Car following model simulating traffic breakdown and concave growth pattern of oscillations in traffic flow
Zuojun Wang, Junfang Tian, Rui Jiang, Xiaopeng Li, and Shou Feng Ma

TL;DR
This paper introduces a novel car-following model that effectively simulates traffic breakdown, spontaneous jam formation, and the characteristic concave growth pattern of oscillations in traffic flow.
Contribution
It presents the first car-following model capable of fully depicting traffic breakdown, jam formation, and oscillation growth patterns based on speed-dependent space gaps and critical thresholds.
Findings
Successfully reproduces traffic breakdown and jam transitions
Captures the concave growth pattern of traffic oscillations
Provides insights into the mechanisms of traffic flow instability
Abstract
Traffic breakdown, as one of the most puzzling traffic flow phenomena, is characterized by sharply decreasing speed, abruptly increasing density and in particular suddenly plummeting capacity. In order to clarify its root mechanisms and model its observed properties, this paper proposes a car-following model based on the following assumptions: (i) There exists a preferred time-varied and speed-dependent space gap that cars hope to maintain; (ii) there exists a region R restricted by two critical space gaps and two critical speeds in the car following region on the speed-space gap diagram, in which cars' movements are determined by the weighted mean of the space- gap-determined acceleration and the speed-difference-determined acceleration; and (iii) out of region R, cars either accelerate to the free flow speed or decelerate to keep safety. Simulation results show that this model is able…
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Taxonomy
TopicsTraffic control and management · Transportation Planning and Optimization · Traffic Prediction and Management Techniques
