Software Defined Networking for Emergency Traffic Management in Smart Cities

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

Vehicle traffic management is becoming more complex due to increased traffic density in cities. Novel solutions are necessary for emergency vehicles, which despite growing congestion must be able to quickly reach their destination. Emergency vehicles are usually equipped with transmitters to control the traffic lights on their path and warn other vehicles with sirens. Transmitters are operated manually and, like sirens, have a limited range. Smart cities can make use of novel network models to facilitate traffic management. In this paper, we design a traffic management application leveraging Software Defined Network controllers for traffic preemption. The proposed application leverages the logical centralization of the SDN control plane to improve traffic management. Results from evaluating the application under five different scenarios indicate that emergency vehicles can reach their destination much faster, with very little effect on the surrounding traffic.

Details

Authors
Organisations
External organisations
  • Research Institutes of Sweden (RISE)
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Computer Systems
Original languageEnglish
Title of host publicationVehicular Ad-hoc Networks for Smart Cities
Subtitle of host publicationThird International Workshop, 2019
EditorsAnis Laouiti, Amir Qayyum, Mohamad Naufal Mohamad Saad
PublisherSpringer
Pages59-70
Number of pages12
ISBN (Electronic)978-981-15-3750-9
ISBN (Print)978-981-15-3749-3
Publication statusPublished - 2020 Apr 8
Publication categoryResearch
Peer-reviewedYes
EventIWVSC'2019: Third International Workshop on Vehicular Adhoc Networks for Smart Cities -
Duration: 2019 Nov 132019 Nov 13
http://www-lor.int-evry.fr/~laouiti/iwvsc2019/index.html

Publication series

NameAdvances in Intelligent Systems and Computing, AISC
PublisherSpringer
Volume1144
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Workshop

WorkshopIWVSC'2019
Period2019/11/132019/11/13
Internet address

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