Smart Work Zone Control and Performance Evaluation Based on Trajectory Data
项目名称: Smart Work Zone Control and Performance Evaluation Based on Trajectory Data
摘要: The number of fatalities due to work zone crashes has increased 42% from 2013 to 2019. Also, approximately 24% of non-recurring congestion is attributed to work zones. Given the aging infrastructure in the U.S. and the recent $1.2 trillion infrastructure bill, it is anticipated that there will be more work zones in the coming years. How to improve work zone traffic safety and operations will become an increasingly important issue. Many strategies can potentially affect work zone safety and traffic operations, including taper length and rumble strips. The performance of these strategies is often evaluated based on traffic throughput, speed, etc. measured at selected locations. Such metrics do not provide sufficient detail regarding individual drivers’ speed choice and lane-changing behavior over the course of the entire work zone, which are critical for understanding work zone safety and traffic operations under different traffic, control, and layout conditions. The proposed research aims to (1) develop methods to extract vehicle trajectories; (2) use the trajectories to analyze driver behavior, particularly lane-changing behavior under different traffic conditions; (3) use the trajectories to quantify the effects of various merging taper lengths and rumble strip configurations on vehicle speed and lane-changing behavior; and (4) use the analysis results to identify safety hazards and opportunities to improve work zone safety and operations.
状态: Active
资助组织: Federal Highway Administration
管理组织: Massachusetts Department of Transportation
主要研究人员: Xie, Yuanchang;Chen, Danjue;Liu, Benyuan
开始时间: 20220301
预计完成日期: 20230801
主题领域: Construction;Highways;Operations and Traffic Management;Safety and Human Factors
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