原文传递
Examining Travel Time Reliability-Based Performance Indicators for Bus Routes Using GPS-Based Bus Trajectory Data in India
| 题名： | Examining Travel Time Reliability-Based Performance Indicators for Bus Routes Using GPS-Based Bus Trajectory Data in India |
| 其他题名： | Arasan,V.T.,and Vedagiri,P.(2012).Planning for priority for public transport:Providing exclusive bus lanes on roads carrying heterogeneous traffic,LAP Lambert Academic Publishing,Saarbrücken,Germany. |
| 正文语种： | 英文 |
| 作者： | Akhilesh Chepuri |
| 关键词： | Travel time reliability;Buffer time index (BTI);Generalized extreme value (GEV) distribution;Clustering;Silhouette |
| 摘要： | 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. |
| 出版年： | 2018 |
| 论文唯一标识： | P-72Y2018V144N05005 |
| 英文栏目名称： | TECHNICAL PAPERS |
| doi： | 10.1061/JTEPBS.0000109 |
| 期刊名称： | Journal of Transportation Engineering |
| 拼音刊名(出版物代码)： | P-72 |
| 卷： | 144 |
| 期： | 05 |
| 页码： | 26-39 |
相关文献
- Characterizing Traffic-Signal Performance and Corridor Reliability Using Crowd-Sourced Probe Vehicle Trajectories
- Travel-Time Variability Analysis of Bus Rapid Transit System Using GPS Data
- Mapping of bus travel time to traffic stream travel time using econometric modeling
- Improved Dynamic Time Warping Algorithm for Bus Route Trajectory Curve Fitting
- Modeling and Prediction of Bus Operation States for Bunching Analysis
- Reliability-Based Performance Indicators for Structural Members
检索历史
应用推荐
