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 …

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 …

Machine learning techniques for road traffic automatic incident detection systems: A review

S Hireche, A Dennai - Smart Energy Empowerment in Smart and Resilient …, 2020 - Springer
Recently, non-recurrent congestion caused by road traffic incidents has become a critical
concern of road Traffic Management System (TMS). However, incidents can't be predicted …

Real-time traffic incident detection with classification methods

L Li, J Zhang, Y Zheng, B Ran - … of the 7th International Conference on …, 2018 - Springer
It is well known that traffic incident detection is essential to intelligent transportation system
(ITS) and modern traffic management. Compared to traditional models based on traffic …

A review of artificial intelligence techniques used for urban automatic incident detection systems

H Samia, D Abdeslem - Proceedings of the 2020 9th International …, 2020 - dl.acm.org
Over the past decades, tremendous research efforts have been proposed to deploy
Automatic Incident Detection Systems (AIDSs) onto urban roads. As a result, new challenges …

Toward training-free automatic detection of freeway incidents: Simple algorithm with one parameter

MM Castro-Neto, LD Han, YS Jeong… - Transportation …, 2012 - journals.sagepub.com
Automatic incident detection (AID) on freeways has been investigated extensively in the past
four decades. Various algorithms covering a broad range of types in regard to complexity …

Comparison and analysis tool for automatic incident detection

R Browne, S Foo, S Huynh… - Transportation …, 2005 - journals.sagepub.com
A new test bed for automatic incident detection (AID) systems uses real-time traffic video and
data feeds from the Ontario, Canada, Ministry of Transportation COMPASS advanced traffic …

Automated traffic incident detection: Coping with imbalanced and small datasets

T Xie, Q Shang, Y Yu - IEEE Access, 2022 - ieeexplore.ieee.org
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 …

An efficient traffic incident detection and classification framework by leveraging the efficacy of model stacking

Z Iqbal, MI Khan, S Hussain, A Habib - Complexity, 2021 - Wiley Online Library
Automatic incident detection (AID) plays a vital role among all the safety‐critical applications
under the parasol of Intelligent Transportation Systems (ITSs) to provide timely information to …

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 …