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.

城市公共交通系统城市公共交通的分析建模对于开发可提供增加流动性的可持续运输系统至关重要。研究计划的长期目标是找到计划，设计和运营城市公共交通的方法，以优化系统的总成本，包括乘客的时间成本和系统成本；从本质上讲，将服务水平与提供服务的成本保持平衡。我们使用分析方法对此类系统进行建模并优化，并在适当的情况下包括随机组件。该方法允许开发的方法应用于任何城市。该研究计划将包括对与公共交通相关的以下主题的调查：公交网络分析总线束；和实时运输旅行时间预测。 （a）我们调查了一条路线的最佳“时间点”和相关的时间表，这些时间表将使客户（例如延迟）和操作员（例如运营成本）（例如，运营成本）（例如，运营成本）的相关时间表。将研究巴士束以制定策略以最大程度地减少现象。 （b）可以利用新颖的位置（例如GPS）和通信（智能手机）技术，以为旅客提供对从任何公交车站（包括晚期和早期公共汽车）的公交车出发时间的实时估算。我们将研究从任何时间到任何公交车站的任何点进行估算和公开预测公交旅行时间的方法。 PARA-TRANSIT：在峰值时期内使用可变路线与时间表（Para-）过境是在加拿大提供可持续运输系统的策略。我们将调查社区适合Para-Transit服务的条件。我们将确定此类服务的参数，包括路由和调度算法，车辆组合，车队尺寸和车库位置。分析将包括与运输机构沟通用户的时间和其他成本。