An information system for the effective management of ambulances

Derekenaris, Gregory; Garofalakis, John; Makris, Christos; Prentzas, Jim; Sioutas, Spyros; Tsakalidis, A.

doi:10.1109/cbms.2000.856910

Cited by 12 publications

(6 citation statements)

References 8 publications

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“…We have the practical use system to streamline operation of emergency vehicle, utilizing the position information of fire engines and ambulances. In Attica, Greece, the system which dispatches effectively ambulances is put in operational service by coordinating GIS (Geographic Information System), GPS (Global Positioning System) and GSM (Global System for Mobile Communication) [5]. However, this existing system needs special devices to be installed on emergency vehicles.…”

Section: Related Workmentioning

confidence: 99%

Smart Ambulance Approach Alarm System Using Smartphone

Kobayashi

Kimura

Imai

et al. 2019

IEICE Trans. Inf. & Syst.

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In order to operate an ambulance efficiently, we developed a Smart Ambulance Approach Alarm System using smartphone, by notifying the approach of an ambulance to other vehicles on public roads. The position information of ambulances has not been opened in view of development costs and privacy protection. Therefore, our study opens the position information inexpensively by loading commodity smartphones, not special devices, into ambulances. The position information is made to be open as minimum necessary information by our developed cloud server application, considering dynamic state of other vehicles on public roads and privacy of ambulance service users. We tested the functional efficiency of this system by the demonstration experiment on public roads.

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Section: Related Workmentioning

confidence: 99%

Smart Ambulance Approach Alarm System Using Smartphone

Kobayashi

Kimura

Imai

et al. 2019

IEICE Trans. Inf. & Syst.

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“…In our system, the routing service has been implemented using the Dijkstra's algorithm, it is one of the spatial optimization algorithm for finding shortest routes and it is the most widely used in GIS software packages. Its performance depends on the data structures used to implement the graph representing the spatial network [16]. The road network is represented by a graph (non-oriented in our case).…”

Section: Implement a Non Of Dtjkstra's Algorithmmentioning

confidence: 99%

A web-based spatial decision support system for effective monitoring and routing problem

Houssaini

Badri

2012

2012 International Conference on Multimedia Computing and Systems

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This paper presents an integrated framework of Geographic Information System (GIS) and a Relational Database Management System (RDBMS) equipped with interactive communication capabilities. The model integrates the design of the database and the management of implementation of the monitoring system which includes the operations of query and analysis using the web and desktop applications. This study aims to apply techniques of analysis of the road network in a GIS to collect geographic data on the monitoring station and the roads. The information on road infrastructure is not only useful for locating monitoring stations, but it is also important to guide a station to follow the shortest path to achieve the objectives of management and routing. Optimal routes based on the minimum cost are identified using Dijkstra's algorithm. The results show that it is possible to use an effective method of GIS to integrate multiple data sets and learn advanced information. The need for such a framework and requirements for the orientation of monitoring stations in the event of a road accident are studied and the architecture of this framework is discussed. The proposed system should be a tool comprehensible, well structured, efficient and scalable which facilitates the location of road accidents and the orientation of the monitoring stations in response to these accidents. Simulated test cases have been carried out for network of Mohammedia City in Morocco.

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“…Using RFID, GSM, and microcontroller technology, road traffic congestion is monitored and measured [5,6]. The use of existing traffic volume statistics for road sections is the basis for the methodology of estimation in a genetic algorithm method [7][8][9] to traffic volume estimates in the absence of traffic data. This stiff AT89C51 [10], with its smaller storage capacity, is intended to be used in the traffic control circuit.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Arduino-based Intelligent Emergency Ambulance and Traffic Management System

Kar,

Murugan,

Gangikunta

2024

E3S Web of Conf.

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The goal of the project is to construct a density-based traffic signal management system that can automatically modify the timing of the signal based on the volume of traffic at the crossing. Traffic signal regulation is becoming a major issue that causes congestion and has a major role in the delay of emergency vehicles because of the rise in automobiles on the road these days. The majority of urban areas in the world have serious traffic problems, thus it's time to switch from more human or fixed modes to automated systems with decision-making skills. The fixed-based traffic signalling system of today may become ineffective if only one lane is used at a time. In this work, Arduino-based intelligent traffic control system framework helps to reduce this issue.

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An information system for the effective management of ambulances

Cited by 12 publications

References 8 publications

Smart Ambulance Approach Alarm System Using Smartphone

Smart Ambulance Approach Alarm System Using Smartphone

A web-based spatial decision support system for effective monitoring and routing problem

Design and Implementation of Arduino-based Intelligent Emergency Ambulance and Traffic Management System

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