原文传递
Utilizing Low-Ping Frequency Vehicle Trajectory Data to Characterize Delay at Traffic Signals
| 题名： | Utilizing Low-Ping Frequency Vehicle Trajectory Data to Characterize Delay at Traffic Signals |
| 正文语种： | 英文 |
| 作者： | Jonathan M. Waddell;Stephen M. Remias;Jenna N. Kirsch;Ted Trepanier |
| 作者单位： | Dept, of Civil and Environmental Engineering, Wayne State Univ;Senior Director, Public Sector Services |
| 摘要： | Probe vehicle data is changing the landscape of transportation engineering. The availability of vehicle trajectory data, or GPS waypoint data, has expanded the utility of probe data. However, the low penetration rate of vehicles prevents signal-performance assessment during short-term or low-volume periods, such as special events, seasonal traffic patterns, and overnight timing plans. Current research has used high-ping frequency data or the temporal distributions of waypoints of less than 2 s. This paper evaluates different approaches for using low-ping frequency data to measure delays at signalized intersections. The results of statistical testing show that 30- and 60-s ping data provide delay values that are not significantly different from 1-s ping data. These sampling frequencies increase the number of observable trajectories by 700%. This data allows for scalable approaches to immediately measure delays at signalized intersections nationwide in the US, thereby reducing costly infrastructure needed for signalized performance measures. |
| 出版日期： | 2020.01 |
| 出版年： | 2020 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | Vol.146 |
| 期： | No.08 |
| 页码： | 04020069 |
相关文献
- A Car-Following Model Considering Driver's Instantaneous Reaction Delay in Nonlane-Based Traffic Environments
- Characterizing Traffic-Signal Performance and Corridor Reliability Using Crowd-Sourced Probe Vehicle Trajectories
- Trajectory-Based Signal Control in Mixed Connected Vehicle Environments
- Reexamining Pedestrian Crossing Warrants based on Vehicular Delay at Urban Arterial Midblock Sections under Mixed Traffic Conditions
- Vehicle trajectory extraction at the exit areas of urban freeways based on a novel composite algorithms framework
- Quantitative Analysis of Smooth Progression in Traffic Signal Systems
检索历史
应用推荐
