期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 509, 期 -, 页码 1-11出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.physa.2018.05.086
关键词
Social forces; Disordered traffic; Self-driven particles; Two-dimensional traffic flow; Autonomous vehicles; Bike traffic
资金
- fellowship of the Alexander von Humboldt Research Foundation, Germany at the Technical University of Dresden, Germany
Vehicles in developing countries have widely varying dimensions and speeds, and drivers tend to not follow lane discipline. In this flow state called mixed traffic, the interactions between drivers and the resulting maneuvers resemble more that of general disordered self-driven particle systems than that of the orderly lane-based traffic flow of industrialized countries. We propose a general multi particle model for such self-driven high-speed particles and show that it reproduces the observed characteristics of mixed traffic. The main idea is to generalize a conventional acceleration-based car-following model to a two-dimensional force field. For in-line following, the model reverts to the underlying car following model, for very slow speeds, it reverts to an anisotropic social-force model for pedestrians. With additional floor fields at the position of lane markings, the model reverts to an integrated car-following and lane-changing model with continuous lateral dynamics including cooperative aspects such as zip merging. With an adaptive cruise control (ACC) system as underlying car-following model, it becomes a controller for the acceleration and steering of autonomous vehicles in mixed or lane-based traffic. (C) 2018 Elsevier B.V. All rights reserved.
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