Stabilization effect of traffic flow in an extended car-following model based on an intelligent transportation system application

2004 ◽  
Vol 70 (6) ◽  
Author(s):  
H. X. Ge ◽  
S. Q. Dai ◽  
L. Y. Dong ◽  
Y. Xue
Keyword(s):  
Traffic Flow ◽  
System Application ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Car Following ◽  
Model Based ◽  
Car Following Model ◽  
Stabilization Effect

Study on the integration effect of multiple vehicles’ delayed velocities on traffic stability in intelligent transportation system environment

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Geng Zhang ◽  
Qinglu Ma ◽  
Dongbo Pan ◽  
Yu Zhang ◽  
Qiaoli Huang ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Intelligent Transportation System ◽  
Research Result ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Content Type ◽  
Car Following ◽  
Car Following Model ◽  
Multiple Vehicles ◽  
Integration Effect

Purpose In an intelligent transportation system (for short, ITS) environment, a vehicle’s motion is affected by the information in a large scale. The purpose of this paper is to study the integration effect of multiple vehicles’ delayed velocities on traffic flow. Design/methodology/approach This paper constructed a new car-following model to study the integration effect of multiple vehicles’ delayed velocities on traffic flow. The new model is analyzed by linear and nonlinear perturbation method theoretically and also verified by simulation. Findings It is found out that the integration of preceding vehicles’ delayed velocities affect the stability of traffic flow importantly, and three preceding vehicles’ delayed velocities information should be considered in real traffic. Originality/value The new car-following model by considering the integration effect of multiple vehicles’ delayed velocities is firstly proposed in this paper. The research result shows that three preceding vehicles’ delayed velocities information is the best choice to stabilizing traffic flow.

A New Extended Multiple Car-Following Model Considering the Backward-Looking Effect on Traffic Flow

2012 ◽  
Vol 8 (1) ◽  
Author(s):  
Shuhong Yang ◽  
Weining Liu ◽  
Dihua Sun ◽  
Chungui Li
Keyword(s):  
Numerical Simulation ◽  
Traffic Flow ◽  
Linear Stability ◽  
Intelligent Transportation System ◽  
Rapid Development ◽  
Mkdv Equation ◽  
Linear Stability Theory ◽  
Automated Driving ◽  
Car Following ◽  
Car Following Model

To make full use of the newly available information provided by the intelligent transportation system (ITS), we presented a new car-following model applicable to automated driving control, which will be realized in the near future along with the rapid development of ITS. In this model, the backward-looking effect and the information inputs from multiple leading cars in traffic flow are considered at the same time. The linear stability criterion of this model is obtained using linear stability theory. Furthermore, the nonlinear analysis method is employed to derive the modified Korteweg-de Vries (mKdV) equation, whose kink-antikink soliton solution is then used to describe the occurrence of traffic jamming transitions. The numerical simulation of the presented model is carried out. Both the analytical analysis and numerical simulation show that the traffic jam is suppressed efficiently by just considering the information of two leading cars and a following one.

Sign in / Sign up

Export Citation Format

Share Document