Nonlinear analysis of the car-following model considering headway changes with memory and backward looking effect-Reference-Cited by-同舟云学术

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Nonlinear analysis of the car-following model considering headway changes with memory and backward looking effect

Published:2021-01 Issue: Volume:562 Page:125303
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Ma Guangyi,Ma Minghui^ORCID,Liang Shidong,Wang Yansong,Guo Hui

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Technical Service Platform for Vibration and Noise Testing and Control of New Energy Vehicles

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference38 articles.

1. Traffic and related self-driven many-particle systems;Helbing;Phys.,2000

2. A unified framework for vehicle rerouting and traffic light control to reduce traffic congestion;Cao;IEEE Trans. Intell. Transp. Syst.,2017

3. An extended car-following model considering driver’s sensory memory and the backward looking effect;Chen;Physica A,2019

4. Energy consumption investigation for a new car-following model considering driver’s memory and average speed of the vehicles;Jin;Physica A,2018

5. Car-following model with relative-velocity effect and its experimental verification;Shamoto;Phys. Rev. E,2011

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1. Analysis and control of saddle-node bifurcation based on continuum model with headway fluctuation;Chinese Journal of Physics;2024-08

2. Bistability and the emergence of oscillation in a multiple-loop traffic network;Nonlinear Dynamics;2024-07-29

3. Time to Equilibrium in a Car-Following Scenario under Local Stable Conditions;Transportation Research Record: Journal of the Transportation Research Board;2024-07-26

4. Tipping points, multistability, and stochasticity in a two-dimensional traffic network dynamics;Chaos: An Interdisciplinary Journal of Nonlinear Science;2024-07-01

5. Phase diagram in multi-phase heterogeneous traffic flow model integrating the perceptual range difference under human-driven and connected vehicles environment;Chaos, Solitons & Fractals;2024-05

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