The relationship between ambient temperatures and road traffic injuries: a systematic review and meta-analysis
M Liang, M Min, X Guo, Q Song, H Wang, N Li… - … Science and Pollution …, 2022 - Springer
Traffic accidents cause considerable economic losses and injuries. Although the adverse
effects of a change in ambient temperatures on human health have been widely …
effects of a change in ambient temperatures on human health have been widely …
[HTML][HTML] Analysis and visualization of accidents severity based on LightGBM-TPE
K Li, H Xu, X Liu - Chaos, Solitons & Fractals, 2022 - Elsevier
In recent years, road traffic accidents, as a leading cause of accidental deaths, have been
attracting more and more attention across several disciplines. Notably, the feature study on …
attracting more and more attention across several disciplines. Notably, the feature study on …
Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections
Highlights•Conflict-based real-time safety performance functions are developed for
signalized intersections.•Several Tobit models including GRP-Tobit, RI-Tobit, and GRP-Tobit …
signalized intersections.•Several Tobit models including GRP-Tobit, RI-Tobit, and GRP-Tobit …
Road safety research in the context of low-and middle-income countries: Macro-scale literature analyses, trends, knowledge gaps and challenges
Road users in low-and middle-income countries (LMICs) are overrepresented in road
trauma statistics. Despite the relative success of many high-income countries (HICs) in …
trauma statistics. Despite the relative success of many high-income countries (HICs) in …
[HTML][HTML] The impact of roadway conditions towards accident severity on federal roads in Malaysia
The fatal accidents on the roads remain a global concern. Daily, approximately 18 traffic
accidents occur in the Peninsular Malaysia that cause on an average one death in every …
accidents occur in the Peninsular Malaysia that cause on an average one death in every …
[HTML][HTML] Predicting and analyzing road traffic injury severity using boosting-based ensemble learning models with SHAPley Additive exPlanations
Road traffic accidents are one of the world's most serious problems, as they result in
numerous fatalities and injuries, as well as economic losses each year. Assessing the …
numerous fatalities and injuries, as well as economic losses each year. Assessing the …
Impact of real-time weather conditions on crash injury severity in Kentucky using the correlated random parameters logit model with heterogeneity in means
The present study investigated the impact of real-time weather (air temperature, relative
humidity, precipitation, wind speed, and solar radiation) on crash injury severity. Recent …
humidity, precipitation, wind speed, and solar radiation) on crash injury severity. Recent …
[HTML][HTML] Investigating in-vehicle distracting activities and crash risks for young drivers using structural equation modeling
Distracted driving has been considered one of the main reasons for traffic crashes in recent
times, especially among young drivers. The objectives of this study were to identify the …
times, especially among young drivers. The objectives of this study were to identify the …
Statistical analysis of vehicle-vehicle conflicts with a LIDAR sensor in a signalized intersection.
A Ansariyar, A Taherpour - Advances in transportation …, 2023 - search.ebscohost.com
LIDAR sensor is capable of recording traffic data including the number of passing vehicles,
pedestrians, and bicyclists, the speed of vehicles, and the number of conflicts among …
pedestrians, and bicyclists, the speed of vehicles, and the number of conflicts among …
Spatiotemporal analysis of crash severity on rural highway: A case study in Anhui, China
Traffic crashes are the result of the interaction between human activities and different socio-
economic, geographical, and environmental factors, showing a temporal and spatial …
economic, geographical, and environmental factors, showing a temporal and spatial …