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首页> 外文期刊>Journal of Transportation Engineering >Examining Travel Time Reliability-Based Performance Indicators for Bus Routes Using GPS-Based Bus Trajectory Data in India
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Examining Travel Time Reliability-Based Performance Indicators for Bus Routes Using GPS-Based Bus Trajectory Data in India

机译：在印度使用基于GPS的公交轨迹数据检查公交路线的基于旅行时间可靠性的性能指标

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This paper aims to evaluate travel time variability as well as reliability indexes using global positioning systems (GPS)-based trajectory data of bus trips collected along a selected bus route of the city of Chennai in the southern part of India. Travel time reliability indexes, such as planning time index (PTI), buffer time index (BTI), and buffer time (BT), along with other statistical measures over different time periods are estimated. Generalized extreme value (GEV) distribution is found to be the best-fitted distribution for explaining bus travel time variability reasonably well, using the Kolmogorov-Smirnov (KS) test. Buffer time and 95th percentile travel time are the reliability measures with the most potential, the variation of which reasonably matches the variation in k-value (shape parameter of GEV distribution) over time. The findings from the statistical distribution analysis indicate that travel times during peak hours can be better described using normal distributions. The generic model is developed for predicting volumes based on bus journey speeds. Further, the developed model is validated with the help of travel time data of the same route during a different time period. The study also attempts to demonstrate a methodology for establishing level-of-service (LoS) criteria using reliability indicators. The classification of reliability indicators, considering segment-level travel time data, coefficient of variation (COV) of travel time, and volume-to-capacity ratio (V/C), is finally presented using the cluster technique. Finally, the study concludes that the most effective performance indicators for examining travel time variability on a given bus route are 95th percentile travel time and BT.
机译：本文旨在使用基于全球定位系统（GPS）的沿印度南部钦奈市选定公交路线收集的公交旅行轨迹数据来评估旅行时间变异性和可靠性指标。估计旅行时间可靠性指标，例如计划时间指标（PTI），缓冲时间指标（BTI）和缓冲时间（BT），以及不同时间段内的其他统计指标。使用Kolmogorov-Smirnov（KS）检验，发现广义极值（GEV）分布是最合理地解释公交车行驶时间变化的最合适分布。缓冲时间和第95个百分位行驶时间是最有潜力的可靠性指标，其变化随时间合理地匹配k值（GEV分布的形状参数）的变化。统计分布分析的结果表明，使用正态分布可以更好地描述高峰时段的旅行时间。开发了通用模型，用于根据公交车行驶速度预测交通量。此外，在不同时间段内，同一路线的行驶时间数据将对开发的模型进行验证。该研究还试图证明一种使用可靠性指标建立服务水平（LoS）标准的方法。最后，使用聚类技术提出了可靠性指标的分类，其中考虑了段级行程时间数据，行程时间的变异系数（COV）和容积容量比（V / C）。最后，研究得出结论，检查给定公交路线上旅行时间变异性的最有效的性能指标是95％的旅行时间和BT。

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