Ambulance redeployment: An approximate dynamic programming approach. Maxwell, M. S., Henderson, S. G., & Topaloglu, H. In Rossetti, M. D., Hill, R. R., Johansson, B., Dunkin, A., & Ingalls, R. G., editors, Proceedings of the 2009 Winter Simulation Conference, pages 1850–1860, Piscataway NJ, 2009. IEEE.
Paper abstract bibtex 1 download Emergency medical service (EMS) providers are charged with the task of managing ambulances so that the time required to respond to emergency calls is minimized. One approach that may assist in reducing response times is ambulance redeployment, i.e., repositioning idle ambulances in real time. We formulate a simulation model of EMS operations to evaluate the performance of a given allocation policy and use this model in an approximate dynamic programming (ADP) context to compute high-quality redeployment policies. We find that the resulting ADP policies perform much better than sub-optimal static policies and marginally better than near-optimal static policies. Representative computational results for Edmonton, Alberta are included.
@inproceedings{maxhentop09,
abstract = {Emergency medical service (EMS) providers are charged with the task of managing ambulances so that the time required to respond to emergency calls is minimized. One approach that may assist in reducing response times is ambulance redeployment, i.e., repositioning idle ambulances in real time. We formulate a simulation model of EMS operations to evaluate the performance of a given allocation policy and use this model in an approximate dynamic programming (ADP) context to compute high-quality redeployment policies. We find that the resulting ADP policies perform much better than sub-optimal static policies and marginally better than near-optimal static policies. Representative computational results for Edmonton, Alberta are included.},
address = {Piscataway {NJ}},
author = {M. S. Maxwell and S. G. Henderson and H. Topaloglu},
booktitle = {Proceedings of the 2009 Winter Simulation Conference},
date-added = {2016-01-10 16:07:54 +0000},
date-modified = {2016-01-10 16:07:54 +0000},
editor = {M. D. Rossetti and R. R. Hill and B. Johansson and A. Dunkin and R. G. Ingalls},
pages = {1850--1860},
publisher = {IEEE},
title = {Ambulance redeployment: An approximate dynamic programming approach},
url_paper = {pubs/wsc09redeploy.pdf},
year = {2009}}
Downloads: 1
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We formulate a simulation model of EMS operations to evaluate the performance of a given allocation policy and use this model in an approximate dynamic programming (ADP) context to compute high-quality redeployment policies. We find that the resulting ADP policies perform much better than sub-optimal static policies and marginally better than near-optimal static policies. Representative computational results for Edmonton, Alberta are included.","address":"Piscataway NJ","author":[{"firstnames":["M.","S."],"propositions":[],"lastnames":["Maxwell"],"suffixes":[]},{"firstnames":["S.","G."],"propositions":[],"lastnames":["Henderson"],"suffixes":[]},{"firstnames":["H."],"propositions":[],"lastnames":["Topaloglu"],"suffixes":[]}],"booktitle":"Proceedings of the 2009 Winter Simulation Conference","date-added":"2016-01-10 16:07:54 +0000","date-modified":"2016-01-10 16:07:54 +0000","editor":[{"firstnames":["M.","D."],"propositions":[],"lastnames":["Rossetti"],"suffixes":[]},{"firstnames":["R.","R."],"propositions":[],"lastnames":["Hill"],"suffixes":[]},{"firstnames":["B."],"propositions":[],"lastnames":["Johansson"],"suffixes":[]},{"firstnames":["A."],"propositions":[],"lastnames":["Dunkin"],"suffixes":[]},{"firstnames":["R.","G."],"propositions":[],"lastnames":["Ingalls"],"suffixes":[]}],"pages":"1850–1860","publisher":"IEEE","title":"Ambulance redeployment: An approximate dynamic programming approach","url_paper":"pubs/wsc09redeploy.pdf","year":"2009","bibtex":"@inproceedings{maxhentop09,\n\tabstract = {Emergency medical service (EMS) providers are charged with the task of managing ambulances so that the time required to respond to emergency calls is minimized. One approach that may assist in reducing response times is ambulance redeployment, i.e., repositioning idle ambulances in real time. We formulate a simulation model of EMS operations to evaluate the performance of a given allocation policy and use this model in an approximate dynamic programming (ADP) context to compute high-quality redeployment policies. We find that the resulting ADP policies perform much better than sub-optimal static policies and marginally better than near-optimal static policies. Representative computational results for Edmonton, Alberta are included.},\n\taddress = {Piscataway {NJ}},\n\tauthor = {M. S. Maxwell and S. G. Henderson and H. Topaloglu},\n\tbooktitle = {Proceedings of the 2009 Winter Simulation Conference},\n\tdate-added = {2016-01-10 16:07:54 +0000},\n\tdate-modified = {2016-01-10 16:07:54 +0000},\n\teditor = {M. D. Rossetti and R. R. Hill and B. Johansson and A. Dunkin and R. G. 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