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Simulation approach for an integrated decision support system for demand responsive transport planning and operation

机译:用于需求响应型运输计划和运营的集成决策支持系统的仿真方法

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摘要

Rural areas are becoming more desert from day to day, leading to complex dispersed and scarce demand patterns for public transport. As a consequence, conventional transport services are becoming less frequent, reducing levels of service (e.g., low occupancy rates, usage of old vehicles). With rigid predefined routes and schedules, they are inappropriate to operate in such environments.Demand Responsive Transport (DRT) systems have been seen as an interesting alternative solution, providing flexible transport services to meet trip requests. This solution has already been adopted in several countries as a way to increase user’s mobility and mitigate social exclusion. There are however some issues concerning DRT scheme design and evaluation requiring further developments. Namely, there is still a lack of adequate tools to support some of the strategic and tactic level decisions that must be made at the design phase.In this research, we propose an Integrated Decision Support System (IDSS) and general action methodology that will allow achieving better planning decisions and allowing the evaluation of alternative scheme designs prior to its implementation. The IDSS and methodology are based on an event-driven simulation framework which emulates real-world customers’ behavior and vehicles movements. The paper will concentrate its analysis on this framework. An illustrative numerical experiment is presented and briefly discussed.
机译:农村地区每天变得越来越荒漠,导致复杂的分散和稀缺的公共交通需求模式。结果,常规运输服务变得越来越不频繁,降低了服务水平(例如,低占用率,旧车辆的使用)。由于具有严格的预定义路线和时间表,它们不适用于此类环境。需求响应运输(DRT)系统被视为一种有趣的替代解决方案,可提供灵活的运输服务来满足旅行要求。此解决方案已在多个国家/地区采用,以提高用户的流动性并减轻社会排斥。但是,有关DRT方案设计和评估的一些问题需要进一步发展。也就是说,仍然缺乏足够的工具来支持必须在设计阶段做出的一些战略和战术级别的决策。在这项研究中,我们提出了一种综合决策支持系统(IDSS)和一般行动方法,该方法可以实现更好的计划决策,并允许在实施替代方案之前对其进行评估。 IDSS和方法基于事件驱动的模拟框架,该框架可模拟现实世界中客户的行为和车辆移动。本文将把分析重点放在这个框架上。介绍并简要讨论了一个说明性的数值实验。

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