Modeling chain collisions in vehicular networks with variable penetration rates |
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| Institution: | 1. Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems & Safety Control, School of Transportation Science and Engineering, Beihang University, Beijing 100191, China;2. Department of Engineering and Design, The University of Sussex, Richmond 3A09, UK;3. Research Institute of Highway Ministry Transport, Beijing 100088, China;4. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, No. 2 SiPaiLou, Nanjing 210096, China;1. Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing 100191, China;2. School of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, Beihang University, Beijing 100191, China;3. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 210096, China;4. Department of Engineering and Design, University of Sussex, Brighton BN 1 9RH, UK;5. The Texas Department of Transportation, Austin TX 78750, USA;6. College of Computer Science and Technology, Jilin University, Changchun 130012, China;1. Research Center for Geotechnical Engineering & Information Technology, Sun Yat–sen University, Guangzhou 510275, China;2. School of Engineering, Sun Yat–sen University, Guangzhou 510275, China;3. School of Marine Sciences, Sun Yat–sen University, Guangzhou 510275, China |
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| Abstract: | The vehicular ad hoc network has great potential in improving traffic safety. One of the most important and interesting issues in the research community is the safety evaluation with limited penetration rates of vehicles equipped with inter-vehicular communications. In this paper, a stochastic model is proposed for analyzing the vehicle chain collisions. It takes into account the influences of different penetration rates, the stochastic nature of inter-vehicular distance distribution, and the different kinematic parameters related to driver and vehicle. The usability and accuracy of this model is tested and proved by comparative experiments with Monte Carlo simulations. The collision outcomes of a platoon in different penetration rates and traffic scenarios are also analyzed based on this model. These results are useful to provide theoretical insights into the safety control of a heterogeneous platoon. |
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| Keywords: | Vehicular networks Chain collision Penetration rate Stochastic model |
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