Modelling lane changing and merging in microscopic traffic simulation
Modelling lane changing and merging in microscopic traffic simulation
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DOI：
10.1016/s0968-090x(02)00026-8
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发表时间：
2002-10-01
影响因子：
8.3
通讯作者：
Hidas, P
中科院分区：
文献类型：
--
作者：
Hidas, P
本文介绍了智能 TRansport 系统仿真 (SITRAS)，这是一个大型多智能体仿真系统，其中驾驶员车辆对象被建模为自主智能体。仿真输出可用于评估智能交通系统应用，例如拥堵和事故管理、公共交通优先级和动态路线引导。之前的出版物中描述了模型的概念和规范，以及该模型在城市干线网络事件建模领域的首次应用。本文详细介绍了为 SITRAS 模型开发的车道变换和合并算法。这些模型包含“强制”和“合作”变道程序，这对于在拥堵（和受事故影响）的交通条件下变道至关重要。本文描述了算法并提供了仿真示例来演示所实现模型的效果。结果表明，只有强制和协作换道模型才能在拥堵条件下产生真实的车流-速度关系。 (C) 2002 Elsevier Science Ltd. 保留所有权利。
This paper introduces Simulation of Intelligent TRAnsport Systems (SITRAS), a massive multi-agent simulation system in which driver-vehicle objects are modelled as autonomous agents. The simulation outputs can be used for the evaluation of Intelligent Transport Systems applications such as congestion and incident management, public transport priority and dynamic route guidance. The model concepts and specifications, and the first applications of the model in the area of incident modelling in urban arterial networks were described in previous publications. This paper presents the details of the lane changing and merging algorithms developed for the SITRAS model. These models incorporate procedures for 'forced' and 'co-operative' lane changing which are essential for lane changing under congested (and incident-affected) traffic conditions. The paper describes the algorithms and presents simulation examples to demonstrate the effects of the implemented models. The results indicate that,only the forced and cooperative lane changing models can produce realistic flow-speed relationships during congested conditions. (C) 2002 Elsevier Science Ltd. All rights reserved.