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首页> 外文期刊>Journal of computational science >A computer simulation of traffic flow with on-street parking and drivers' behaviour based on cellular automata and a multi-agent system
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A computer simulation of traffic flow with on-street parking and drivers' behaviour based on cellular automata and a multi-agent system

机译：基于元胞自动机和多智能体系统的路旁停车和驾驶员行为交通流的计算机仿真

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摘要

Urban traffic is becoming more and more intensive, but the amount of space available for parking along city streets is not increasing at a rate commensurate with the rising number of new vehicles. This study looks at on-street/curb car parks, i.e., parking spaces located along streets or in one lane of a street. This article describes a simulation of the behaviour of various drivers in the process of on-street parking, and the impact of such parking on traffic flow, speed and travel time in the studied street fragment. This study is the first among other research studies on curb and on-street parking to consider driver behaviour such as patience, perceptivity and the use of indicators (turn signals). It also considers the impact of vacant parking-space marking. The study was performed on the basis of field research data. Drivers' behaviour was simulated in the form of agents' logic in a multi-agent system. The structure of the road, car park and vehicle traffic were reproduced on the basis of cellular automata, extending the known and proven Nagel-Schreckenberg, STCA, F-STCA and other models. Research results are helpful in teaching motorists how to park on-street or on the curb. Paying attention to the aspects of effective and streamlined parking may significantly improve traffic flow efficiency. (C) 2018 Elsevier B.V. All rights reserved.
机译：城市交通变得越来越密集，但是可用于沿着城市街道停车的空间的数量并没有以与新车辆数量的增加相对应的速度增加。这项研究着眼于路边/路边停车场，即沿街道或一条车道的停车位。本文描述了在路边停车过程中各种驾驶员行为的模拟，以及在研究的街道片段中这种停车对交通流量，速度和行驶时间的影响。这项研究是有关路边和路边停车的其他研究中的第一项研究，该研究考虑了驾驶员的行为，例如耐心，感知力和指示器（转向信号）的使用。它还考虑了空置停车位标记的影响。该研究是根据现场研究数据进行的。在多智能体系统中，以智能体逻辑的形式模拟了驾驶员的行为。道路的结构，停车场和车辆的交通是在细胞自动机的基础上重现的，扩展了已知和久经考验的Nagel-Schreckenberg，STCA，F-STCA等模型。研究结果有助于教导驾驶者如何在路边或路边停车。注意有效和简化停车的各个方面可以显着提高交通流效率。 （C）2018 Elsevier B.V.保留所有权利。

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