Analytical Modeling of Urban Public Transit Systems

城市公共交通系统的分析建模

• 批准号: RGPIN-2015-06145
• 负责人: Wirasinghe, Sumedha
• 金额: $ 2.48万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=590872
• 关键词: Analytical; Modeling; Urban; Public; Transit

ANALYTICAL MODELING OF URBAN PUBLIC TRANSIT SYSTEMSUrban public transit is essential to develop a sustainable transportation system that can provide increased mobility. The long term goal of the research program is to find ways to plan, design and operate urban public transit to optimize the total cost of the system including passenger time costs and system costs; essentially balancing the level of service with the costs of providing that service. We model and optimize such systems using an analytical approach, and where appropriate, include stochastic components. The approach allows the methodology developed to be applied to any city. The research program will include investigation of the following themes related to public transit: Transit Network Analysis bus bunching; and real time transit travel time prediction. (a) We investigate the optimal number of `time-points' for a route and the associated schedule that will minimize the costs to the customers (e.g. delays) and operator (e.g. operating costs), for a typical route. Bus bunching will be studied to develop strategies to minimize the phenomenon. (b) Novel location (e.g. GPS) and communications (Smart phones) technologies can be exploited to provide travellers with real time estimates of bus departure times from any bus stop, including late and early buses. We will investigate the methods for estimating and publicly predicting bus travel time, from any point on the route to any bus stop, in real time. Para-transit: The use of variable route & schedule (para-) transit in off peak periods is a strategy for providing a sustainable transit system in Canada. We will investigate the conditions under which communities become suitable for para-transit service. We will determine the parameters of such services including the routing & scheduling algorithms, vehicle mix, fleet size, and garage locations. The time & other costs to users of communicating with the transit agency will be included in the analyses.

城市公共交通的分析模型城市公共交通是发展可持续的交通系统，可以提供更大的流动性。该研究计划的长期目标是找到规划、设计和运营城市公共交通的方法，以优化系统的总成本，包括乘客时间成本和系统成本;本质上平衡服务水平与提供该服务的成本。我们使用分析方法对这些系统进行建模和优化，并在适当的情况下，包括随机组件。该方法允许开发的方法适用于任何城市。该研究计划将包括以下主题的调查与公共交通：公交网络分析公交车群聚;和真实的时间公交出行时间预测。(a)我们调查的最佳数量的“时间点”的路线和相关的时间表，将最大限度地减少成本的客户（如延误）和运营商（如运营成本），对于一个典型的路线。将研究公共汽车拥挤问题，以制定战略，尽量减少这种现象。(b)可以利用新的定位（例如GPS）和通信（智能手机）技术，为旅行者提供从任何公共汽车站出发的公共汽车发车时间的真实的时间估计，包括晚班车和早班车。我们将研究估算和公开预测公交车行程时间的方法，从路线上的任何一点到任何公交车站，在真实的时间。过境运输：在非高峰期使用可变路线和时间表（帕拉）过境是在加拿大提供可持续过境系统的一项战略。我们将调查社区适合提供准公共交通服务的条件。我们将确定这些服务的参数，包括路由和调度算法，车辆组合，车队规模和车库位置。用户与过境机构沟通的时间和其他费用将列入分析。