An Extended Car-Following Model With Consideration of the Driver's Memory and Control Strategy

2017 ◽  
Vol 20 (2) ◽  
pp. 689-696 ◽  
Author(s):  
Yi-ming Zheng ◽  
Rong-jun Cheng ◽  
Hong-xia Ge ◽  
Siu-ming Lo
Keyword(s):  
Control Strategy ◽  
Car Following ◽  
Car Following Model ◽  
And Control

Modeling and Control Using Connected and Automated Vehicles with Chained Asymmetric Driver Behavior under Stop-and-Go Oscillations

2020 ◽  
pp. 036119812096249
Author(s):  
Anupam Srivastava ◽  
Danjue Chen ◽  
Soyoung Ahn
Keyword(s):  
Order Effect ◽  
Behavior Model ◽  
Automated Vehicles ◽  
Empirical Observation ◽  
Modeling And Control ◽  
Car Following ◽  
Asymmetric Behavior ◽  
Stop And Go ◽  
Car Following Model ◽  
And Control

This paper presents a behavioral car following model, named the chained asymmetric behavior model, that improves on the asymmetric behavior model. This model is inspired by the empirical observation that vehicles react proportionately to the magnitude of disturbance experienced when traversing through a stop-and-go oscillation, deviating from a constant following behavior observed in equilibrium conditions. Findings from simulation experiments suggest that this “second-order” effect significantly affects traffic throughput and evolution under disturbances. Knowledge obtained from the model is leveraged toward designing control for connected automated vehicles in mixed traffic streams.

scholarly journals The Feedback Control Strategy of the Takagi-Sugeno Fuzzy Car-Following Model with Two Delays

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Cong Zhai ◽  
Weiming Liu ◽  
Ling Huang
Keyword(s):  
Feedback Control ◽  
Linear Matrix Inequality ◽  
Control Strategy ◽  
Traffic Congestion ◽  
Linear Matrix ◽  
Matrix Inequality ◽  
Car Following ◽  
Car Following Model ◽  
Two Delays ◽  
Feedback Control Strategy

Considering the driver’s sensing the headway and velocity the different time-varying delays exist, respectively, and the sensitivity of drivers changes with headway and speed. Introducing the fuzzy control theory, a new fuzzy car-following model with two delays is presented, and the feedback control strategy of the new fuzzy car-following model is studied. Based on the Lyapunov function theory and linear matrix inequality (LMI) approach, the sufficient condition that the existence of the fuzzy controller is given making the closed-loop system is asymptotic, stable; namely, traffic congestion phenomenon can effectively be suppressed, and the controller gain matrix can be obtained via solving linear matrix inequality. Finally, the simulation examples verify that the method which suppresses traffic congestion and reduces fuel consumption and exhaust emissions is effective.

Modified Couple Map Car-Following Model Based on Two Preceding Vehicles Information

2015 ◽  
Vol 738-739 ◽  
pp. 267-270
Author(s):  
Xiu Yun Li ◽  
Tong Zhou ◽  
Yan Jun Ren ◽  
Yu Xuan Li
Keyword(s):  
Control Theory ◽  
Control Strategy ◽  
New Model ◽  
Traffic Jam ◽  
Car Following ◽  
Model Based ◽  
Stable Conditions ◽  
Car Following Model ◽  
Simulation Results

Based on the pioneer work of Konishi et al, an improved coupled-map car-following model is proposed by considering the effect of information about two preceding vehicles to the considered one. The stable conditions under which the traffic jam can be suppressed are analyzed by applying control theory. The results are compared with that of Konishi et al. The simulation results show that the new model with the control strategy could suppress the traffic jam more effectively.

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