Large-network travel time distribution estimation for ambulances

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Large-network travel time distribution estimation for ambulances

We propose a regression approach for estimating the distribution of ambulance travel times between any two locations in a road network. Our method uses ambulance location data that can be sparse in both time and network coverage, such as Global Positioning System data. Estimates depend on the path traveled and on explanatory variables such as the time of day and day of week. By modeling at the ...

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Travel Time Estimation for Ambulances Using Bayesian Data Augmentation1 by Bradford

We introduce a Bayesian model for estimating the distribution of ambulance travel times on each road segment in a city, using Global Positioning System (GPS) data. Due to sparseness and error in the GPS data, the exact ambulance paths and travel times on each road segment are unknown. We simultaneously estimate the paths, travel times, and parameters of each road segment travel time distributio...

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ژورنال

عنوان ژورنال: European Journal of Operational Research

سال: 2016

ISSN: 0377-2217

DOI: 10.1016/j.ejor.2016.01.004