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arXiv · 1811.00492

A model for traffic flow encoding hysteresis

Andrea Corli·Haitao Fan
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Abstract

A simple macroscopic model for the vehicular traffic flow with hysteresis is proposed. The model includes drivers' hysteresis behavior into the classical Lighthill-Whitham-Richard (LWR) model. One novelty of the model is how the hysteresis is modeled based on hysteresis behavior reported in literature. By comparing wave patterns producible by the classical LWR model versus this model, the effect of hysteresis can be revealed. For this purpose, wave pattern analysis is carried out by construction of viscous waves and Riemann solvers of the model. Examples of solutions for initial data corresponding to some real world setups or experimental observations are constructed. Many of them qualitatively agree with experimental observations and intuition. These result shows that the model not only keeps the successful part of the LWR model, but also demonstrates many wave patterns observed real world traffic that LWR fails to exhibit, such as stop-and-go waves and many other traffic patterns. A mechanism for formation and decay of stop-and-go patterns and traffic jams is revealed. Furthermore, acceleration shocks in congested zone are predicted, which can serve as fronts of stop-and-go patterns.

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Andrea Corli, Haitao Fan. 2018-11-01. A model for traffic flow encoding hysteresis. https://arxiv.org/abs/1811.00492

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