Research of Vehicles Collecting and Distributing Model Considering the Interference of Side Vehicle

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Abstract:

The agglomeration characteristics which are shown in traffic jams are similar to the biological swarm characteristics. It can be gat that besides the front vehicle causes acceleration, the side vehicle will lead to the deceleration and lateral displacement too, and the potential field will be influenced. This paper considers both the impact of front vehicle and side vehicle, and establishes the vehicles collecting and distributing model taking into account the interference of the side vehicle. After that the genetic algorithms is used to calibrate the relevant parameters, and the validity of the model is verified.

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2117-2121

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] D.Z. Cheng and H.Z. Chen: From warm to social behavior control. Science & Technology Review, (2004), pp.4-7.

Google Scholar

[2] S.M. Chen: Research on Several Swarming Behavior Based on Local Information. Huazhong University of Science & Technology, (2006), pp.8-11.

Google Scholar

[3] D.M. Wang: Research on Flocking Motion Control and its Performances Huazhong University of Science and Technology, (2009).

Google Scholar

[4] J. He: the research of Multi-agent system control method based on Flocking theory, Nanjing University of Science and Technology, (2009).

Google Scholar

[5] B. Gunay: Car following theory with lateral discomfort. Transportation Research Part B (2007). p.722–735.

DOI: 10.1016/j.trb.2007.02.002

Google Scholar

[6] P.F. Tao: Analysis and modeling on the Car-following Behavior with Considering the Impact of Lateral Vehicles Jilin University (2009).

Google Scholar

[7] S. Jin: Modeling of Car Following Behavior Considering Visual Attention Performance, Jilin University, (2010).

Google Scholar

[8] X.L. Huang, B. Liang, H.X. Wu: Collision Avoidance Planning Summary. Aerospace control, (2002), pp.34-41.

Google Scholar

[9] Q. Xiao: Research on Flocking of Multiple Robots Based on Artificial Potential Field Theory Huazhong University of Science & Technology Wuhan, (2007).

Google Scholar