An agent-based approach to modelling driver route choice behaviour under the influence of real-time information
An agent-based approach to modelling driver route choice behaviour under the influence of real-time information
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DOI：
10.1016/s0968-090x(02)00025-6
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发表时间：
2002-10-01
影响因子：
8.3
通讯作者：
Dia, H
中科院分区：
文献类型：
--
作者：
Dia, H
本文提出了一种基于代理的方法来模拟实时交通信息的影响下，个别司机的行为。在这项研究中开发的驾驶员行为模型是基于一个拥挤的通勤走廊在澳大利亚布里斯班，进行了驾驶员的行为调查。分析了通勤者对出行信息的反应，并开发了一些离散选择模型，以确定影响驾驶员行为的因素及其改变路线和调整出行模式的倾向。基于从行为调查中获得的结果，确定了定义驾驶员特征、知识和偏好的代理行为参数，并确定了它们的值。一个案例研究实现一个简单的基于代理的路径选择决策模型内的微观交通仿真工具。驾驶员-车辆单元（DVU）被建模为自主软件组件，每个组件都可以被分配一组要实现的目标和一个知识数据库，包括有关驾驶任务的某些信念，意图和偏好。每个DVU提供路线选择决策能力，基于其环境的感知，类似于它所代表的驾驶员的描述意图。案例研究清楚地表明了该方法的可行性和潜力，以开发更复杂的驾驶员行为动力学的基础上的信念-愿望-意图代理架构。(C)2002爱思唯尔科技有限公司。保留所有权利。
This paper presents an agent-based approach to modelling individual driver behaviour under the influence of real-time traffic information. The driver behaviour models developed in this study are based on a behavioural survey of drivers which was conducted on a congested commuting corridor in Brisbane, Australia. Commuters' responses to travel information were analysed and a number of discrete choice models were developed to determine the factors influencing drivers' behaviour and their propensity to change route and adjust travel patterns. Based on the results obtained from the behavioural survey, the agent behaviour parameters which define driver characteristics, knowledge and preferences were identified and their values determined. A case study implementing a simple agent-based route choice decision model within a microscopic traffic simulation tool is also presented. Driver-vehicle units (DVUs) were modelled as autonomous software components that can each be assigned a set of goals to achieve and a database of knowledge comprising certain beliefs, intentions and preferences concerning the driving task. Each DVU provided route choice decision-making capabilities, based on perception of its environment, that were similar to the described intentions of the driver it represented. The case study clearly demonstrated the feasibility of the approach and the potential to develop more complex driver behavioural dynamics based on the belief-desire-intention agent architecture. (C) 2002 Elsevier Science Ltd. All rights reserved.