A fuzzy multi-objective covering-based vehicle location model for emergency services

Araz, Ceyhun; Selim, Hasan; Özkarahan, İrem

doi:10.1016/j.cor.2005.03.021

Cited by 153 publications

(90 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Araz et al [2] study an emergency system (ambulances and anti-fire vehicles) so as to diminish travel time and maximize the area covered and the number of users saved.…”

Section: Many To Onementioning

confidence: 99%

Safety of users in road evacuation: design of path choice models for emergency vehicles

Vitetta¹,

Quattrone²,

Polimeni³

2007

WIT Transactions on the Built Environment, Vol 96

View full text Add to dashboard Cite

Within the framework of the SICURO research project, the main objective of this paper is to define the procedures to be planned and activated in emergencies in order to allow the evacuation of weak users (disabled, old persons, etc.) from the area affected by a disaster and design the optimal path for emergency vehicles to reduce evacuation times. Specification, calibration and validation of a path choice generation model in order to simulate the behaviour of emergency vehicle drivers at an urban level during an evacuation is proposed. We specify the factors that affect path choice behaviour and the two main approaches: one to one and many to one. The first regards the minimization of generalized cost of a path that connects an origin to a destination; the second instead considers the connection of one origin to many destinations. We also report some experimental results, obtained in the context of the SICURO Project, by applying the proposed model to a real road transport network at urban scale during a simulation of an evacuation.

show abstract

“…Araz et al [2] study an emergency system (ambulances and anti-fire vehicles) so as to diminish travel time and maximize the area covered and the number of users saved.…”

Section: Many To Onementioning

confidence: 99%

Safety of users in road evacuation: design of path choice models for emergency vehicles

Vitetta¹,

Quattrone²,

Polimeni³

2007

WIT Transactions on the Built Environment, Vol 96

View full text Add to dashboard Cite

show abstract

“…Araz, Selim, and Ozkarahan (2007) considered a multi-objective fuzzy goal programming for covering-based emergency vehicle location model. The objective of Araz et al (2007) is to maximize the population with backup coverage and increasing the service level by minimizing the total travel distance from locations at a distance larger than a prespecified distance standard [13]. Berman and Gavious (2007) presented competitive location models to locate facilities that contain resources required for response to a terrorist attack.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of Emergency Service Facilities Location Problem Under Fuzzy Environment

Guo¹,

2014

TOMEJ

View full text Add to dashboard Cite

Abstract:The emergency service facilities location is one of the most important issues in the emergency management. This study focused on the location set covering problem (LSCP) for emergency service facilities under fuzzy environment. On the basis of defining the signed distance of trapezoidal fuzzy number, the ranking rules of trapezoidal fuzzy number are defined, the model of emergency service facilities location with fuzzy restraints is proposed, and the solution algorithm for the emergency service location based on the ordering rules of trapezoidal fuzzy number is given. Finally, a numerical simulation is used to illustrate the application of the method, which shows that the algorithm is feasible and advantageous.

show abstract

“…However, it is primarily focused to the Search and Rescue domain [3], [4], mainly thanks to the RoboCup Rescue Robot and Simulation competitions [5]. In emergency response, the research L. Chrpa focuses on the problem of determining a (nearly) optimal coverage of emergency services [6] where various techniques such as genetic programming [7] or fuzzy reasoning [8] have been used. Models predicting the likeliness of medical incident occurrence, which can assist the emergency response controllers in their decision making, have been developed [9].…”

Section: Introductionmentioning

confidence: 99%

On the exploitation of Automated Planning for efficient decision making in road traffic accident management

Chrpa

Vallati

2016

2016 IEEE 55th Conference on Decision and Control (CDC)

View full text Add to dashboard Cite

Abstract-Automated Planning can be fruitfully exploited as a Decision Support toolkit that, given a specification of available actions (elementary decisions to be taken), an initial situation and goals to be achieved, generates a plan that represents a (partially ordered) sequence of such elementary decisions that once performed the required goals are achieved. Road Traffic Accident Management is a life-critical task that deals with effective planning of emergency response when accidents occur, in order to mitigate negative effects, especially saving human lives that might be in imminent danger.In this paper, we exploit Automated Planning in the Road Traffic Accident Management domain. We specifically focus on providing necessary treatment for victims injured during accidents. This involves coordination of medical teams responsible for providing medical treatment to the victims and fire brigades that are required to release victims trapped in damaged vehicles. An empirical analysis, based in the region of West Yorkshire (UK) with a number of real accidents recently occurred there, shows the suitability of the proposed Automated Planning approach to be used in time-critical conditions, and confirms the effectiveness of the generated plans. We also demonstrated its usefulness as a tool for evaluating the impact of additional resources, in order to provide guidance for future investments.

show abstract

A fuzzy multi-objective covering-based vehicle location model for emergency services

Cited by 153 publications

References 29 publications

Safety of users in road evacuation: design of path choice models for emergency vehicles

Safety of users in road evacuation: design of path choice models for emergency vehicles

Modeling and Simulation of Emergency Service Facilities Location Problem Under Fuzzy Environment

On the exploitation of Automated Planning for efficient decision making in road traffic accident management

Contact Info

Product

Resources

About