Impact of beaconing policies on traffic density estimation accuracy in traffic information systems
(2014) World of Wireless, Mobile and Multimedia Networks (WoWMoM) p.1-6- Abstract
- Intelligent transport information systems (TIS) are one of the most rapidly emerging applications of wireless vehicular communications using DSRC/WAVE technology. A core function in a TIS is the estimation of traffic density using beacons transmitted by individual vehicles, subsequently used for purposes such as traffic light control or incident detection. In this paper, we conduct an in-depth study on how the accuracy of traffic density estimation depends on various parameters of the wireless beacons transmission policy, such as beaconing rate and timing. Unlike many other studies, our focus is entirely on the application-layer metric of density estimation accuracy, rather than low-layer metrics such as packet loss rate and throughput.... (More)
- Intelligent transport information systems (TIS) are one of the most rapidly emerging applications of wireless vehicular communications using DSRC/WAVE technology. A core function in a TIS is the estimation of traffic density using beacons transmitted by individual vehicles, subsequently used for purposes such as traffic light control or incident detection. In this paper, we conduct an in-depth study on how the accuracy of traffic density estimation depends on various parameters of the wireless beacons transmission policy, such as beaconing rate and timing. Unlike many other studies, our focus is entirely on the application-layer metric of density estimation accuracy, rather than low-layer metrics such as packet loss rate and throughput. Our results are evaluated over a wide range of traffic traces generated by a commercial microscopic traffic simulator (Paramics), corresponding to a typical urban scenario consisting of a signalized intersection of multiple-lane roads. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8056745
- author
- Bastani, Saeed LU ; Libman, Lavy and Waller, S. Travis
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- [Host publication title missing]
- pages
- 6 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- World of Wireless, Mobile and Multimedia Networks (WoWMoM)
- conference location
- Sydney, Australia
- conference dates
- 2014-06-16 - 2014-06-19
- external identifiers
-
- scopus:84908895281
- DOI
- 10.1109/WoWMoM.2014.6918963
- project
- ELLIIT LU P01: WP2 Networking solutions
- language
- English
- LU publication?
- no
- id
- 7fa25bc6-2cc6-4f61-94cc-a11fb73091ec (old id 8056745)
- date added to LUP
- 2016-04-04 10:14:26
- date last changed
- 2022-01-29 19:59:08
@inproceedings{7fa25bc6-2cc6-4f61-94cc-a11fb73091ec,
abstract = {{Intelligent transport information systems (TIS) are one of the most rapidly emerging applications of wireless vehicular communications using DSRC/WAVE technology. A core function in a TIS is the estimation of traffic density using beacons transmitted by individual vehicles, subsequently used for purposes such as traffic light control or incident detection. In this paper, we conduct an in-depth study on how the accuracy of traffic density estimation depends on various parameters of the wireless beacons transmission policy, such as beaconing rate and timing. Unlike many other studies, our focus is entirely on the application-layer metric of density estimation accuracy, rather than low-layer metrics such as packet loss rate and throughput. Our results are evaluated over a wide range of traffic traces generated by a commercial microscopic traffic simulator (Paramics), corresponding to a typical urban scenario consisting of a signalized intersection of multiple-lane roads.}},
author = {{Bastani, Saeed and Libman, Lavy and Waller, S. Travis}},
booktitle = {{[Host publication title missing]}},
language = {{eng}},
pages = {{1--6}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Impact of beaconing policies on traffic density estimation accuracy in traffic information systems}},
url = {{http://dx.doi.org/10.1109/WoWMoM.2014.6918963}},
doi = {{10.1109/WoWMoM.2014.6918963}},
year = {{2014}},
}