Journal of Guangxi Normal University(Natural Science Edition) ›› 2017, Vol. 35 ›› Issue (3): 14-21.doi: 10.16088/j.issn.1001-6600.2017.03.002

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Modeling and Stability Analysis of Traffic Flow Car-following Modelwith Continuous Memory Effect

CHEN Chunyan, XU Zhipeng, KUANG Hua*   

  1. College of Physical Science and Technology, Guangxi Normal University, Guilin Guangxi 541004, China
  • Online:2017-07-25 Published:2018-07-25

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Abstract: In order to investigate the impacts of driver’s self-determination characteristic on traffic flow, an extended self-stabilizing control driving car-following model is proposed by considering the driver’s continuous memory for vehicle velocity changes in real traffic. It is expected that the stability of traffic flow can be improved. The stability condition a>2V′(b)(1-λγ) of this model is obtained by using the linear stability analysis. Compared with the Bando’s optimal velocity (OV) model, it can be found that the critical value ac of the sensitivity in the new model decreases and the stable region is apparently enlarged. The numerical simulation results show that the effect of driver’s continuous memory can obviously improve the stability of traffic flow, and effectively suppress the traffic jams.

Key words: traffic flow, car-following model, stability analysis, numerical simulation

CLC Number: 

  • U491.1
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