A SUMO Based Evaluation of Road Incidents' Impact on Traffic Congestion Level in Smart Cities

David Smith; Soufiene Djahel; John Murphy

doi:10.1109/LCNW.2014.6927724

A SUMO Based Evaluation of Road Incidents' Impact on Traffic Congestion Level in Smart Cities

David Smith, Soufiene Djahel, John Murphy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Citations (Scopus)

Abstract

Recently, the increasing road traffic congestion has attracted a lot of attention from the research community aiming at proposing innovative solutions to reduce the huge economic loss incurred by this problem. In this paper, we first evaluate the impact of random road incidents on the commuters travel time and the overall traffic congestion level under several scenarios, and provide comprehensive analysis of the obtained evaluation results. Then, we propose an extension of the open source traffic simulator SUMO (Simulation of Urban MObility) to enable real-time vehicles re-routing, to bypass the blocked road due to an incident, by updating their predefined static routes during simulation runtime. The proposed re-routing mechanism has been implemented and the obtained results have proven its high efficiency on reducing the commuters travel time, in case of accident, compared to the basic SUMO.

Original language	English
Title of host publication	Proceedings of the 39th Annual IEEE Conference on Local Computer Networks, LCN 2014
Editors	Nils Aschenbruck, Salil Kanhere, Kemal Akkaya
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	702-710
Number of pages	9
ISBN (Electronic)	9781479937844, 9781479937820
DOIs	https://doi.org/10.1109/LCNW.2014.6927724
Publication status	Published - 20 Oct 2014
Externally published	Yes
Event	39th Annual IEEE Conference on Local Computer Networks - Edmonton, Canada Duration: 8 Sep 2014 → 11 Sep 2014 Conference number: 39

Conference

Conference	39th Annual IEEE Conference on Local Computer Networks
Abbreviated title	LCN 2014
Country/Territory	Canada
City	Edmonton
Period	8/09/14 → 11/09/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/LCNW.2014.6927724Licence: Unspecified

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Smith, D., Djahel, S., & Murphy, J. (2014). A SUMO Based Evaluation of Road Incidents' Impact on Traffic Congestion Level in Smart Cities. In N. Aschenbruck, S. Kanhere, & K. Akkaya (Eds.), Proceedings of the 39th Annual IEEE Conference on Local Computer Networks, LCN 2014 (pp. 702-710). [6927724] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LCNW.2014.6927724

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title = "A SUMO Based Evaluation of Road Incidents' Impact on Traffic Congestion Level in Smart Cities",

abstract = "Recently, the increasing road traffic congestion has attracted a lot of attention from the research community aiming at proposing innovative solutions to reduce the huge economic loss incurred by this problem. In this paper, we first evaluate the impact of random road incidents on the commuters travel time and the overall traffic congestion level under several scenarios, and provide comprehensive analysis of the obtained evaluation results. Then, we propose an extension of the open source traffic simulator SUMO (Simulation of Urban MObility) to enable real-time vehicles re-routing, to bypass the blocked road due to an incident, by updating their predefined static routes during simulation runtime. The proposed re-routing mechanism has been implemented and the obtained results have proven its high efficiency on reducing the commuters travel time, in case of accident, compared to the basic SUMO.",

keywords = "ITS, Road Incidents, Smart Cities, Smart Transportation, SUMO, Vehicles Re-Routing",

author = "David Smith and Soufiene Djahel and John Murphy",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 39th Annual IEEE Conference on Local Computer Networks, LCN 2014 ; Conference date: 08-09-2014 Through 11-09-2014",

year = "2014",

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doi = "10.1109/LCNW.2014.6927724",

language = "English",

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editor = "Nils Aschenbruck and Salil Kanhere and Kemal Akkaya",

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Smith, D, Djahel, S & Murphy, J 2014, A SUMO Based Evaluation of Road Incidents' Impact on Traffic Congestion Level in Smart Cities. in N Aschenbruck, S Kanhere & K Akkaya (eds), Proceedings of the 39th Annual IEEE Conference on Local Computer Networks, LCN 2014., 6927724, Institute of Electrical and Electronics Engineers Inc., pp. 702-710, 39th Annual IEEE Conference on Local Computer Networks, Edmonton, Alberta, Canada, 8/09/14. https://doi.org/10.1109/LCNW.2014.6927724

A SUMO Based Evaluation of Road Incidents' Impact on Traffic Congestion Level in Smart Cities. / Smith, David; Djahel, Soufiene; Murphy, John.

Proceedings of the 39th Annual IEEE Conference on Local Computer Networks, LCN 2014. ed. / Nils Aschenbruck; Salil Kanhere; Kemal Akkaya. Institute of Electrical and Electronics Engineers Inc., 2014. p. 702-710 6927724.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Djahel, Soufiene

AU - Murphy, John

N1 - Conference code: 39

PY - 2014/10/20

Y1 - 2014/10/20

N2 - Recently, the increasing road traffic congestion has attracted a lot of attention from the research community aiming at proposing innovative solutions to reduce the huge economic loss incurred by this problem. In this paper, we first evaluate the impact of random road incidents on the commuters travel time and the overall traffic congestion level under several scenarios, and provide comprehensive analysis of the obtained evaluation results. Then, we propose an extension of the open source traffic simulator SUMO (Simulation of Urban MObility) to enable real-time vehicles re-routing, to bypass the blocked road due to an incident, by updating their predefined static routes during simulation runtime. The proposed re-routing mechanism has been implemented and the obtained results have proven its high efficiency on reducing the commuters travel time, in case of accident, compared to the basic SUMO.

AB - Recently, the increasing road traffic congestion has attracted a lot of attention from the research community aiming at proposing innovative solutions to reduce the huge economic loss incurred by this problem. In this paper, we first evaluate the impact of random road incidents on the commuters travel time and the overall traffic congestion level under several scenarios, and provide comprehensive analysis of the obtained evaluation results. Then, we propose an extension of the open source traffic simulator SUMO (Simulation of Urban MObility) to enable real-time vehicles re-routing, to bypass the blocked road due to an incident, by updating their predefined static routes during simulation runtime. The proposed re-routing mechanism has been implemented and the obtained results have proven its high efficiency on reducing the commuters travel time, in case of accident, compared to the basic SUMO.

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KW - Road Incidents

KW - Smart Cities

KW - Smart Transportation

KW - SUMO

KW - Vehicles Re-Routing

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A SUMO Based Evaluation of Road Incidents' Impact on Traffic Congestion Level in Smart Cities

Abstract

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UN SDGs

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