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 proceeding › peer-review

24 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	39th Annual IEEE Conference on Local Computer Networks Workshops
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	702-710
Number of pages	9
ISBN (Electronic)	9781479937844
ISBN (Print)	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 Sept 2014 → 10 Sept 2014

Conference

Conference	39th Annual IEEE Conference on Local Computer Networks
Abbreviated title	LCN 2014
Country/Territory	Canada
City	Edmonton
Period	8/09/14 → 10/09/14

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

Keywords

ITS
Smart Transportation
Vehicles Re-Routing
SUMO
Road Incidents
Smart Cities

Access to Document

10.1109/LCNW.2014.6927724

Cite this

A SUMO Based Evaluation of Road Incidents' Impact on Traffic Congestion Level in Smart Cities. / Smith, David; Djahel, Soufiene; Murphy, John.
39th Annual IEEE Conference on Local Computer Networks Workshops. Institute of Electrical and Electronics Engineers Inc., 2014. p. 702-710.

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

Smith, D, Djahel, S & Murphy, J 2014, A SUMO Based Evaluation of Road Incidents' Impact on Traffic Congestion Level in Smart Cities. in 39th Annual IEEE Conference on Local Computer Networks Workshops. Institute of Electrical and Electronics Engineers Inc., pp. 702-710, 39th Annual IEEE Conference on Local Computer Networks, Edmonton, Canada, 8/09/14. 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, Smart Transportation, Vehicles Re-Routing, SUMO, Road Incidents, Smart Cities",

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

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note = "39th Annual IEEE Conference on Local Computer Networks, LCN 2014 ; Conference date: 08-09-2014 Through 10-09-2014",

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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.

KW - ITS

KW - Smart Transportation

KW - Vehicles Re-Routing

KW - SUMO

KW - Road Incidents

KW - Smart Cities

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DO - 10.1109/LCNW.2014.6927724

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BT - 39th Annual IEEE Conference on Local Computer Networks Workshops

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ER -

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

Abstract

Conference

UN SDGs

Keywords

Access to Document

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Cite this