Leveraging vehicle-based speed data in monitoring roadway safety

Flavius Matata , Francisca Kasubi , Albert Mwauzi , Priyanka Alluri
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Abstract

In developing countries like Tanzania, bus transportation is vital, yet it is challenged by speed-related crashes. To improve safety, the government deployed Vehicle Tracking Systems (VTS), though their data is often underutilized. This study evaluates VTS trajectory data to enhance inter-regional bus safety by examining speed violations across different locations and times of day. Two case studies were analyzed: a 19.2 km section of Morogoro Road and the Dar es Salaam to Mwanza intercity bus route. Using second-to-second trajectory data from ten buses, the study compared desired and actual speeds to identify violations. Results indicate that speed violations based on location are independent of time of day, whereas violations are more frequent at night on the intercity route. The findings suggest that speed enforcement can be improved by targeting nighttime violations and areas without traffic police. Immediate detection and response to incidents are also possible, thereby enhancing overall road safety.
利用车辆速度数据监测道路安全
在坦桑尼亚等发展中国家,公共汽车交通至关重要,但它受到与速度有关的撞车事故的挑战。为了提高安全性,政府部署了车辆跟踪系统(VTS),尽管它们的数据往往没有得到充分利用。本研究评估了VTS轨迹数据,通过检查不同地点和时间的速度违规行为来提高区域间巴士的安全性。分析了两个案例研究:莫罗戈罗公路19.2公里路段和达累斯萨拉姆至姆万扎城际巴士路线。该研究利用10辆公交车的秒对秒轨迹数据,比较了期望速度和实际速度,以识别违规行为。结果表明,基于地点的车速违规行为与白天的时间无关,而城际路线上的车速违规行为在夜间更为频繁。研究结果表明,可以通过针对夜间违规和没有交警的地区来改善超速执法。还可以立即发现和应对事故,从而提高整体道路安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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