Simulation Model for Real-Time Emergency Vehicle Dispatching and Routing

Haghani, Ali; Tian, Qiang; Hu, Huijun

doi:10.3141/1882-21

Cited by 86 publications

(59 citation statements)

References 12 publications

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“…This may lead to an emergency vehicle reassignment under existing real-time dispatching models [23]. The output of this new processing takes the form of communication to the emergency fleet located in the vicinity of the incident, selecting the best vehicle and assigning it to the accident.…”

Section: Operations Of the Management Systemmentioning

confidence: 99%

Complex Application Architecture Dynamic Reconfiguration Based on Multi-criteria Decision Making

Talbot¹,

Benyahia²

2010

IJSEA

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Section: Operations Of the Management Systemmentioning

confidence: 99%

Complex Application Architecture Dynamic Reconfiguration Based on Multi-criteria Decision Making

Talbot¹,

Benyahia²

2010

IJSEA

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“…Thirdly, the first responders are usually required to arrive within a certain time, which places great pressure on the EV drivers. Despite intensive research on EV routing [10,11], the travel time of ambulances depends heavily on the traffic situation. In some situations, ambulances themselves may cause traffic chaos and become victims [12].…”

Section: Emergency Management Challengesmentioning

confidence: 99%

Every Second Counts: Integrating Edge Computing and Service Oriented Architecture for Automatic Emergency Management

Chen¹,

Englund

2018

Journal of Advanced Transportation

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Emergency management has long been recognized as a social challenge due to the criticality of the response time. In emergency situations such as severe traffic accidents, minimizing the response time, which requires close collaborations between all stakeholders involved and distributed intelligence support, leads to greater survival chance of the injured. However, the current response system is far from efficient, despite the rapid development of information and communication technologies. This paper presents an automated collaboration framework for emergency management that coordinates all stakeholders within the emergency response system and fully automates the rescue process. Applying the concept of multiaccess edge computing architecture, as well as choreography of the service oriented architecture, the system allows seamless coordination between multiple organizations in a distributed way through standard web services. A service choreography is designed to globally model the emergency management process from the time an accident occurs until the rescue is finished. The choreography can be synthesized to generate detailed specification on peer-to-peer interaction logic, and then the specification can be enacted and deployed on cloud infrastructures.

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“…An ambulance dispatch tool, produced by (Haghani, Hu, & Tian, 2003), includes a queuing system to prioritise more severe incidents, a relocation ability and real time traffic information. This approach is well suited for the ambulance dispatch problem but does not address the specific issues required by a police dispatch algorithm such as demand coverage.…”

Section: Background To Dispatchmentioning

confidence: 99%

Optimising police dispatch for incident response in real time

Dunnett

Leigh

Jackson

2018

Journal of the Operational Research Society

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aeronautical and automotive engineering, loughborough university, loughborough, england ABSTRACT It is crucial that police forces operate in a cost efficient manner and, in the case of incident response, that the most efficient resources are allocated. The current procedure is that police response units are allocated manually by a dispatcher using a resource list and mapping software. The efficiency of this process can be improved by the use of integrated mathematical approaches embedded within an automatic framework, yielding the optimal selection framework developed in this paper. The framework combines mapping and routing algorithms, and a decision process to facilitate optimal officer selection for incident response. The decision process considers information such as quickest response time, predicted traffic conditions, driving qualifications, response unit availability and demand coverage. The selection framework has been tested and validated through simulation and has shown to increase the efficiency of response units through reduced response times, increased response unit availability, and greater demand coverage.

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Simulation Model for Real-Time Emergency Vehicle Dispatching and Routing

Cited by 86 publications

References 12 publications

Complex Application Architecture Dynamic Reconfiguration Based on Multi-criteria Decision Making

Complex Application Architecture Dynamic Reconfiguration Based on Multi-criteria Decision Making

Every Second Counts: Integrating Edge Computing and Service Oriented Architecture for Automatic Emergency Management

Optimising police dispatch for incident response in real time

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