Advanced urban public transportation system for Indian scenarios

Pruthvish Rajput, Manish Chaturvedi, Pankesh Patel
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引用次数: 11

Abstract

This article presents a part of the work being carried out under the Department of Science & Technology (DST)-funded project, titled Advanced Urban Public Transportation System. The solutions designed for real-time tracking of metro buses in urban areas of India, detecting bus-stops automatically, and predicting the arrival time of buses accurately are elaborated. The proposed system addresses the challenges related to GPS outage, unknown schedule and stoppages of buses, and unavailability of real time traffic information along the bus-route. The system is evaluated using multiple-trip data collected over a 32 kilometer long route during the peak and off-peak hour traffic conditions. The bus-stop detection accuracy of 75% (6 out of 8 bus-stops are accurately detected) could be achieved using an arbitrary set of trips conducted over the route. The arrival time prediction error of 7% (5 minutes) has been reported. The scalability assessment of the system shows that it can support the transit of more than ten thousand buses and over one million subscribers/commuters.
印度场景的先进城市公共交通系统
本文介绍了在科技部(DST)资助的项目“先进城市公共交通系统”下正在进行的部分工作。详细阐述了印度城市地铁公交实时跟踪、自动检测公交站点、准确预测公交到达时间的解决方案。所提出的系统解决了GPS中断、公交车时刻表和停运未知以及公交路线上的实时交通信息不可用等问题。该系统使用高峰和非高峰时段交通状况下在32公里长的路线上收集的多次行程数据进行评估。通过在路线上进行任意一组行程,可以实现75%的公交站点检测精度(8个公交站点中有6个被准确检测到)。有报道称到达时间预测误差为7%(5分钟)。系统的可扩展性评估表明,该系统可支持1万多辆公交车和超过100万的用户/通勤者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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