Journal of Transportation Systems Engineering and Information Technology ›› 2018, Vol. 18 ›› Issue (3): 68-73.

• Intelligent Transportation System and Information Technology • Previous Articles     Next Articles

Multilane Cellular Automaton Model Based on the Lane-changing Mechanism

DENG Jian-hua, FENG Huan-huan   

  1. College of Civil Engineering, Suzhou University of Science and Technology, Suzhou 215011, Jiangsu, China
  • Received:2018-01-04 Revised:2018-03-29 Online:2018-06-25 Published:2018-06-25

基于换道决策机理的多车道元胞自动机模型

邓建华,冯焕焕*   

  1. 苏州科技大学 土木工程学院, 江苏 苏州 215011
  • 作者简介:邓建华(1972-),男,湖南永兴人,副教授.
  • 基金资助:

    江苏省自然科学基金/ Natural Science Foundation of Jiangsu Province of China (BK20151201);苏州科技大学基金/ Natural Science Foundation of Suzhou University of Science and Technology(341311108, XKQ201305).

Abstract:

Based on exploring the driver’s lane-changing decision mechanism and analyzing internal and external factors of driver’s lane-changing decision, a multilane-changing model, which takes internal factors as decision variable and external factors as constraint condition, is developed. A modified multi-lane cellular automaton model based on lane-changing mechanism is formed by introducing this multilane-changing model into the one-dimensional comfortable driving cellular automaton model. The operation analysis under different V/C conditions of this cellular automaton model shows driver’s lane-changing behavior should lead vehicle’s working conditions about itself and surrounding vehicles to change, such as acceleration, deceleration, uniform speed and idle speed, etc.; different internal and external factors should not only lead average lane-changing number to difference, but also lead fluctuation of the average speed to difference. This multilane-changing model describes lane-changing decision mechanism clearly; and describes common effect of multiple internal and external factors also, has good adaptability and expansibility.

Key words: traffic engineering, cellular automaton, lane-changing decision mechanism, lane-changing decision model, internal and external factors

摘要:

在探索机动车驾驶换道决策机理,分析影响驾驶员换道决策内外因子的基础上,提出了以内部因子为决策变量,外部因子为约束条件的机动车多车道换道模型,并将其引入一维改进舒适驾驶元胞自动机模型,形成基于换道决策机理的多车道元胞自动机模型.不同V/C条件下该元胞自动机模型的运行分析表明:换道驾驶行为会导致自身及周边车辆的加减速、匀速、怠速等运行工况发生变化;不同的内外因子导致车流平均换道次数不同,车流平均速度的波动规律也不同.本文提出的多车道换道模型描述决策机理清晰,能同时描述多个内外因子的共同作用,具有很好的适应性与扩展性.

关键词: 交通工程, 元胞自动机, 换道决策机理, 换道决策模型, 内外因子

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