首页> 外文期刊>Communications in Nonlinear Science and Numerical Simulation >Enhanced stability of car-following model upon incorporation of short-term driving memory
【24h】

Enhanced stability of car-following model upon incorporation of short-term driving memory

机译:结合了短期驾驶记忆,提高了跟车模型的稳定性

获取原文
获取原文并翻译 | 示例
       

摘要

Based on the full velocity difference model, a new car-following model is developed to investigate the effect of short-term driving memory on traffic flow in this paper. Short-term driving memory is introduced as the influence factor of driver's anticipation behavior. The stability condition of the newly developed model is derived and the modified Kortewegde Vries (mKdV) equation is constructed to describe the traffic behavior near the critical point. Via numerical method, evolution of a small perturbation is investigated firstly. The results show that the improvement of this new car-following model over the previous ones lies in the fact that the new model can improve the traffic stability. Starting and breaking processes of vehicles in the signalized intersection are also investigated. The numerical simulations illustrate that the new model can successfully describe the driver's anticipation behavior, and that the efficiency and safety of the vehicles passing through the signalized intersection are improved by considering short-term driving memory. (c) 2016 Elsevier B.V. All rights reserved.
机译:本文在全速差模型的基础上,开发了一种新的汽车跟随模型,以研究短期驾驶记忆对交通流量的影响。引入了短期驾驶记忆作为驾驶员预期行为的影响因素。推导了新开发模型的稳定性条件,并构建了改进的Kortewegde Vries(mKdV)方程来描述临界点附近的交通行为。通过数值方法,首先研究了一个小扰动的演化。结果表明,该新的跟车模型比以前的改进,在于新模型可以提高交通稳定性。还研究了信号交叉口中车辆的起停过程。数值模拟表明,该新模型可以成功描述驾驶员的预期行为,并且通过考虑短期驾驶记忆可以提高通过信号交叉口的车辆的效率和安全性。 (c)2016 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号