Online Dispatching and Routing Model for Emergency Vehicles with Area Coverage Constraints

Yang, Saini; Hamedi, Masoud; Haghani, Ali

doi:10.3141/1923-01

Cited by 38 publications

(25 citation statements)

References 14 publications

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“…This model, takes into account standard coverage and capacity constraints, as well as some dynamic features of the problem such as avoiding to move the same ambulance repeatedly, avoiding round trips and avoiding long trips. Yang et al [26] consider the dispatching and relocation of EVs in a single problem and used an online dispatch framework, in order to improve the EV operations. Maxwell et al [27] presented an approximated dynamic programming approach to decide where to redeploy the idle ambulances to maximize number of calls reached within a delay threshold.…”

Section: Literature Reviewmentioning

confidence: 99%

An Optimization Model for Emergency Vehicle Location and Relocation with Consideration of Unavailability Time

2017

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The main purpose of emergency medical services is providing fast medical care, as well as transporting patients to the hospital, in the shortest possible time. Healthcare managers try to improve healthcare systems through reducing the response to demand time. In this paper, we seek to propose an optimization model in order to cover as much demand as possible in the shortest possible time using the available ambulance fleet. To do so, considering the response and service time, amount of demand during the time periods, limitation in the number of available emergency vehicles and the capacity of ambulance stations, we have proposed a mixed integer linear programming optimization model, aiming to minimize the total response time. In this paper we take into account fleet relocation and unavailability time, the time interval in which the vehicle is on its way or doing a service at a demand point. Then, a sensitivity analysis is conducted on the model by manipulating the parameters, so as to observe the effects on the outputs. In order to evaluate the model, several artificial test problems were generated and solved. The results depict the capability of the proposed model in dealing with emergency cases.

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Section: Literature Reviewmentioning

confidence: 99%

An Optimization Model for Emergency Vehicle Location and Relocation with Consideration of Unavailability Time

2017

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“…In the case of emergency vehicles [12] the problem is treated under the assumption that a general vehicle covers a given zone, assigning to the vehicles a sequence of nodes to visit according to the characteristics of the users served.…”

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

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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.

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“…To solve the one-to-one (shortest path) problem exact or heuristic algorithms [8,9] can be used. Considering the ordinary condition, in the literature there are several applications of these procedures also for ambulance dispatching [10].…”

Section: Introductionmentioning

confidence: 99%

“…The problem generally regards goods distribution. However, few works consider the vehicle routing problem for emergency vehicles in ordinary conditions [10] and under emergency conditions in [11,12]. For an extended review of these topics refer to [4,5].…”

Section: Introductionmentioning

confidence: 99%

Safety of users in road evacuation: modelling and DSS for paths design of emergency vehicles

Vitetta¹,

Quattrone²,

Polimeni³

2009

WIT Transactions on Ecology and the Environment

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This paper deals with path design for emergency vehicles (ambulances) in emergency conditions (hurricanes, earthquakes, etc.) to rescue weak users (the elderly, disabled persons, etc.). The problem of an emergency vehicle that has to pick up weak users at fixed points of the network and to take them to the refuge area is schematized with two different 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 (as a shortest-path problem); the second considers the connection of one origin to many destinations (as a vehicle routing problem). Starting from a brief review of both these problems, the available tools for planning evacuation of weak users in emergency condition in the within of oneto-one and many-to-one are analysed. Finally, on the basis of a real simulation of evacuation, we provide experimental results obtained by testing the effectiveness of a commercial tool when little time is available for planning evacuation operations.

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Online Dispatching and Routing Model for Emergency Vehicles with Area Coverage Constraints

Cited by 38 publications

References 14 publications

An Optimization Model for Emergency Vehicle Location and Relocation with Consideration of Unavailability Time

An Optimization Model for Emergency Vehicle Location and Relocation with Consideration of Unavailability Time

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

Safety of users in road evacuation: modelling and DSS for paths design of emergency vehicles

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