This paper introduces a novel transit data analytics platform for public transit planning, assessing service quality and revealing service problems in high spatiotemporal resolution for public transit systems based on Automatic Passenger Counting (APC) and Automatic Vehicle Location (AVL) technologies. The platform offers a systematic way for users and decision makers to understand system performance from many aspects of service quality, including passenger waiting time, stop-skipping frequency, bus bunching level, bus travel time, on-time performance, and bus fullness. The AVL-APC data from September 2012 to March 2016 were archived in a database to support the development of a user-friendly web application that allows both users and managers to interactively query bus performance metrics for any bus routes, stops, or trips for any time period. This paper demonstrates a case study using the platform to examine bus bunching in a transit system operated by the Port Authority of Allegheny County (PAAC) in Pittsburgh. It is found that the incidence of bus bunching is heavily impacted by the location on the route as well as the time of day, and the bunching problem is more severe for bus routes operating in mixed traffic than for bus rapid transit, which operates along a dedicated busway. Furthermore, a second case study is presented with a comprehensive analysis on a representative route in Pittsburgh under schedule changes. Suggestions for operation of this route to improve service quality are proposed based on the data analytics results.

中文翻译：

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使用AVL-APC数据了解公交系统性能：匹兹堡地区案例分析平台

本文介绍了一种新颖的公交数据分析平台，用于基于自动乘客计数（APC）和自动车辆定位（AVL）技术的公共交通系统规划，评估服务质量并以高时空分辨率揭示服务问题。该平台为用户和决策者提供了一种从服务质量的许多方面了解系统性能的系统方式，包括乘客等待时间，停跳频率，公交集束水平，公交出行时间，准时性能和公交充实度。2012年9月至2016年3月的AVL-APC数据已存储在数据库中，以支持开发用户友好的Web应用程序，该应用程序允许用户和管理人员以交互方式查询任何公交路线，站点或行程的公交性能指标时间段。本文演示了一个案例研究，使用该平台检查了匹兹堡阿勒格尼县港口管理局（PAAC）运营的公交系统中的公交车聚束情况。结果发现，公交路线的位置和一天中的时间会严重影响公交路线的聚集，与公交快速公交系统相比，公交线路在混合交通中的公交问题更严重。专用公交专用道。此外，还提供了第二个案例研究，其中对时间表变更下的匹兹堡代表性路线进行了全面分析。根据数据分析结果，提出了此路线的操作建议以提高服务质量。