Accurately modelling crashes, and predicting crash occurrence and associated severities are a prerequisite for devising countermeasures and developing effective road safety …
Y Zhang, Y Chen, X Gu, NN Sze, J Huang - Accident Analysis & Prevention, 2023 - Elsevier
Driving style may have an important effect on traffic safety. Proactive crash risk prediction for lane-changing behaviors incorporating individual driving styles can help drivers make safe …
Crash severity is undoubtedly a fundamental aspect of a crash event. Although machine learning algorithms for predicting crash severity have recently gained interest by the …
Abstract In recent years, Intelligent Transportation Systems (ITS) have seen efficient and faster development by implementing deep learning techniques in problem domains which …
Motorcycles and motorcyclists have a variety of attributes that have been found to be a potential contributor to the high liability of vulnerable road users (VRUs). Vulnerable Road …
Road crashes cost over a million lives each year. Consequently, researchers and transport engineers continue their efforts to improve road safety and minimize road crashes. With the …
F Basso, R Pezoa, M Varas, M Villalobos - Accident Analysis & Prevention, 2021 - Elsevier
In road safety, real-time crash prediction may play a crucial role in preventing such traffic events. However, much of the research in this line generally uses data aggregated every five …
Traffic accidents are one of the most important concerns of the world, since they result in numerous casualties, injuries, and fatalities each year, as well as significant economic …
C Yuan, Y Li, H Huang, S Wang, Z Sun… - Accident Analysis & …, 2022 - Elsevier
Due to the difficulty of obtaining traffic flow data and conflicts simultaneously, conflict-based analysis using macroscopic traffic features is much less studied. This research aims to …