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.

城市公共交通系统的分析模型城市公共交通对于开发可提供更多流动性的可持续交通系统至关重要。该研究项目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；本质上是平衡服务水平与提供该服务的成本。我们使用分析方法对此类系统进行建模和优化，并在适当的情况下包括随机成分。该方法允许开发的方法适用于任何城市。该研究计划将包括对以下与公共交通相关的主题的调查： 交通网络分析 公交车聚集；和实时交通旅行时间预测。 (a) 我们研究一条路线的最佳“时间点”数量以及相关的时间表，以最大限度地减少典型路线的客户（例如延误）和运营商（例如运营成本）的成本。我们将研究公交车聚集现象，以制定尽量减少这种现象的策略。 (b) 可以利用新颖的定位（例如 GPS）和通信（智能手机）技术为旅客提供任何公交车站的公交车发车时间的实时估计，包括晚点和早点的公交车。我们将研究实时估计和公开预测从路线上的任何点到任何公交车站的公交车行程时间的方法。辅助交通：在非高峰时段使用可变路线和时间表（辅助）交通是在加拿大提供可持续交通系统的一项策略。我们将调查社区适合辅助公交服务的条件。我们将确定此类服务的参数，包括路线和调度算法、车辆组合、车队规模和车库位置。用户与公交机构沟通的时间和其他成本将包含在分析中。