Chapter
Jul 2, 2019
A Vehicular Mobility Model for Ramp Control Based on Artificial Fish Swarm Algorithm
Authors: Daxin Tian, Yuanhao Zhao, Xuting Duan [email protected], Wei Hao [email protected], and Weiqiang GongAuthor Affiliations
Publication: CICTP 2019
Abstract
We propose an innovative vehicle mobility model based on vehicle-to-vehicle communication and vehicle-to-environment perception. This model is inspired by the artificial fish school algorithm, which can achieve the self-organization of the vehicle formation and mobility on the ramp entrance of freeways. Several experiments are conducted to validate and analysis the proposed model. In addition, the results also display evaluation parameters in traffic engineering for the model. The simulation results prove that this model can represent the mobile vehicles in vehicle-to-vehicle communication scenarios.
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Published In
CICTP 2019
Pages: 5757 - 5769
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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Authors
Affiliations
Daxin Tian
Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang Univ., Beijing 100191, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, SiPaiLou # 2, Nanjing 210096, China.
Yuanhao Zhao
Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang Univ., Beijing 100191, China.
Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang Univ., Beijing 100191, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, SiPaiLou # 2, Nanjing 210096, China. E-mail: [email protected]
School of Traffic and Transportation Engineering, Changsha Univ. of Science and Technology, Changsha, 410114, China. E-mail: [email protected]
Weiqiang Gong
Nanjing LES Information Technology Co., Ltd., Nanjing, China.
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