Development of agent based model for predicting emergency response time

Bandyopadhyay, Mainak; Singh, Varun

doi:10.1016/j.pisc.2016.04.017

Cited by 12 publications

(9 citation statements)

References 2 publications

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“…Accordingly, the considered methods [7,8] help determine the locations of ERU departments in the territory of a settlement, taking into account the minimum time of their arrival at the place of call. The time of arrival from the ERU department location to the place of a call can be estimated by the method proposed in [9]. In determining the average time of arrival at the place of a call, certain characteristics of the street-road network of the settlement are taken into account.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…In determining the average time of arrival at the place of a call, certain characteristics of the street-road network of the settlement are taken into account. Using the method of [9], it is possible to determine the time of the ERU arrival at the places of liquidating hazards and emergencies, depending on the type of the EVs at the disposal of the unit. In [10], the determination of the required sites of ERU concentration is proposed to be performed by a geospatial analysis.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…According to the results of the literature review [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19], it has been found that the known methods for determining the number of EVs with the purpose of equipping ERUs and redeploying the available forces and means are developed mainly for million-plus cities. Such cities are characterized by a higher population density than other types of settlements, which is why the happening of hazardous events and emergencies on their territories is accompanied by a large number of victims and casualties.…”

Section: Development Of a Predictive Model For Determining The Numbermentioning

confidence: 99%

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Development of a method of completing emergency rescue units with emergency vehicles

Kovalenko

Kalynovskyi

Nazarenko

et al. 2019

EEJET

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Section: Development Of a Predictive Model For Determining The Numbermentioning

confidence: 99%

See 1 more Smart Citation

Development of a method of completing emergency rescue units with emergency vehicles

Kovalenko

Kalynovskyi

Nazarenko

et al. 2019

EEJET

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“…The authors offer to use computer modelling of wild fire to know possible location of obstacles and routes of bypassing. The paper by Bandyopadhyay, M. and Singh, V. et al [11] presents a similar solution to the problem. To determine the optimal route of fire trucks to the place of call in Allahabad city, GPS trajectories are used.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Duration of Emergency Vehicle Movement to the Place of Fire

Pasnak

Renkas

2020

Transport Problems

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The article is devoted to the issue of the negative effect of delays in the movement of special rescue vehicles on the effectiveness of their mission. The dependence of the area of fire on the delay of the arrival of firefighters using a fire-rescue vehicle is shown. The cascading graph of route options of special vehicle movement to the place of an emergency call is given. The algorithm of the optimal route choice of the special vehicle motion with given projected delays is offered. Based on the graph theory, probability theory, and the basic principles of traffic organization, the article proposes a new way to determine the optimal route.

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“…The importance of intervention methods are increasing in health, crime, fire and natural disasters (Paraskevi et al, 2010;Konstantinos et al, 2000, Zhang et al, 2016Lam et al, 2015). Responding to emergency call needs to be managed effectively using decision support systems to save human life and DOI: 10.15317/Scitech.2017.69 F. SARI 48 provide public security (Bandyopadhyay and Singh, 2016). Generating decision support systems provide the right decisions in emergency situations and manage the reasons and solutions of the emergency status (Yoon et al, 2008;Mincardi et al, 2007;Aktas and Swalehe, 2016).…”

Section: Introductionmentioning

confidence: 99%

A Gis Based New Navigation Approach for Reducing Emergency Vehicle S Response Time

Sarı¹

2017

Scitech

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ABSTRACT:Recently, for ensuring human life and safety, routing and intervening emergency vehicles as soon as possible an important subject. Ambulance, firefighter, police and other emergency vehicles are the main object of the intervention. Reaching the emergency area as soon as possible is important for saving human life and preventing economic loss. Directing and routing emergency vehicles from the moment they receive an emergency call to the event location must be considered carefully. In this study, ensuring the shortest response time for the emergency vehicles, obstacles like speed bumps, traffic lights, parking status of the streets, railroad crossings and crossroads which reduce the speed of emergency vehicles and increasing the intervention time are detected. In order to determine the effect of obstacles, a new Segment Effect Value (SEV) formula is developed. Values are assigned to the street segments according to obstacles in particular streets. SEV formula makes possible to determine the routes that provides the shortest intervention time. Results are compared with the shortest route and the shortest time route. Key Words: Emergency response time, Network analyst, Geographical information systems, Navigation systems Acil Müdahale Araçlarının Müdahale Zamanını Azaltmak İçin Cbs Tabanlı Bir Navıgasyon YaklaşımÖZ: İnsan yaşamını ve güvenliğini sağlamak için acil durum araçlarının olabildiğince hızlı müdahalesi önemli bir konu haline gelmiştir. Ambulans, itfaiye, polis ve diğer araçları acil durum müdahale araçlarının başında gelmektedir. Yaşam kayıplarının ve ekonomik kayıpların önüne geçmek için hızlı müdahale büyük önem taşımaktadır. İhbar alınmasından itibaren olay yerine gidene kadarki yönlendirme dikkatle yapılmalıdır. Müdahale zamanını kısaltmak için hız bariyerleri, trafik ışıkları, park etmiş araçlar, demiryolu geçitleri ve kavşaklar gibi hız kesici engellerin bilinmesi gerekmektedir. Bu engellerin etkisini ortaya koymak için Segment Etki Değeri (SED) isimli bir formül geliştirilmiştir ve bu formül ile her bir cadde segmentine değer atanmıştır. Böylece araçların bu engellerle karşılaşmayacakları en hızlı güzergah üzerinden gitmelerinin sağlanması amaçlanmıştır. En kısa yol ve en hızlı yol arasındaki farklar paylaşılmıştır.

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Development of agent based model for predicting emergency response time

Cited by 12 publications

References 2 publications

Development of a method of completing emergency rescue units with emergency vehicles

Development of a method of completing emergency rescue units with emergency vehicles

Optimization of the Duration of Emergency Vehicle Movement to the Place of Fire

A Gis Based New Navigation Approach for Reducing Emergency Vehicle S Response Time

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