| contributor author | Yi Liu | |
| contributor author | Arash M. Roshandeh | |
| contributor author | Zongzhi Li | |
| contributor author | Konstantinos Kepaptsoglou | |
| contributor author | Harshingar Patel | |
| contributor author | Xi Lu | |
| date accessioned | 2017-05-08T22:06:41Z | |
| date available | 2017-05-08T22:06:41Z | |
| date copyright | September 2014 | |
| date issued | 2014 | |
| identifier other | 28702825.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/71560 | |
| description abstract | Emergency medical service (EMS) providers participating in vehicle crash-induced incident management aim to offer as wide and efficient coverage as possible to meet the demand for incident responses effectively; however, the design and provision of efficient and cost-effective services are tough issues faced by emergency management authorities. This paper introduces a double standard model (DSM), along with a genetic algorithm (GA) for assigning EMS fleet from vehicle locations to intersection vehicle crash sites such that crash demand sites can be covered in accordance with two service coverage standards. Specifically, all demand sites are required to receive single coverage according to the secondary coverage standard and at least a portion ( | |
| publisher | American Society of Civil Engineers | |
| title | Heuristic Approach for Optimizing Emergency Medical Services in Road Safety within Large Urban Networks | |
| type | Journal Paper | |
| journal volume | 140 | |
| journal issue | 9 | |
| journal title | Journal of Transportation Engineering, Part A: Systems | |
| identifier doi | 10.1061/(ASCE)TE.1943-5436.0000684 | |
| tree | Journal of Transportation Engineering, Part A: Systems:;2014:;Volume ( 140 ):;issue: 009 | |
| contenttype | Fulltext | |
