Phenomenological Study of Dynamical Model of Traffic Flow

Bando, Masako; Hasebe, Katsuya; Nakanishi, Ken; Nakayama, Akihiro; Shibata, Akihiro; Sugiyama, Y?ki · 1995 · OpenAlex-citations

DOI: 10.1051/jp1:1995206

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Summary

This paper introduces and validates the "Optimal Velocity Model," a microscopic dynamical model designed to explain the spontaneous transition between free-flow and congested traffic states. The authors address a limitation in traditional Car Following Models, which typically rely on first-order differential equations and fail to reproduce the observed discontinuity (or "wedge") in flow-density and velocity-density graphs. By treating traffic congestion as a phase transition arising from the collective motion of vehicles obeying a unified second-order dynamical equation, the model aims to provide a coherent explanation for both low-density free flow and high-density congested flow. The model posits that each driver adjusts acceleration to maintain an "optimal velocity" determined by the headway distance to the preceding vehicle. This relationship is defined by a continuous tanh-type function, avoiding artificial discontinuities. The authors analyze the stability of homogeneous flow solutions, identifying a specific region where the flow becomes unstable, leading to the spontaneous generation of congestion. Numerical simulations of 200 vehicles on a circular track demonstrate that small initial disturbances evolve into stable "hysteresis loops" in the phase space, representing limit cycles where vehicles oscillate between free and congested states. To validate the model phenomenologically, the authors calibrate its parameters using empirical data from car-following experiments on the Chuo Motorway conducted by the Koshi group. They fit the Optimal Velocity function to observed velocity-clearance data, identifying key parameters such as maximum velocity (115 km/h) and the inflection point corresponding to the unstable region (20 m clearance, 55 km/h). The study then applies these calibrated parameters to simulate traffic flow and compares the resulting theoretical flow-density (Q-k) and velocity-density curves with accumulated observational data from the Japan Highway Public Corporation. The results show that the Optimal Velocity Model successfully reproduces the characteristic features of observed traffic data, including the distinct wedge shape at the critical density. The model explains the discontinuity between free and congested flows not as separate regimes requiring different formulas, but as a natural consequence of the instability in the homogeneous solution. This work establishes that macroscopic traffic phenomena, such as the sharp transition at critical density, can be derived from microscopic driver behavior governed by a single, continuous dynamical law, offering a unified framework for understanding traffic flow dynamics.

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