NDLI: Optimal routing of vehicles with communication capabilities in disasters

Content Provider	Springer Nature Link
Author	Jin, Mingzhou Ekşioğlu, Burak
Copyright Year	2008
Abstract	Major emergencies and disasters such as acts of terrorism, acts of nature, or human-caused accidents may lead to disruptions in traffic flow. Minimizing the negative effects of such disruptions is critical for a nation’s economy and security. A decision support system that is capable of gathering (real-time) information about the traffic conditions following a disaster and utilizing this information to generate alternative routes for vehicles would benefit the government, industry, and the public. For this purpose, we develop a mathematical programming model to minimize the delay for vehicles with communication capabilities following a disaster. Most commercial trucks and public buses utilize QUALCOMM as a communication tool. We also develop a prediction model for vehicles that do not have any communication capabilities. Although the problem is inherently integer we developed a linear program to reduce the computational burden caused by the large size of the problem. An algorithm is proposed to update the parameters of the linear program based on a duality analysis in order to obtain better results. A monotonic speed–density relationship is embedded in the model to capture high traffic congestion that occurs after a disaster. The model and the algorithm are tested using a simulated disaster scenario. The results indicate that the proposed model improves system performance measures such as mobility and average speed.
Starting Page	121
Ending Page	137
Page Count	17
File Format	PDF
ISSN	1619697X
Journal	Computational Management Science
Volume Number	7
Issue Number	2
e-ISSN	16196988
Language	English
Publisher	Springer-Verlag
Publisher Date	2008-09-25
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Optimal routing Disaster response Optimization Linear programming Operations Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Management Science and Operations Research Management Information Systems Information Systems Statistics, Probability and Uncertainty

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Optimal decision making under uncertainty

Optimal stopping problems by two or more decision makers: a survey

Computations in stochastic programming : Editorial

Decomposition for adjustable robust linear optimization subject to uncertainty polytope

A New Multiobjective Dynamic Routing Method for Multiservice Networks: Modelling and Performance

Cognitive and self-selective routing for sensor networks

Computational study of the GDPO dual phase-1 algorithm

A stochastic programming approach for multi-period portfolio optimization

An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty

Optimal routing of vehicles with communication capabilities in disasters

Similar Documents

Optimal decision making under uncertainty

Optimal stopping problems by two or more decision makers: a survey

Computations in stochastic programming : Editorial

Decomposition for adjustable robust linear optimization subject to uncertainty polytope

A New Multiobjective Dynamic Routing Method for Multiservice Networks: Modelling and Performance

Cognitive and self-selective routing for sensor networks

Computational study of the GDPO dual phase-1 algorithm

A stochastic programming approach for multi-period portfolio optimization

An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty

Optimal routing of vehicles with communication capabilities in disasters