A review of incident prediction, resource allocation, and dispatch models for emergency management
In the last fifty years, researchers have developed statistical, data-driven, analytical, and
algorithmic approaches for designing and improving emergency response management …
algorithmic approaches for designing and improving emergency response management …
A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency Management
In the last fifty years, researchers have developed statistical, data-driven, analytical, and
algorithmic approaches for designing and improving emergency response management …
algorithmic approaches for designing and improving emergency response management …
Deep neural network-based predictive modeling of road accidents
This work proposes to use deep neural networks (DNN) model for prediction of road
accidents. DNN consists of two or more hidden layers with large number of nodes. Accident …
accidents. DNN consists of two or more hidden layers with large number of nodes. Accident …
Traffic volume and crashes and how crash and road characteristics affect their relationship–A meta-analysis
AK Høye, IS Hesjevoll - Accident Analysis & Prevention, 2020 - Elsevier
The present study has investigated the relationship between traffic volume and crash
numbers by means of meta-analysis, based on 521 crash prediction models from 118 …
numbers by means of meta-analysis, based on 521 crash prediction models from 118 …
Development of a safety performance function for motorcycle accident fatalities on Malaysian primary roads
MMA Manan, T Jonsson, A Várhelyi - Safety science, 2013 - Elsevier
This study uses a generalized linear model approach, ie negative binomial regression, to
develop a predictive model for motorcycle fatal accidents on Malaysian primary roads. For …
develop a predictive model for motorcycle fatal accidents on Malaysian primary roads. For …
Operating speed prediction models by vehicle type on two-lane rural highways in Indian hilly terrains
The present study aims to develop vehicle type-wise operating-speed prediction (OSP)
models for heterogeneous traffic on two-lane rural highways in Indian hilly terrains. For the …
models for heterogeneous traffic on two-lane rural highways in Indian hilly terrains. For the …
Investigating the safety impact of roadway network features of suburban arterials in Shanghai
X Wang, J Yuan, GG Schultz, S Fang - Accident Analysis & Prevention, 2018 - Elsevier
With rapid changes in land use development along suburban arterials in Shanghai, there is
a corresponding increase in traffic demand on these arterials. To accommodate the local …
a corresponding increase in traffic demand on these arterials. To accommodate the local …
M5 model tree based predictive modeling of road accidents on non-urban sections of highways in India
This work examines the application of M5 model tree and conventionally used fixed/random
effect negative binomial (FENB/RENB) regression models for accident prediction on non …
effect negative binomial (FENB/RENB) regression models for accident prediction on non …
[PDF][PDF] Prioritized allocation of emergency responders based on a continuous-time incident prediction model
A Mukhopadhyay, Y Vorobeychik - International Conference on …, 2017 - par.nsf.gov
Efficient emergency response is a major concern in densely populated urban areas.
Numerous techniques have been proposed to allocate emergency responders to optimize …
Numerous techniques have been proposed to allocate emergency responders to optimize …
Predicting road traffic accidents—Artificial neural network approach
Road traffic accidents are a significant public health issue, accounting for almost 1.3 million
deaths worldwide annually, with millions more experiencing non-fatal injuries. A variety of …
deaths worldwide annually, with millions more experiencing non-fatal injuries. A variety of …