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Using Real-Time Data to Detect Delays and Improve Customer Communications at New York City Transit
Transportation Research Record: Journal of the Transportation Research Board ( IF 1.6 ) Pub Date : 2021-02-17 , DOI: 10.1177/0361198121994115
Adam Caspari 1 , Daniel Wood 1 , Angel Campbell 1 , Darian Jefferson 1 , Tuan Huynh 1 , Alla Reddy 1
Affiliation  

New York City Transit operates one of the world’s largest transit systems, and it can be difficult for the agency’s communications team to keep track of the numerous service disruptions that need to be communicated to customers. This paper introduces the Transit Visualization tool, which processes real-time train location data to automatically identify areas of the system where service may not be living up to customers’ expectations. Specifically, the Transit Visualization is set up to identify areas of the system where trains are operating at lower-than-normal speeds and areas of the system where there are atypically long gaps between trains. Any occurrence of slow speeds or long gaps is assigned a severity level (Moderate, Severe, or Very Severe) to indicate the magnitude of the problem. An overview of any problems the application identifies is shown on an interactive web map, as well as on several easy-to-digest summary tables. The map also displays real-time locations of trains and buses throughout the transit system. The Transit Visualization has been successfully rolled out to the subways communications team and has become a mission-critical tool for communicating delays to customers, especially during the course of the COVID-19 pandemic.



中文翻译:

使用实时数据检测延误并改善纽约市公交的客户沟通

纽约公交系统(New York City Transit)是世界上最大的公交系统之一,该机构的沟通团队可能很难跟踪需要传达给客户的众多服务中断情况。本文介绍了过境可视化工具,该工具可处理实时的火车位置数据,以自动识别系统中服务可能无法满足客户期望的区域。具体而言,“运输可视化”设置用于识别列车以低于正常速度运行的系统区域以及列车之间的间隙通常不长的系统区域。任何出现的慢速或长差距都会被指定严重级别(中等,严重或非常严重),以指示问题的严重性。该应用程序识别出的所有问题的概述都显示在交互式Web地图以及几个易于理解的摘要表上。该地图还显示整个运输系统中火车和公共汽车的实时位置。Transit Visualization已成功地推广到地铁通信团队,并已成为向客户传达延误的关键任务工具,尤其是在COVID-19大流行期间。

更新日期:2021-02-18
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