Congestion phenomenon analysis and delayed-feedback control in a modified coupled map traffic flow model containing the velocity difference

2015 ◽  
Vol 23 (1-3) ◽  
pp. 175-184 ◽  
Author(s):  
Ya-Ling Fang ◽  
Zhong-Ke Shi ◽  
Jin-Liang Cao
Keyword(s):  
Feedback Control ◽  
Traffic Flow ◽  
Flow Model ◽  
Delayed Feedback ◽  
Delayed Feedback Control ◽  
Velocity Difference ◽  
Traffic Flow Model

scholarly journals Self-Delayed Feedback Based Car Following Control With Velocity Uncertainty of Preceding Vehicle On Gradient Roads

2021 ◽  
Author(s):  
Cong Zhai ◽  
Weitiao Wu
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Flow Model ◽  
Transfer Functions ◽  
Delayed Feedback ◽  
Time Step ◽  
Current Time ◽  
Traffic Flow Model ◽  
Car Following ◽  
V2v Communication

Abstract Uphill and downhill roads are prevalent in mountainous areas and freeways. Despite the advancement of vehicle-to-vehicle (V2V) communication technology, the driving field of vision is still largely limited under such a complex road environment, which hinders the sensors accurately perceiving the speed of the front vehicle. As such, a fundamental question for autonomous traffic management is how to control traffic flow associated with the velocity uncertainty of preceding vehicles? This paper seeks to develop a controlling framework for corporative car following control under such complex road environment. To this end, we first propose a traffic flow model accounting for the uncertainty effect of preceding vehicles velocity on gradient road. We further design a new self-delayed feedback controller based on the velocity and headway difference between the current time step and historical time step, in an aim to enhance the robustness of traffic flow. The sufficient condition where traffic jam does not occur is derived from the perspective of the frequency domain via Hurwitz criteria H∞ and norm of transfer functions. The bode diagram reveals that the robustness of closed-loop traffic flow model has been significantly enhanced. We also conduct simulations to verify the theoretical analysis.

scholarly journals Effects of Car Accidents on Three-Lane Traffic Flow

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Jianzhong Chen ◽  
Zhiyuan Peng ◽  
Yuan Fang
Keyword(s):  
Numerical Simulations ◽  
Traffic Flow ◽  
Flow Model ◽  
Velocity Difference ◽  
Lane Changing ◽  
Traffic Flow Model ◽  
Traffic Jams ◽  
Car Accidents ◽  
Time Space ◽  
Car Accident

A three-lane traffic flow model is proposed to investigate the effect of car accidents on the traffic flow. The model is an extension of the full velocity difference (FVD) model by taking into account the lane changing. The extended lane-changing rules are presented to model the lane-changing behaviour. The cases that the car accidents occupy the exterior or interior lane, the medium lane, and two lanes are studied by numerical simulations. The time-space diagrams and the current diagrams are presented, and the traffic jams are investigated. The results show that the car accident has a different effect on the traffic flow when it occupies different lanes. The car accidents have a more serious effect on the whole road when they occupy two lanes. The larger the density is, the greater the influence on the traffic flow becomes.

scholarly journals Lane-Changing Feedback Control for Efficient Lane Assignment at Motorway Bottlenecks

2017 ◽  
Vol 2625 (1) ◽  
pp. 20-31 ◽  
Author(s):  
Claudio Roncoli ◽  
Nikolaos Bekiaris-Liberis ◽  
Markos Papageorgiou
Keyword(s):  
Feedback Control ◽  
Traffic Flow ◽  
Control Strategy ◽  
Communication Systems ◽  
Flow Model ◽  
Total Density ◽  
Linear Quadratic ◽  
Optimal Control Strategy ◽  
Lane Changing ◽  
Traffic Flow Model

A feedback control strategy is proposed for lane assignment at bottleneck locations. The strategy assumes that some vehicles equipped with vehicle automation and communication systems are capable of receiving and executing specific lane-changing orders or recommendations. From a previously proposed optimal control strategy based on a simplified multilane motorway traffic flow model and formulated as a linear quadratic regulator, a feedback control problem was designed. The aim was to maximize the throughput at bottleneck locations while distributing the total density at the bottleneck area over the lanes according to a given policy by optimal lane assignment of the vehicles upstream of the bottleneck. The feedback control decisions were based on real-time measurements of the traffic state and inflow. The proposed strategy was tested on a nonlinear first-order macroscopic multilane traffic flow model, which also accounted for the capacity drop phenomenon.

Study on Discrete Autonomous Traffic Flow Model with Zero-Order Hold

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Lidong Zhang ◽  
Wenxing Zhu ◽  
Mengmeng Zhang ◽  
Cuijiao Chen
Keyword(s):  
Traffic Flow ◽  
Flow Model ◽  
Zero Order ◽  
Traffic Flow Model
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