A macro traffic flow model with headway variation tendency and bounded rationality

被引:2
|
作者
Zhai, Cong [1 ]
Wu, Weitiao [2 ]
机构
[1] Foshan Univ, Sch Transportat & Civil Engn & Architecture, Foshan 528000, Guangdong, Peoples R China
[2] South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510641, Guangdong, Peoples R China
来源
MODERN PHYSICS LETTERS B | 2021年 / 35卷 / 02期
基金
美国国家科学基金会;
关键词
Continuum model; headway variation tendency; bounded rationality; stability; KdV-Burgers equation; MODIFIED CONTINUUM MODEL; KDV-BURGERS EQUATION; BACKLUND TRANSFORMATION; DRIVERS CHARACTERISTICS; VEHICLE OVERTAKING; KINEMATIC WAVES; SHOCK-WAVES; MEMORY; DYNAMICS; BEHAVIOR;
D O I
10.1142/S0217984921500548
中图分类号
O59 [应用物理学];
学科分类号
摘要
The rapid adoption of sensor technology has upgraded the vehicular communication capacity, which enables the drivers to predict the traffic state (e.g. headway variation tendency (HVT)) based on the current traffic information. Meanwhile, in practice, the drivers would exhibit bounded rationality behavior in that they often perceive and respond to acceleration/deceleration only when the headway variation exceeds a certain threshold. The collective effect may greatly affect the driving behavior and traffic flow performance. In this study, we innovatively model the traffic flow macroscopically considering HVT and bounded rationality effect in the context of continuum model. Based on the linear stability theory, the stability condition of the above model is obtained. The KdV-Burgers equation of the model is derived to describe traffic jam propagation mechanism near the neutral stability line by applying the reductive perturbation method in nonlinear stability analysis. Results show that the HVT and bounded rationality behavior have a great impact on the traffic congestion and energy consumption.
引用
收藏
页数:15
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