流量(计算机网络)
正确性
交通波
理论(学习稳定性)
流量(数学)
运动(物理)
机械
非线性系统
计算机科学
模拟
数学
控制理论(社会学)
物理
经典力学
控制(管理)
工程类
交通拥挤
运输工程
算法
基于Kerner三相理论的交通拥堵重构
机器学习
人工智能
量子力学
计算机安全
作者
Rongjun Cheng,Shihao Li,Hongxia Ge
标识
DOI:10.1142/s0217984921502389
摘要
In reality, the types of vehicles running on the road and the driving experience of different drivers are probably different. Thus, the maximum velocity of each vehicle is usually different. Moreover, common driving experience indicates that drivers not only pay attention to the motion status of individual preceding vehicle in their view. With that in mind, an extended car-following model accounting for two preceding vehicles with mixed maximum velocity is constructed in this study. For analyzing the traffic flow’s evolution more accurately, theoretical and numerical analyses are conducted. In theoretical analysis, the model’s stability condition is inferred by using the control theory, and the mKdV equation is also derived to depict the propagation of traffic density wave by means of nonlinear analysis. Numerical experiments are performed to verify the correctness of theoretical analysis and to make a detailed analysis concerning the influences of factors considered on traffic flow. Theoretical and experimental results indicate that increasing the higher maximum velocity and the appearing probability of a car having higher maximum velocity is not conducive to traffic flow stability, and compared to only considering individual preceding vehicle’s motion status, it is obvious that the traffic flow with mixed maximum velocity is more stable when two preceding vehicles’ motion status is considered.
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