A systematic review of traffic incident detection algorithms
O ElSahly, A Abdelfatah - Sustainability, 2022 - mdpi.com
Traffic incidents have negative impacts on traffic flow and the gross domestic product of most
countries. In addition, they may result in fatalities and injuries. Thus, efficient incident …
countries. In addition, they may result in fatalities and injuries. Thus, efficient incident …
[HTML][HTML] Spatio-temporal clustering for non-recurrent traffic congestion detection on urban road networks
Abstract Non-Recurrent Congestion events (NRCs) frustrate commuters, companies and
traffic operators because they cause unexpected delays. Most existing studies consider …
traffic operators because they cause unexpected delays. Most existing studies consider …
[图书][B] Car accident detection and notification system using smartphone
HM Ali, ZS Alwan - 2017 - researchgate.net
Abstract------Every day around the world, a large percentage of people die from traffic
accident injuries. An effective approach for reducing traffic fatalities is: first building …
accident injuries. An effective approach for reducing traffic fatalities is: first building …
Real-time highway traffic condition assessment framework using vehicle–infrastructure integration (VII) with artificial intelligence (AI)
This paper presents a framework for real-time highway traffic condition assessment using
vehicle kinetic information, which is likely to be made available from vehicle-infrastructure …
vehicle kinetic information, which is likely to be made available from vehicle-infrastructure …
Traffic management center use of incident detection algorithms: Findings of a nationwide survey
BM Williams, A Guin - IEEE Transactions on intelligent …, 2007 - ieeexplore.ieee.org
The focus of this paper is the context in which the decision makers for traffic management
centers (TMCs) choose whether to include and/or use automatic incident detection (AID) …
centers (TMCs) choose whether to include and/or use automatic incident detection (AID) …
An incident detection model using random forest classifier
O ElSahly, A Abdelfatah - Smart Cities, 2023 - mdpi.com
Traffic incidents have adverse effects on traffic operations, safety, and the economy. Efficient
Automatic Incident Detection (AID) systems are crucial for timely and accurate incident …
Automatic Incident Detection (AID) systems are crucial for timely and accurate incident …
A data-centric weak supervised learning for highway traffic incident detection
Using the data from loop detector sensors for near-real-time detection of traffic incidents on
highways is crucial to averting major traffic congestion. While recent supervised machine …
highways is crucial to averting major traffic congestion. While recent supervised machine …
Developing a real-time freeway incident detection model using machine learning techniques
M Motamed - 2016 - repositories.lib.utexas.edu
Real-time incident detection on freeways plays an important part in any modern traffic
management operation by maximizing road system performance. The US Department of …
management operation by maximizing road system performance. The US Department of …
Real-time traffic incident detection using an autoencoder model
Traffic flow data collected by loop detectors have been widely used for traffic incident
detection. As traffic flow data have strong spatial-temporal correlations, this study tries to …
detection. As traffic flow data have strong spatial-temporal correlations, this study tries to …
A novel support vector machine model of traffic state identification of urban expressway integrating parallel genetic and C-means clustering algorithm
L Zhang, J Ma, X Liu, M Zhang, X Duan, Z Wang - Tehnički vjesnik, 2022 - hrcak.srce.hr
Sažetak The real-time discrimination of urban expressway traffic state is an important
reference for traffic management departments to make decisions. In this paper, a parallel …
reference for traffic management departments to make decisions. In this paper, a parallel …