Combined effects of drivers’ disturbance risk preference heterogeneity and the nearest following vehicle headway on traffic flow instability: Analytical studies

2020 ◽  
Vol 545 ◽  
pp. 123685
Author(s):  
Youzhi Zeng ◽  
Bin Ran ◽  
Ning Zhang ◽  
Xiaobao Yang ◽  
Jia-Jun Shen ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Flow Instability ◽  
Risk Preference ◽  
Preference Heterogeneity ◽  
Combined Effects ◽  
Analytical Studies

New full velocity difference model considering the driver’s heterogeneity of the disturbance risk preference for car-following theory

2016 ◽  
Vol 30 (01) ◽  
pp. 1550241 ◽  
Author(s):  
You-Zhi Zeng ◽  
Ning Zhang
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Flow Instability ◽  
Risk Preference ◽  
Difference Model ◽  
Velocity Difference ◽  
Absolute Size ◽  
Car Following ◽  
Preceding Vehicle ◽  
Preference Coefficient

This paper proposes a new full velocity difference model considering the driver’s heterogeneity of the disturbance risk preference for car-following theory to investigate the effects of the driver’s heterogeneity of the disturbance risk preference on traffic flow instability when the driver reacts to the relative velocity. We obtain traffic flow instability condition and the calculation method of the unstable region headway range and the probability of traffic congestion caused by a small disturbance. The analysis shows that has important effects the driver’s heterogeneity of the disturbance risk preference on traffic flow instability: (1) traffic flow instability is independent of the absolute size of the driver’s disturbance risk preference coefficient and depends on the ratio of the preceding vehicle driver’s disturbance risk preference coefficient to the following vehicle driver’s disturbance risk preference coefficient; (2) the smaller the ratio of the preceding vehicle driver’s disturbance risk preference coefficient to the following vehicle driver’s disturbance risk preference coefficient, the smaller traffic flow instability and vice versa. It provides some viable ideas to suppress traffic congestion.

Experimental and empirical investigations of traffic flow instability

2018 ◽  
Vol 94 ◽  
pp. 83-98 ◽  
Author(s):  
Rui Jiang ◽  
Cheng-Jie Jin ◽  
H.M. Zhang ◽  
Yong-Xian Huang ◽  
Jun-Fang Tian ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Flow Instability ◽  
Empirical Investigations

scholarly journals Experimental and Empirical Investigations of Traffic Flow Instability

2017 ◽  
Vol 23 ◽  
pp. 157-173 ◽  
Author(s):  
Rui Jiang ◽  
Cheng-Jie Jin ◽  
H.M. Zhang ◽  
Yong-Xian Huang ◽  
Jun-Fang Tian ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Flow Instability ◽  
Empirical Investigations
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