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Software Defined Networking for Emergency Traffic Management in Smart Cities

Nikbakht Bideh, Pegah LU orcid ; Paladi, Nicolae LU orcid and Hell, Martin LU (2020) IWVSC'2019 In Advances in Intelligent Systems and Computing, AISC 1144. p.59-70
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Vehicular Ad-hoc Networks for Smart Cities : Third International Workshop, 2019 - Third International Workshop, 2019
series title
Advances in Intelligent Systems and Computing, AISC
editor
Laouiti, Anis ; Qayyum, Amir and Saad, Mohamad Naufal Mohamad
volume
1144
pages
12 pages
publisher
Springer
conference name
IWVSC'2019
conference dates
2019-11-13 - 2019-11-13
external identifiers
  • scopus:85084924409
ISSN
2194-5357
2194-5365
ISBN
978-981-15-3750-9
978-981-15-3749-3
DOI
10.1007/978-981-15-3750-9_5
project
Säkra mjukvaruuppdateringar för den smarta staden
language
English
LU publication?
yes
id
a7f51c92-c518-45cf-a531-32a63ffba6fc
date added to LUP
2019-09-25 13:09:26
date last changed
2024-05-15 21:03:54
@inproceedings{a7f51c92-c518-45cf-a531-32a63ffba6fc,
  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.}},
  author       = {{Nikbakht Bideh, Pegah and Paladi, Nicolae and Hell, Martin}},
  booktitle    = {{Vehicular Ad-hoc Networks for Smart Cities : Third International Workshop, 2019}},
  editor       = {{Laouiti, Anis and Qayyum, Amir and Saad, Mohamad Naufal Mohamad}},
  isbn         = {{978-981-15-3750-9}},
  issn         = {{2194-5357}},
  language     = {{eng}},
  month        = {{04}},
  pages        = {{59--70}},
  publisher    = {{Springer}},
  series       = {{Advances in Intelligent Systems and Computing, AISC}},
  title        = {{Software Defined Networking for Emergency Traffic Management in Smart Cities}},
  url          = {{https://lup.lub.lu.se/search/files/78601417/SDN_paper.pdf}},
  doi          = {{10.1007/978-981-15-3750-9_5}},
  volume       = {{1144}},
  year         = {{2020}},
}