Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Location analysis of emergency vehicles using an approximate queueing model
Download
1-s2.0-S2352146517301539-main.pdf
Date
2016-09-07
Author
Akdoğan, Muharrem Altan
Bayındır, Zeynep Pelin
İyigün, Cem
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
183
views
128
downloads
Cite This
In this study, location analysis of emergency system vehicles is discussed using an approximate queueing model (AQM) on fully connected networks. We relax single vehicle restriction in each vehicle location which is commonly employed in the literature. Order of districting structure is used to transition rates in AQM. Service rates are computed regarding the location of the demand call and the vehicle, which provides higher resolution than inter-intra district service rates. Generic rate formulations are delivered for service rate calculations. A coverage threshold is used and all location solutions for a problem instance having a higher coverage than the threshold are analyzed. Mean response time for these solutions are found using AQM and an exact simulation model. Mean absolute percent error for mean response time is reported against different order of districting levels and network specific variables such as distribution of demand over the area, traffic intensity or the number of vehicles. (C) 2017 The Authors. Published by Elsevier B.V.
Subject Keywords
Location analysis
,
Queueing model
,
Simulation
URI
https://hdl.handle.net/11511/38626
DOI
https://doi.org/10.1016/j.trpro.2017.03.018
Collections
Department of Industrial Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Location analysis of the mobile/24 emergency service vehicles of a case company
Yetkin, Raife Meltem; İyigün, Cem; Department of Industrial Engineering (2012)
The aim of this study is planning the locations of emergency centers (ECs) as well as the number of vehicles in each EC of Corporation, Man Truck and Bus Group, to respond to the calls (arrival of the mobile/24 emergency service vehicle to the broken vehicle) within the desired time. The company aims to respondto the calls within 90 minutes. If the EC cannot respond to the calls within 90 minutes, they should be satisfiedwithin 180 minutes. We propose a probabilistic programming approach to maximize the num...
Clustering-based methodology for determining optimal roadway configuration of detectors for travel time estimation
Bartin, Bekir; OZBAY, Kaan; İyigün, Cem (SAGE Publications, 2007-01-01)
The problem of finding the optimal roadway segment configuration for road-based surveillance technologies to estimate route travel times accurately is addressed. This problem is inherently a space discretization problem regardless of which travel time estimation function is used. Its ad hoc solution is the equidistant segment configuration, such as every half mile or every 1 mi. It is shown that the space discretization problem can be expressed as the common clustering problem. The novelty of the proposed a...
Tracking Reported Vehicles in Traffic Management and Information System using Intelligent Junctions
Elci, Atilla; RAHNAMA, BEHNAM; Amintabar, Amirhasan (2010-05-01)
This study highlights a security scenario involving vehicles in a Traffic Management and Information System (TMIS) network. TMIS and its nodal architecture, nicknamed Intelligent Junction (IJ), are summarized from our recent work. System design sets an example to a software architecture implementing autonomous semantic agents through semantic web services, junction-based sensor networks, local- and wide-area networking through wire/wireless integrated communication infrastructure. It is so construed as to p...
Location update generation and performance analysis in cellular mobile computing systems
Yoncacı, İlker; Demirös, Onur; Erten, Murat; Department of Information Systems (2002)
The Global System for Mobile Communications (GSM) allows user universal and worlwide access to information and the ability to communicate with each other independently of their location and mobility. Tracking mobile users is one of the basic functions of the network system and one of the important issues in the design of a mobile computing system is how to manage the real-time locations of mobile clients. Most of the mobile computing applications are expected to support location- dependent continuous querie...
Time variant component and system reliability analysis of bridges
Ghasemnejad Berenji, Vahid; Akgül, Ferhat; Department of Engineering Sciences (2015)
This study aims to develop a time variant reliability algorithm for a bridge component or system capable of incorporating multiple deterioration and live load models to be selected by the user. The algorithm is developed as a shell program built over a previously developed core program (RELSYS) which is based on the First Order Reliability Method (FORM). After reviewing previous research performed on both time invariant and time variant bridge reliability, the fundamental concepts of time variant reliabilit...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. A. Akdoğan, Z. P. Bayındır, and C. İyigün, “Location analysis of emergency vehicles using an approximate queueing model,” 2016, vol. 22, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38626.