CaltechAUTHORS
  A Caltech Library Service

On the deployment of V2X roadside units for traffic prediction

Jiang, Lejun and Molnár, Tamás G. and Orosz, Gábor (2021) On the deployment of V2X roadside units for traffic prediction. Transportation Research Part C: Emerging Technologies, 129 . Art. No. 103238. ISSN 0968-090X. doi:10.1016/j.trc.2021.103238. https://resolver.caltech.edu/CaltechAUTHORS:20210630-141507439

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20210630-141507439

Abstract

In this paper, we evaluate the ability of connected roadside infrastructure to provide traffic predictions on highways based on the motion of connected vehicles. In particular, we establish metrics to quantify the amount of traffic prediction that is available from roadside units via vehicle-to-infrastructure (V2I) communication. We utilize analytical and numerical tools to evaluate these metrics as a function of (i) the location of the roadside units along the road, (ii) the communication range of the roadside units, and (iii) the penetration rate of connected vehicles on the road. We show that considerable amount of traffic predictions can be achieved even with sparsely distributed roadside units as distant as two thousand meters and with connected vehicle penetration rate as low as 2%. Based on the proposed metrics, we develop strategies for deploying roadside units along highways so that traffic prediction efficiency is maximized. Ultimately, the results of this paper may serve as a guideline for evaluation and deployment of connected roadside infrastructure.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.trc.2021.103238DOIArticle
ORCID:
AuthorORCID
Molnár, Tamás G.0000-0002-9379-7121
Orosz, Gábor0000-0002-9000-3736
Additional Information:© 2021 Elsevier Ltd. Received 23 October 2020, Revised 11 April 2021, Accepted 26 May 2021, Available online 22 June 2021. This research was partially supported by the University of Michigan’s Center of Connected and Automated Transportation through the US DOT grant 69A3551747105.
Funders:
Funding AgencyGrant Number
University of MichiganUNSPECIFIED
Department of Transportation69A3551747105
Subject Keywords:Vehicle-to-infrastructure connectivity; Roadside unit; Connected vehicle; Traffic prediction
DOI:10.1016/j.trc.2021.103238
Record Number:CaltechAUTHORS:20210630-141507439
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210630-141507439
Official Citation:Lejun Jiang, Tamás G. Molnár, Gábor Orosz, On the deployment of V2X roadside units for traffic prediction, Transportation Research Part C: Emerging Technologies, Volume 129, 2021, 103238, ISSN 0968-090X, https://doi.org/10.1016/j.trc.2021.103238. (https://www.sciencedirect.com/science/article/pii/S0968090X21002515)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:109664
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:30 Jun 2021 23:10
Last Modified:06 Jul 2021 22:01

Repository Staff Only: item control page