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 proceedingConference contributionpeer-review

12 Citations (Scopus)


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 languageEnglish
Title of host publicationProceedings of the 39th Annual IEEE Conference on Local Computer Networks, LCN 2014
EditorsNils Aschenbruck, Salil Kanhere, Kemal Akkaya
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages9
ISBN (Electronic)9781479937844, 9781479937820
Publication statusPublished - 20 Oct 2014
Externally publishedYes
Event39th Annual IEEE Conference on Local Computer Networks - Edmonton, Canada
Duration: 8 Sep 201411 Sep 2014
Conference number: 39


Conference39th Annual IEEE Conference on Local Computer Networks
Abbreviated titleLCN 2014

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