A macroscopic traffic flow model considering driver memory effect on curves
Year: 2025
Type: article
Abstract: In real-world driving environments, curved roads are a common scenario that drivers must consider. Driver behavior is also a key factor in the study of traffic systems. This study investigates how factors such as curvature radius and friction coefficient affect the stability of a memory-dependent vehicle-following model under curved road conditions. First, stability criteria for the model are derived using control theory. Subsequently, equilibrium solutions are obtained through bifurcation analysis from a nonlinear perspective. Numerical simulations demonstrate that the model effectively captures system dynamics on curved roads. The incorporation of driver memory effects adversely impacts system stability, and similar destabilizing trends emerge with increasing curvature radius and friction coefficient. Furthermore, numerical solutions exhibit strong consistency with analytical results.
Source: Results in Physics
Authors: Yang Chunfeng, Yang Chenxiao, Zhang Yu, Qi Linyuan, Shi Longyu, Tan Lixiang, Tang Qiang
Institutions: Northwest Normal University, Lanzhou University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,920
OpenAlex ID: W4412053428