A microscopic traffic flow model for sharing information from a vehicle to vehicle by considering system time delay effect
A microscopic traffic flow model for sharing information from a vehicle to vehicle by considering system time delay effect
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DOI：
10.1016/j.physa.2021.126437
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发表时间：
2021-09-21
影响因子：
3.3
通讯作者：
Tanimoto, Jun
中科院分区：
文献类型：
--
作者：
Hossain, Md Anowar;Tanimoto, Jun
在这项研究中，我们提出了一种信息共享交通流模型，该模型考虑了多辆先行车和系统时延效应，以重现无线通信智能交通系统传播的更可能的流场。如果每辆车的动力学信息能够在没有时间延迟的情况下共享，那么流场将是稳健稳定和高效的。然而，由于机械和控制系统的原因，现实情况不可避免地会导致一些时间延迟。通过线性稳定性理论，在中性稳定性条件下对该模型进行了验证，从而证实了该模型与传统的全速差分模型(最优速度模型)相比，大大提高了交通流场的稳定性。推导了修正的Korteweg-de Vries方程，并对其进行了非线性分析。文中还进行了数值模拟，验证了该模型的正确性。(C)2021年爱思唯尔B.V.保留所有权利。
In this study, we propose an information-sharing traffic flow model by considering multiple preceding cars and system time delay effect to reproduce a more likely flow field given the dissemination of intelligent transportation systems with wireless communication. The flow field would be robustly stable and efficient if the information on each vehicle's dynamics could be shared without time delay. However, a realistic situation inevitably entails some time delay, resulting from mechanical and control systems. The proposed model is validated by the neutral stability condition through linear stability theory, thus confirming that the proposed model substantially increases the stability of a traffic flow field compared with the conventional full velocity difference model (optimal velocity model). The modified Korteweg-de Vries equation is derived and analyzed for nonlinear analysis. A numerical simulation is also conducted to justify the proposed model. (C) 2021 Elsevier B.V. All rights reserved.