Extracting driving volatility from connected vehicle data in exploring Space-Time relationships with crashes in the city of Saint Louis
Extracting driving volatility from connected vehicle data in exploring Space-Time relationships with crashes in the city of Saint Louis
复制标题
DOI：
10.1016/j.trip.2024.101051
复制
发表时间：
2024-03
影响因子：
--
通讯作者：
Abdul Rashid Mussah;Y. Adu-Gyamfi
中科院分区：
文献类型：
--
作者：
Abdul Rashid Mussah;Y. Adu-Gyamfi
在特定地区内，对影响道路碰撞发生的因素进行分析历来依赖于对有形基础设施、历史碰撞频率、环境因素和驾驶员特征的评估。多年来，人们已经达成共识，认为人为因素，特别是驾驶行为，占我们道路上撞车事故的大多数。随着近几年互联车辆数据的出现，分析真实的驾驶行为的能力已经成为安全分析师的一种可能。驾驶波动性已经成为驾驶行为和安全指标的重要代表。在这项研究中，驾驶波动性和历史崩溃热点之间的空间关系的证据被发现。利用基于熵的分析，这项研究发现，一般强有力的积极的空间关系的位置之间的波动性驾驶事件和历史的碰撞，与R 2值范围从0.015至0.970和0.612的硬加速，和0.048至0.996和0.678的硬减速的平均值。包括时间背景提出的见解，显示的关系是显着的超过60%的覆盖区域通常在上午7点至下午7点之间的时间，与平均R 2值为0.594的硬加速，和0.629的硬减速。
The analysis of factors that influence the occurrence of roadway crashes within a specified locality have historically been reliant on the assessment of physical infrastructure, historical crash frequency, environmental factors and driver characteristics. The consensus over the years has been drawn to the idea that human factors, specifically regarding driving behaviors, account for the majority of crash outcomes on our roadways. With the emergence of connected vehicle data in the last few years, the capacity to analyze real time driving behavior has become a possibility for safety analysts. Driving volatility has emerged as a valuable proxy for driving behavior and indicator of safety. In this study, evidence of the spatial relationship between driving volatility and historical crash hotspots is uncovered. Utilizing an entropy-based analysis, this study discovered generally strong positive spatial relationships between locations of volatile driving events and historical crashes, with R 2 values ranging from 0.015 to 0.970 and a mean of 0.612 for hard accelerations, and 0.048 to 0.996 and a mean of 0.678 for hard decelerations. Including temporal context presented insights showing that the relationships are significant for over 60% of the coverage area usually between the hours of 7 am to 7 pm, with average R 2 values of 0.594 for hard accelerations, and 0.629 for hard decelerations.