Integrated Performance Measures for Bus Rapid Transit System and Traffic Signal Systems Using Trajectory Data

Abstract

Bus rapid transit (BRT) systems have been implemented in many cities over the past two decades. Widespread adoption of General Transit Feed Specification (GTFS), the deployment of high-fidelity bus GPS data tracking, and anonymized high-fidelity connected vehicle data from private vehicles have provided new opportunities for performance measures that can be used by both transit agencies and traffic signal system operators. This paper describes the use of trajectory-based data to develop performance measures for a BRT system in Indianapolis, Indiana. Over 3 million data records during the 3-month period between March and May 2022 are analyzed to develop visualizations and performance metrics. A methodology to estimate the average delay and schedule adherence is presented along a route comprised of 74 signals and 28 bus stations. Additionally, this research demonstrates how these performance measures can be used to evaluate dedicated and non-dedicated bus lanes with general traffic. Travel times and reliability of buses are compared with nearly 30 million private vehicle trips. Results show that median travel time for buses on dedicated bi-directional lanes is within one minute of general traffic and during peak periods the buses are often faster. Schedule adherence was observed to be more challenging, with approximately 3% of buses arriving within 1 minute on average during the 5AM hour and 5% of buses arriving 6 - 9 minutes late during the 5PM hour. The framework and performance measures presented in this research provide agencies and transportation professionals with tools to identify opportunities for adjustments and to justify investment decisions.

Key Words: Connected Vehicle Trajectory, Bus Rapid Transit, Performance, Traffic Signal Retiming, Schedules

基于轨道数据的快速公交系统和交通信号系统的综合性能评估

摘要

二十年来，许多城市都采用了快速公交（BRT）系统。推广通用运输反馈规程（GTFS）、对高保真公交全球定位系统进行数据跟踪部署，匿名高保真车辆数据与私家车相连，这些都为性能评估提供了新的可能性，既适用于运输机构，也适用于交通信号系统运营商。本文阐释轨道数据的应用方法，并以此对印第安纳州印第安纳波利斯的快速公交系统进行了性能评估。在2022年3月至5月的3个月期间，我们分析了超过300万份数据记录，以此开发可视化和性能指标。本文提出了一种方法来估计一条路线的平均延误和调度依从性，这条路线由74个信号和28个公交车站组成。此外，本研究还展示了如何使用这些性能指标来评估具有一般交通流量的专用和非专用公交车道，并将公共汽车的出行时间和可靠性与近3000万次私家车出行进行了比较。结果表明，在双向专用车道上的公共汽车行驶时间中值与一般交通时间相差不超过1分钟，在高峰时段，公共汽车通常更快。我们观察到，遵守时间调度更具挑战，早上5点时，大约3%的公交车平均1分钟内到达，而下午5点时，5%的公交车晚到了6 ~ 9分钟。本研究提出的框架和绩效指标为机构和交通专业人士提供了工具，以甄别调整机会，并证明投资决策的合理性。

关键词:联网车辆轨迹，快速公交，性能，交通信号时间调整，时刻表

来源： Journal of Transportation Technologies

检索：蒲婷

翻译：颜彬彬

一审：宋仪欢

二审：彭莉

三审：罗玲娟

上传发布：姜浩