Large-network travel time distribution estimation for ambulances
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Publication:322885
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
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
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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