The University of Southampton
University of Southampton Institutional Repository

A Markov jump process model for urban vehicular mobility: modeling and application

A Markov jump process model for urban vehicular mobility: modeling and application
A Markov jump process model for urban vehicular mobility: modeling and application
Vehicular networks have been attracting increasing attention recently from both the industry and research communities. One of the challenges in this area is understanding vehicular mobility, which is vital for developing accurate and realistic mobility models to aid the vehicular communication and network design and evaluation. Most of the existing works mainly focus on designing microscopic level models that describe the individual mobility behaviors. In this paper, we explore the use of Markov jump process to model the macroscopic level vehicular mobility. Our proposed simple model can accurately describe the vehicular mobility and, moreover, it can predict various measures of network-level performance, such as the vehicular distribution, and vehicular-level performance, such as average sojourn time in each area and the number of sojourned areas in the networks. Model validation based on two large scale urban city vehicular motion traces confirms that this simple model can accurately predict a number of system metrics crucial for vehicular network performance evaluation. Furthermore, we propose two applications to illustrate that the proposed model is effective in analysis of system-level performance and dimensioning for vehicular networks.
1536-1233
1911-1926
Li, Yong
0817e950-114f-47f3-aefe-74bf9ec0e2a3
Jin, Depeng
d5ef5d7e-82a7-4950-85cf-800fe7794cc5
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Hui, Pan
f89491e3-a0ed-4475-a0ee-a874e3514e98
Zeng, Lieguang
7c5984b7-b38d-44a1-a1f5-66f2b87e6ff9
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Li, Yong
0817e950-114f-47f3-aefe-74bf9ec0e2a3
Jin, Depeng
d5ef5d7e-82a7-4950-85cf-800fe7794cc5
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Hui, Pan
f89491e3-a0ed-4475-a0ee-a874e3514e98
Zeng, Lieguang
7c5984b7-b38d-44a1-a1f5-66f2b87e6ff9
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Li, Yong, Jin, Depeng, Wang, Zhaocheng, Hui, Pan, Zeng, Lieguang and Chen, Sheng (2014) A Markov jump process model for urban vehicular mobility: modeling and application. IEEE Transactions on Mobile Computing, 13 (9), 1911-1926. (doi:10.1109/TMC.2013.159).

Record type: Article

Abstract

Vehicular networks have been attracting increasing attention recently from both the industry and research communities. One of the challenges in this area is understanding vehicular mobility, which is vital for developing accurate and realistic mobility models to aid the vehicular communication and network design and evaluation. Most of the existing works mainly focus on designing microscopic level models that describe the individual mobility behaviors. In this paper, we explore the use of Markov jump process to model the macroscopic level vehicular mobility. Our proposed simple model can accurately describe the vehicular mobility and, moreover, it can predict various measures of network-level performance, such as the vehicular distribution, and vehicular-level performance, such as average sojourn time in each area and the number of sojourned areas in the networks. Model validation based on two large scale urban city vehicular motion traces confirms that this simple model can accurately predict a number of system metrics crucial for vehicular network performance evaluation. Furthermore, we propose two applications to illustrate that the proposed model is effective in analysis of system-level performance and dimensioning for vehicular networks.

Text
TMC2014-Sept.pdf - Version of Record
Restricted to Repository staff only
Request a copy

More information

Published date: September 2014
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 367622
URI: http://eprints.soton.ac.uk/id/eprint/367622
ISSN: 1536-1233
PURE UUID: ac98d44c-78ed-4262-8a30-1a322751cdce

Catalogue record

Date deposited: 06 Aug 2014 09:52
Last modified: 19 Jul 2019 21:06

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×