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一种新交通流跟驰模型的相变研究
引用本文:李莉,施鹏飞.一种新交通流跟驰模型的相变研究[J].中国物理 B,2005,14(3):576-582.
作者姓名:李莉  施鹏飞
作者单位:Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China
基金项目:Project supported by the State Key Development Programme for Basic Research of China (Grant No G1998030408).
摘    要:本文通过数值仿真的方法研究了优化速度跟驰模型(OVM)描述由一辆预先给定速度曲线的头车运动而引起的车辆队列加速过程的性能,结果显示该模型在描述这一过程时具有某种缺陷。据此文章提出了一个新的模型,能够改进OVM的这一不足。对改进模型的线性稳定性分析表明:若稳定性条件不能满足,则随着初始均衡交通流车头间距的变化将会产生交通流的相变现象。

关 键 词:跟驰模型  线性稳定  相变
收稿时间:2004-10-20

Phase transitions in a new car-following traffic flow model
Li Li and Shi Peng-Fei.Phase transitions in a new car-following traffic flow model[J].Chinese Physics B,2005,14(3):576-582.
Authors:Li Li and Shi Peng-Fei
Institution:Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China
Abstract:In this paper, we investigate the performance of the well-known optimal velocity car-following model (the OVM) with numerical simulation in describing the acceleration process that is induced by the motion of a leading car with a pre-specified speed profile. Results show that this model is to some extent deficient in performing this process. Modification of the OVM to overcome the deficiency is demonstrated. The linear stability for the modified model is analysed. If the linear stability condition can not be satisfied, phase transitions occur on varying the initial homogeneous headway of the traffic flow.
Keywords:car-following models  linear stability  phase transitions
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