Large-network travel time distribution estimation for ambulances

DOI10.1016/J.EJOR.2016.01.004zbMath1346.90565OpenAlexW2239838331MaRDI QIDQ322885

Shane G. Henderson, Bradford S. Westgate, David S. Matteson, Dawn B. Woodard

Publication date: 7 October 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2016.01.004

zbMATH Keywords

transportationMarkov chain Monte CarlotrafficOR in health servicestravel time estimation

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Case-oriented studies in operations research (90B90)

Related Items (5)

The use of aircraft tracking GPS data to develop models of the use of airtankers in forest fire management ⋮ Non-expected route choice model under risk on stochastic traffic networks ⋮ Predictive inference for travel time on transportation networks ⋮ Risk Averse Shortest Paths: A Computational Study ⋮ Ambulance Emergency Response Optimization in Developing Countries

Uses Software

• TomTom
• GAMLSS

Cites Work

• Optimal scaling for various Metropolis-Hastings algorithms.
• Ambulance location and relocation models.
• Markov chains for exploring posterior distributions. (With discussion)
• Solving the dynamic ambulance relocation and dispatching problem using approximate dynamic programming
• A parallelizable dynamic fleet management model with random travel times
• Travel time estimation for ambulances using Bayesian data augmentation
• Vehicle routing and scheduling with dynamic travel times
• Approximate Dynamic Programming for Ambulance Redeployment
• Ambulance location for maximum survival
• Strictly Proper Scoring Rules, Prediction, and Estimation
• A New Measure of Travel Time Reliability for In-Vehicle Navigation Systems
• Probabilistic Forecasts, Calibration and Sharpness
• Generalized Additive Models for Location, Scale and Shape
• Improving The Emergency Service Delivery In St. Albert
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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