Abstract:SUMMARYTraffic congestion has been a growing issue in many metropolitan areas during recent years, which necessitates the identification of its key contributors and development of sustainable strategies to help decrease its adverse impacts on traffic networks. Road incidents generally and crashes specifically have been acknowledged as the cause of a large proportion of travel delays in urban areas and account for 25% to 60% of traffic congestion on motorways.Identifying the critical determinants of travel dela… Show more
“…While time-based models are not the most commonly used approaches to model the occurrence of crashes, continuoustime models are often used to predict the duration of crashes and the delay that crashes cause in traffic and congestion. While estimating traffic delay is crucial to the overall planning problem [54,55,56,57,58], it is outside the scope of this paper.…”
Section: A Approaches To Incident Predictionmentioning
Emergency response to incidents such as accidents and urban fires is one of the most pressing problems faced by communities across the globe. In the last fifty years, researchers have developed statistical, analytical, and algorithmic approaches for designing emergency response management (ERM) systems. In this survey, we present models for incident prediction, resource allocation, and dispatch concerning urban emergency incidents. We highlight the strengths and weaknesses of prior work in this domain and explore the similarities and differences between different incident types. Finally, we present future research directions. To the best of our knowledge, our work is the first comprehensive survey that explores the entirety of ERM systems.
“…While time-based models are not the most commonly used approaches to model the occurrence of crashes, continuoustime models are often used to predict the duration of crashes and the delay that crashes cause in traffic and congestion. While estimating traffic delay is crucial to the overall planning problem [54,55,56,57,58], it is outside the scope of this paper.…”
Section: A Approaches To Incident Predictionmentioning
Emergency response to incidents such as accidents and urban fires is one of the most pressing problems faced by communities across the globe. In the last fifty years, researchers have developed statistical, analytical, and algorithmic approaches for designing emergency response management (ERM) systems. In this survey, we present models for incident prediction, resource allocation, and dispatch concerning urban emergency incidents. We highlight the strengths and weaknesses of prior work in this domain and explore the similarities and differences between different incident types. Finally, we present future research directions. To the best of our knowledge, our work is the first comprehensive survey that explores the entirety of ERM systems.
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