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amsys 15(8): e4

Research Article

On Movement of Emergency Services amidst Urban Traffic

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  • @ARTICLE{10.4108/eai.1-12-2015.150713,
        author={Manoj Bode and Shashi Shekhar Jha and Shivashankar B. Nair},
        title={On Movement of Emergency Services amidst Urban Traffic},
        journal={EAI Endorsed Transactions on Ambient Systems},
        volume={2},
        number={8},
        publisher={EAI},
        journal_a={AMSYS},
        year={2015},
        month={12},
        keywords={Intelligent Traffic Management, Emergency Services, Mobile Agents, Multi-agent systems, Distributed Intelligence, Tartarus, Emulation},
        doi={10.4108/eai.1-12-2015.150713}
    }
    
  • Manoj Bode
    Shashi Shekhar Jha
    Shivashankar B. Nair
    Year: 2015
    On Movement of Emergency Services amidst Urban Traffic
    AMSYS
    EAI
    DOI: 10.4108/eai.1-12-2015.150713
Manoj Bode1, Shashi Shekhar Jha1, Shivashankar B. Nair1,*
  • 1: Department of Computer Science & Engineering, Indian Institute of Technology Guwahati, Guwahati-781039, Assam, INDIA
*Contact email: sbnair@iitg.ernet.in

Abstract

Managing traffic in urban areas is a complex affair. The same becomes more challenging when one needs to take into account the prioritized movement of emergency vehicles along with the normal flow of traffic. Although, mechanisms have been proposed to model intelligent traffic management systems, a concentrated effort to facilitate the movement of emergency services amongst urban traffic is yet to be formalized. This paper proposes a distributed multi-agent based mechanism to create partial green corridors for the movement of emergency service vehicles such as ambulances, fire brigade and police vans, amidst urban traffic. The proposed approach makes se of a digital network of traffic signal nodes equipped with traffic sensors and an agent framework to autonomously extend, maintain and manage partial green corridors for such emergency vehicles. The approach was emulated using Tartarus, an agent framework over a LAN. The results gathered under varying traffic conditions and also several emergency vehicles, validate the performance of this approach and its effects on the movement of normal traffic. Comparisons with the non-prioritized and full green corridor approaches indicate that the proposed partial corridor approach outperforms the rest.

Keywords
Intelligent Traffic Management, Emergency Services, Mobile Agents, Multi-agent systems, Distributed Intelligence, Tartarus, Emulation
Received
2015-02-27
Accepted
2015-04-02
Published
2015-12-01
Publisher
EAI
http://dx.doi.org/10.4108/eai.1-12-2015.150713

Copyright © 2015 Shivashankar B. Nair et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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