Home > Research > Publications & Outputs > Hypercube queueing models for emergency respons...

Research

Associated organisational units

Electronic data

View graph of relations

Hypercube queueing models for emergency response systems

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Published

Standard

Hypercube queueing models for emergency response systems. / Boyacı, Burak; Geroliminis, Nikolas.
2014. Paper presented at STRC 2014 – 14th Swiss Transport Research Conference, Ascona, Switzerland.

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Harvard

Boyacı, B & Geroliminis, N 2014, 'Hypercube queueing models for emergency response systems', Paper presented at STRC 2014 – 14th Swiss Transport Research Conference, Ascona, Switzerland, 14/05/14 - 16/05/14.

APA

Boyacı, B., & Geroliminis, N. (2014). Hypercube queueing models for emergency response systems. Paper presented at STRC 2014 – 14th Swiss Transport Research Conference, Ascona, Switzerland.

Vancouver

Boyacı B, Geroliminis N. Hypercube queueing models for emergency response systems. 2014. Paper presented at STRC 2014 – 14th Swiss Transport Research Conference, Ascona, Switzerland.

Author

Boyacı, Burak ; Geroliminis, Nikolas. / Hypercube queueing models for emergency response systems. Paper presented at STRC 2014 – 14th Swiss Transport Research Conference, Ascona, Switzerland.16 p.

Bibtex

@conference{43892069de8648368444db43ac5b07c6,
title = "Hypercube queueing models for emergency response systems",
abstract = "Spatial queueing systems (SQS) can be defined as a type of queue that mobile servers are assigned to travel to the customer and provide on-scene service or the customers travel to service facilities to have service. It has a lot of application areas in literature from emergency response to vehicle repair services, dial-a-ride to paratransit.In this research, our aim is to find a rapid approach to calculate performance measures of SQS. Our ultimate aim is to utilize this rapid approach as an instance solver inside some optimization algorithms such as simulated annealing (SA) and variable neighborhood search (VNS) to find better location for systems such as ambulances, fire brigades. For this purpose, we have developed two methods to calculate performance measures of an instance of SQS. To check accuracy and efficiency, the approach is compared with simulation results on some instances. Then the two methods are used with SA and VNS to improve server locations. Results show that the approach is promising and can be applied as a tool inside some optimization algorithms.",
author = "Burak Boyacı and Nikolas Geroliminis",
year = "2014",
month = may,
day = "14",
language = "English",
note = "STRC 2014 – 14th Swiss Transport Research Conference ; Conference date: 14-05-2014 Through 16-05-2014",
url = "http://www.strc.ch/2014.php",

}

RIS

TY - CONF

T1 - Hypercube queueing models for emergency response systems

AU - Boyacı, Burak

AU - Geroliminis, Nikolas

PY - 2014/5/14

Y1 - 2014/5/14

N2 - Spatial queueing systems (SQS) can be defined as a type of queue that mobile servers are assigned to travel to the customer and provide on-scene service or the customers travel to service facilities to have service. It has a lot of application areas in literature from emergency response to vehicle repair services, dial-a-ride to paratransit.In this research, our aim is to find a rapid approach to calculate performance measures of SQS. Our ultimate aim is to utilize this rapid approach as an instance solver inside some optimization algorithms such as simulated annealing (SA) and variable neighborhood search (VNS) to find better location for systems such as ambulances, fire brigades. For this purpose, we have developed two methods to calculate performance measures of an instance of SQS. To check accuracy and efficiency, the approach is compared with simulation results on some instances. Then the two methods are used with SA and VNS to improve server locations. Results show that the approach is promising and can be applied as a tool inside some optimization algorithms.

AB - Spatial queueing systems (SQS) can be defined as a type of queue that mobile servers are assigned to travel to the customer and provide on-scene service or the customers travel to service facilities to have service. It has a lot of application areas in literature from emergency response to vehicle repair services, dial-a-ride to paratransit.In this research, our aim is to find a rapid approach to calculate performance measures of SQS. Our ultimate aim is to utilize this rapid approach as an instance solver inside some optimization algorithms such as simulated annealing (SA) and variable neighborhood search (VNS) to find better location for systems such as ambulances, fire brigades. For this purpose, we have developed two methods to calculate performance measures of an instance of SQS. To check accuracy and efficiency, the approach is compared with simulation results on some instances. Then the two methods are used with SA and VNS to improve server locations. Results show that the approach is promising and can be applied as a tool inside some optimization algorithms.

M3 - Conference paper

T2 - STRC 2014 – 14th Swiss Transport Research Conference

Y2 - 14 May 2014 through 16 May 2014

ER -