A stochastic model for stop-and-go phenomenon in traffic oscillation: on the prospective of macro and micro traffic flow

DOI10.1016/j.amc.2022.127637OpenAlexW4307906694MaRDI QIDQ2101920

Min Dai, Chao-Zhong Wu, Xin-ping Xiao, Jianghui Wen, Lijiang Hong

Publication date: 7 December 2022

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2022.127637

zbMATH Keywords

sensitivitycar-followingstop-and-gooscillation upper boundstochastic driver's behavior

Mathematics Subject Classification ID

Operations research and management science (90Bxx) General theory for ordinary differential equations (34Axx) Statistical mechanics, structure of matter (82-XX)

Related Items (2)

Risky driving behavior propagation: a novel stochastic SIR model and two-stage risk quantification method ⋮ Analysis and simulation of vehicle following behavior with consideration of multiple time delays

Cites Work

• Congestion phenomenon analysis and delayed-feedback control in a modified coupled map traffic flow model containing the velocity difference
• A new car-following model with the consideration of anticipation optimal velocity
• Environmental Brownian noise suppresses explosions in population dynamics.
• Full velocity difference and acceleration model for a car-following theory
• A novel car-following inertia gray model and its application in forecasting short-term traffic flow
• Impact of leading speed pattern on oscillation evolution in stochastic linear car-following models
• New feedback control strategy for optimal velocity traffic model
• An extended heterogeneous car-following model with the consideration of the drivers' different psychological headways
• Stop-and-go suppression in two-class congested traffic
• Car-Following Theory of Steady-State Traffic Flow

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