Stabilization effect of traffic flow in an extended car-following model based on an intelligent transportation system application
Stabilization effect of traffic flow in an extended car-following model based on an intelligent transportation system application
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DOI：
10.1103/physreve.70.066134
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发表时间：
2004-12-01
影响因子：
2.4
通讯作者：
Xue, Y
中科院分区：
文献类型：
--
作者：
Ge, HX;Dai, SQ;Xue, Y
将智能交通系统引入到车辆跟驰模型中，提出了一种扩展的跟驰模型。利用线性稳定性理论，得到了该模型的稳定性条件。结果表明，预测更多的车辆在前面的行为导致交通系统的稳定。应用约化摄动法导出了临界点附近的修正Korteweg-de弗里斯方程（简称mKdV方程）。交通堵塞可以用mKdV方程的扭结-反扭结孤子解来描述。对车头时距的时空演化进行了仿真，结果表明，考虑了前方多辆车的运动信息，有效地抑制了交通拥堵，分析结果与仿真结果一致。
An extended car following model is proposed by incorporating an intelligent transportation system in traffic. The stability condition of this model is obtained by using the linear stability theory. The results show that anticipating the behavior of more vehicles ahead leads to the stabilization of traffic systems. The modified Korteweg-de Vries equation (the mKdV equation, for short) near the critical point is derived by applying the reductive perturbation method. The traffic jam could be thus described by the kink-antikink soliton solution for the mKdV equation. From the simulation of space-time evolution of the vehicle headway, it is shown that the traffic jam is suppressed efficiently with taking into account the information about the motion of more vehicles in front, and the analytical result is consonant with the simulation one.