Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review

J Tang, L Zheng, C Han, W Yin, Y Zhang, Y Zou… - Analytic methods in …, 2020 - Elsevier
Accurate clearance time prediction for road incident would be helpful to evaluate the
incident impacting range and provide route guiding strategy according to the predicted …

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 …

Real-time traffic accidents post-impact prediction: Based on crowdsourcing data

Y Lin, R Li - Accident Analysis & Prevention, 2020 - Elsevier
Traffic accident management is a critical issue for advanced intelligent traffic management.
The increasingly abundant crowdsourcing data and floating car data provide new support for …

Incident duration prediction using a bi-level machine learning framework with outlier removal and intra–extra joint optimisation

A Grigorev, AS Mihaita, S Lee, F Chen - Transportation research part C …, 2022 - Elsevier
Predicting the duration of traffic incidents is a challenging task due to the stochastic nature of
events. The ability to accurately predict how long accidents will last can provide significant …

Application of the bayesian model averaging in analyzing freeway traffic incident clearance time for emergency management

Y Zou, B Lin, X Yang, L Wu… - Journal of advanced …, 2021 - Wiley Online Library
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 …

Exploration of road closure time characteristics of tunnel traffic accidents: A case study in Pennsylvania, USA

Q Luo, C Liu - Tunnelling and Underground Space Technology, 2023 - Elsevier
With the increase of roadway tunnels, tunnel traffic accidents are also increasing. Compared
with open roadways, road closures caused by traffic accidents in the tunnel have greater …

Developing a data analytics platform to support decision making in emergency and security management

CJ Pérez-González, M Colebrook… - Expert Systems with …, 2019 - Elsevier
Abstract The Emergency and Security Coordinating Centre is the public service responsible
for managing all the incidents registered in the Canary Islands. More than 7 million records …

Modeling spatiotemporal heterogeneity in interval-censored traffic incident time to normal flow by leveraging crowdsourced data: A geographically and temporally …

Y Gu, H Zhang, LD Han, A Khattak - Accident Analysis & Prevention, 2024 - Elsevier
Non-recurrent traffic congestion arising from traffic incidents is unpredictable but should be
addressed efficiently to mitigate its adverse impacts on safety and travel time reliability …

A Hybrid Method for Traffic Incident Duration Prediction Using BOA‐Optimized Random Forest Combined with Neighborhood Components Analysis

Q Shang, D Tan, S Gao, L Feng - Journal of Advanced …, 2019 - Wiley Online Library
Predicting traffic incident duration is important for effective and real‐time traffic incident
management (TIM), which helps to minimize traffic congestion, environmental pollution, and …

Prediction of traffic incident duration using clustering-based ensemble learning method

H Zhao, W Gunardi, Y Liu, C Kiew… - … engineering, Part A …, 2022 - ascelibrary.org
Traffic incidents are a primary cause of traffic delays, which can cause severe economic
losses. Effective traffic incident management requires integrating intelligent traffic systems …