Software Defined Networking for Emergency Traffic Management in Smart Cities
(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:
https://lup.lub.lu.se/record/a7f51c92-c518-45cf-a531-32a63ffba6fc
- author
- Nikbakht Bideh, Pegah LU ; Paladi, Nicolae LU and Hell, Martin LU
- organization
- publishing date
- 2020-04-08
- 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
- 2024-09-18 10:16:49
@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}}, }