Development of a traffic incident model involving multiple municipalities for inclusion in large microscopic evacuation simulations
Sign Up to like & getrecommendations! Published in 2017 at "International journal of disaster risk reduction"
DOI: 10.1016/j.ijdrr.2017.12.010
Abstract: Abstract Evacuating citizens might have to cross multiple regions to reach safety and, as such, evacuation models may need to include geographical areas that cross municipal boundaries. If the modeler is fortunate, the data required… read more here.
Keywords: traffic; traffic incident; model; evacuation ... See more keywords
Traffic Incident Detection Method Based on Factor Analysis and Weighted Random Forest
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3023961
Abstract: Timely and accurate detection of traffic incidents can effectively reduce personal casualties and property losses, and improve the ability of macro-control and scientific decision-making of traffic. The unbalance of traffic incident data has a great… read more here.
Keywords: classification; traffic; analysis; traffic incident ... See more keywords
Automated Traffic Incident Detection: Coping with Imbalanced and Small Datasets
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3161835
Abstract: Automatic incident detection (AID) has always been one of the focus issues in the field of transportation. However, due to the contingency and randomness of traffic incident, traffic incident samples are scarce and far less… read more here.
Keywords: incident detection; incident; traffic; model ... See more keywords
A Deep Cycle Limit Learning Machine Method for Urban Expressway Traffic Incident Detection
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/5965089
Abstract: In Beijing, Shanghai, Hangzhou, and other cities in China, traffic congestion caused by traffic incidents also accounts for 50% to 75% of the total traffic congestion on expressways. Therefore, it is of great significance to… read more here.
Keywords: traffic; detection; traffic incident; learning machine ... See more keywords
Application of the Bayesian Model Averaging in Analyzing Freeway Traffic Incident Clearance Time for Emergency Management
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Advanced Transportation"
DOI: 10.1155/2021/6671983
Abstract: Identifying the influential factors in incident duration is important for traffic management agency to mitigate the impact of traffic incidents on freeway operation. Previous studies have proposed a variety of approaches to determine the significant… read more here.
Keywords: traffic; model; traffic incident; clearance time ... See more keywords
Research on Urban Traffic Incident Detection Based on Vehicle Cameras
Sign Up to like & getrecommendations! Published in 2022 at "Future Internet"
DOI: 10.3390/fi14080227
Abstract: Situational detection in the traffic system is of great significance to traffic management and even urban management. Traditional detection methods are generally based on roadside equipment monitoring roads, and it is difficult to support large-scale… read more here.
Keywords: incident detection; vehicle cameras; traffic; detection ... See more keywords