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Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review
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 …
incident impacting range and provide route guiding strategy according to the predicted …
Overview of traffic incident duration analysis and prediction
Introduction Non-recurrent congestion caused by traffic incident is difficult to predict but
should be dealt with in a timely and effective manner to reduce its influence on road capacity …
should be dealt with in a timely and effective manner to reduce its influence on road capacity …
Prioritizing influential factors for freeway incident clearance time prediction using the gradient boosting decision trees method
Identifying and quantifying the influential factors on incident clearance time can benefit
incident management for accident causal analysis and prediction, and consequently …
incident management for accident causal analysis and prediction, and consequently …
An exploratory hazard-based analysis of highway incident duration
D Nam, F Mannering - Transportation Research Part A: Policy and Practice, 2000 - Elsevier
The statistical analysis of highway incident duration has become an increasingly import
research topic due to the impact that highway incidents (vehicle accidents and …
research topic due to the impact that highway incidents (vehicle accidents and …
Hazard based models for freeway traffic incident duration
AT Hojati, L Ferreira, S Washington… - Accident Analysis & …, 2013 - Elsevier
Assessing and prioritising cost-effective strategies to mitigate the impacts of traffic incidents
and accidents on non-recurrent congestion on major roads represents a significant …
and accidents on non-recurrent congestion on major roads represents a significant …
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
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 …
The increasingly abundant crowdsourcing data and floating car data provide new support for …
Estimating magnitude and duration of incident delays
Traffic congestion is a major operational problem on urban freeways. In the case of recurring
congestion, travelers can plan their trips according to the expected occurrence and severity …
congestion, travelers can plan their trips according to the expected occurrence and severity …
Development of an accident duration prediction model on the Korean Freeway Systems
Y Chung - Accident Analysis & Prevention, 2010 - Elsevier
Since duration prediction is one of the most important steps in an accident management
process, there have been several approaches developed for modeling accident duration …
process, there have been several approaches developed for modeling accident duration …
The impact of adverse weather conditions on the propensity to change travel decisions: a survey of Brussels commuters
New developments in transportation systems and the increasing complexities of urban living
are creating challenges and opportunities to comprehensively address transportation …
are creating challenges and opportunities to comprehensively address transportation …
Predicting duration of traffic accidents based on cost-sensitive Bayesian network and weighted K-nearest neighbor
L Kuang, H Yan, Y Zhu, S Tu, X Fan - Journal of Intelligent …, 2019 - Taylor & Francis
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 …
and an important cause is the traffic accidents. In this article, we aim to predict the duration of …