X. Qiao, Kunfeng Wang, Yuan Sun, Wuling Huang, Fei-Yue Wang
{"title":"A Genetic Algorithms based optimization for TTCAN","authors":"X. Qiao, Kunfeng Wang, Yuan Sun, Wuling Huang, Fei-Yue Wang","doi":"10.1109/ICVES.2007.4456367","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456367","url":null,"abstract":"Controller Area Network (CAN), a typical event- triggered protocol, has been widely used in constructing distributed real time network. A common opinion is that the arbitration mechanism of CAN might introduce jitters, which is highly undesirable in time and safety critical applications. Time-triggered protocols address exactly the problem. Time- triggered protocols, such as Flexray, Time-Triggered CAN (TTCAN) and Time-Triggered Protocol (TTP/C), have been applied in time and safety critical applications because they provide deterministic response times for time and safety critical tasks. Recently, much attention has been paid to them. TTCAN, a time-triggered extension of CAN, can easily apply to the numerous of existing CAN-implementations in a wide range of real time requirement fields. A key problem of TTCAN is how to design an effective scheduling table off-line. In this paper, we analyze message set and design scheduling table from a new angle of view, and the key point of the view is to make event-triggered messages gain the maximum transmission times by minimizing the space occupied by time-triggered messages. Then a Genetic Algorithms (GAs) based method is proposed to optimize the scheduling table consequently.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132548331","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}
Mao Baohua, Jiang Wenzheng, Chen Shaokuan, Liu Jianfeng
{"title":"A computer-aided multi-train simulator for rail traffic","authors":"Mao Baohua, Jiang Wenzheng, Chen Shaokuan, Liu Jianfeng","doi":"10.1109/ICVES.2007.4456354","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456354","url":null,"abstract":"This paper presents a multi-train simulator based on traction calculations for rail traffic. The simulator is developed by object-oriented methods and modular structure design and it can mainly provide three functions for users: single-train traction calculation, multi-train simulation and timetable assessment. The architecture of the simulator and multi-train movement model is first discussed in this paper. Two successive trains running on an inter-city railway line are then modeled by the simulator. The simulation results in the case study show that the computer-aided simulator can effectively analyze the sensitivity between train delays and headways.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127566232","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}
{"title":"A stable longest queue first signal scheduling algorithm for an isolated intersection","authors":"R. Wunderlich, I. Elhanany, T. Urbanik","doi":"10.1109/ICVES.2007.4456393","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456393","url":null,"abstract":"There have been countless efforts directed toward efficiently controlling the flow of traffic through an intersection. This paper describes an algorithm designed for the signal control problem that employs concepts drawn from the field of computer networking. The novel method proposed utilizes a maximal weight matching algorithm to minimize the queue sizes at each approach, yielding significantly lower average vehicle delay through the intersection. Lyapunov function-based analysis is provided, deriving the conditions under which the system is guaranteed to be stable. The algorithm is compared to an optimized fixed time controller using the VISSIM traffic simulation environment. Simulation results clearly demonstrate the performance gain obtained when using the proposed scheme, particularly in the presence of the non-uniform traffic scenario proposed.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129940673","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}
R. Karbalaei, A. Ghaffari, R. Kazemi, S. Tabatabaei
{"title":"Design of an integrated AFS/DYC based on fuzzy logic control","authors":"R. Karbalaei, A. Ghaffari, R. Kazemi, S. Tabatabaei","doi":"10.1109/ICVES.2007.4456356","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456356","url":null,"abstract":"An integrated vehicle dynamics control system is developed in this paper by a combination of active front steering (AFS) and direct yaw-moment control (DYC) based on fuzzy logic control. The control system has a hierarchical structure consisting of two layers. A fuzzy logic controller is used in the upper layer (yaw rate controller) to keep the yaw rate in its desired value. The yaw rate error and its rate of change are applied to the upper controlling layer as inputs, where the direct yaw moment control signal and the steering angle correction of the front wheels are the outputs. In the lower layer (fuzzy integrator), a fuzzy logic controller is designed based on the working region of the lateral tire forces. Depending on the directions of the lateral forces at the front wheels, a switching function is activated to adjust the scaling factor of the fuzzy logic controller. Using a nonlinear seven degrees of freedom vehicle model, the simulation results illustrate considerable improvements which are achieved in vehicle handling through the integrated AFS/DYC control system in comparison with the individual AFS or DYC controllers.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129194245","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}
{"title":"Dynamic simulation and experiment of electric drive system on test bench","authors":"He Hong-wen, Sun Feng-chun, Xing Jie","doi":"10.1109/ICVES.2007.4456395","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456395","url":null,"abstract":"For the energy crisis and air pollution of auto industry, new and clean energy vehicles using electric drive system becomes a kind of solution such as battery electric vehicle, series hybrid electric vehicle and fuel cell electric vehicle. There predicts that electric vehicle will be an important transportation tool in the 21st century. A test bench is designed and built for the electric drive system's performance evaluation. What's more, this test bench can also be used for the electric vehicle's performance evaluation after proper selection the inertia. This paper introduced the design idea and explained the procedure of dynamic simulation of an electric vehicle by an example.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121769203","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}
{"title":"Detection of passing vehicle on the highway","authors":"Zheng Li, Wei Chen, Han-gen He","doi":"10.1109/ICVES.2007.4456408","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456408","url":null,"abstract":"This paper presents a novel method for passing vehicle detection through a monocular camera on the highway, based on the road surface dynamic texture. From the marking line information, the algorithm firstly establishes a model for the texture characters of each lane on the highway. Then, it is estimated whether the area of interesting (AOI) exists by means of using the continuity information of the road surface texture and the similarity information of the surface texture between the adjacent lanes. Finally, whether a vehicle appears in the AOI is confirmed based on the information of the marking line. The experiment demonstrates that this approach can detect the passing vehicle through from the back of the ego-vehicle quickly and correctly. The algorithm is robust and low cost, and it meets the demand of the real-time system.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122278068","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}