null,"abstract":"In recent years, with the continuous growth of passenger flow, there are different degrees of congestion and unreasonable utilization of car resources in subway cars. In order to solve the above problems, this paper uses the method of displaying the congestion degree to the passengers, so that the passengers can know the congestion situation of the arriving subway cars in advance, so as to select the cars reasonably. Based on this, a subway car passenger guidance system based on array resistance pressure sensor is designed.Firstly, this paper determines the overall structure of the system, and also describes the work flow of the whole system; secondly, according to the hardware part of the pressure sensing part of the subsystem, this paper makes a more detailed design, determines the sensors selected in this paper, designs the structure of the pressure collection array and the wiring mode, and designs the hardware circuit of this part; Finally, the workflow of congestion display is introduced. The application of this system will be of great significance to improve the comfort of passengers, make rational use of car resources and ease the congestion of car so as to reduce the security risks.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"58 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":"117329078","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}
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