Locating emergency vehicles with an approximate queuing model and a meta-heuristic solution approach

Date

2018-05-01

Author

Akdoğan, Muharrem Altan
Bayındır, Zeynep Pelin
İyigün, Cem

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In this paper, the location of emergency service (ES) vehicles is studied on fully connected networks. Queuing theory is utilized to obtain the performance metrics of the system. An approximate queuing model the (AQM) is proposed. For the AQM, different service rate formulations are constructed. These formulations are tested with a simulation study for different approximation levels. A mathematical model is proposed to minimize the mean response time of ES systems based on AQM. In the model, multiple vehicles are allowed at a single location. The objective function of the model has no closed form expression. A genetic algorithm is constructed to solve the model. With the help of the genetic algorithm, the effect of assigning multiple vehicles on the mean response time is reported.

Subject Keywords

Automotive Engineering, Transportation, Computer Science Applications

URI

https://hdl.handle.net/11511/39492

Journal

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

DOI

https://doi.org/10.1016/j.trc.2018.01.014

Collections

Department of Industrial Engineering, Article

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Citation Formats

M. A. Akdoğan, Z. P. Bayındır, and C. İyigün, “Locating emergency vehicles with an approximate queuing model and a meta-heuristic solution approach,” TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, pp. 134–155, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/39492.