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Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective
IEEE Transactions on Knowledge and Data Engineering, 2022Traffic accident has become a significant health and development threat with rapid urbanizations. An accurate urban accident forecasting enables higher-quality police force pre-allocation and safe route planning for both traffic administrations and ...
Zhengyang Zhou +4 more
semanticscholar +1 more source
Can Eyes on a Car Reduce Traffic Accidents?
UI, 2022Various car manufacturers and researchers have explored the idea of adding eyes to a car as an additional communication modality. A previous study demonstrated that autonomous vehicles’ (AVs) eyes help pedestrians make faster street-crossing decisions ...
Chia-Ming Chang +4 more
semanticscholar +1 more source
TAD: A Large-Scale Benchmark for Traffic Accidents Detection From Video Surveillance
IEEE Access, 2022Automatic traffic accident detection has attracted the attention of the machine vision community for the rapid development of autonomous intelligent transportation systems (ITS).
Yajun Xu +3 more
semanticscholar +1 more source
Road traffic accidents in Italy during COVID-19
Traffic Injury Prevention, 2022Objective To assess changes in the number and severity of road traffic accidents in Italy in 2020, in particular after the beginning of COVID-19 and during the lockdown, as compared with 2019, with monthly details and geographical variations within the ...
F. Valent
semanticscholar +1 more source
1980
A comparison of accidents during daylight and darkness was made for both rural and urban roads. Accident rates on all types of rural roads were higher during darkness than during daylight. Critical accident rates during darkness for various types of roads were calculated. In urban areas, a larger percentage of accidents occurred on wet pavements during
Herd, Donald R. +2 more
openaire +2 more sources
A comparison of accidents during daylight and darkness was made for both rural and urban roads. Accident rates on all types of rural roads were higher during darkness than during daylight. Critical accident rates during darkness for various types of roads were calculated. In urban areas, a larger percentage of accidents occurred on wet pavements during
Herd, Donald R. +2 more
openaire +2 more sources
Journal of Intelligent Transportation Systems / Taylor & Francis, 2019
With the development of urbanization, road congestion has become increasingly serious, and an important cause is the traffic accidents. In this article, we aim to predict the duration of traffic accidents given a set of historical records and the feature
Li Kuang +4 more
semanticscholar +1 more source
With the development of urbanization, road congestion has become increasingly serious, and an important cause is the traffic accidents. In this article, we aim to predict the duration of traffic accidents given a set of historical records and the feature
Li Kuang +4 more
semanticscholar +1 more source