Acquisition of Relative Trajectories of Surrounding Vehicles using GPS and SRC based V2V Communication with Lane Level Resolution

Zhiyuan Peng; Shah Hussain; M. I. Hayee; Max Donath

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Paper

Acquisition of Relative Trajectories of Surrounding Vehicles using GPS and SRC based V2V Communication with Lane Level Resolution

Topics: Connected Services; Cooperative Driving and Traffic Management; Mobility and the Internet of Vehicles; V2V, V2I, V2X

In Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS - Volume 1, 242-251, 2017 , Porto, Portugal

Authors: Zhiyuan Peng ¹ ; Shah Hussain ¹ ; M. I. Hayee ¹ and Max Donath ²

Affiliations: ¹ University of Minnesota Duluth, United States ; ² University of Minnesota Twin Cities, United States

Keyword(s): Connected vehicle technology, V2V communication, DSRC, Relative trajectory, Relative distance accuracy

Abstract: Due to the anticipated benefits of connected vehicle technology, the Intelligent Transportation Systems Joint Program Office (ITSJPO) of the US Department of Transportation continues to emphasize the need for dedicated short range communication (DSRC) based vehicle-to-vehicle (V2V) and/or vehicle-to-infrastructure (V2I) communication to enhance driver safety and traffic mobility. To take full advantage of connected vehicle technology in most safety applications, precise vehicle positioning information is needed in addition to V2V communication. Many techniques, such as vision- or sensor-based systems and differential GPS receivers, can obtain the precise absolute position of a vehicle at the expense of cost and complexity. However, some critical safety applications such as merge-assist or lane-change-assist systems require only the relative positions of surrounding vehicles with lane-level resolution so that a given vehicle can differentiate the vehicles in its own lane from the vehi cles in adjacent lanes. We have adopted a simple approach to acquire accurate relative trajectories of surrounding vehicles using standard GPS receivers and DSRC-based V2V communication. Using this approach, we have conducted field tests to successfully acquire relative trajectories of vehicles traveling in multiple lanes towards a merging junction with an accuracy less than half of the lane width. The achieved accuracy level of the relative trajectory was sufficient to differentiate vehicles traveling in adjacent lanes of a multiple-lane freeway. (More)

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Paper citation in several formats:

Peng, Z.; Hussain, S.; Hayee, M. and Donath, M. (2017). Acquisition of Relative Trajectories of Surrounding Vehicles using GPS and SRC based V2V Communication with Lane Level Resolution. In Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-242-4; ISSN 2184-495X, SciTePress, pages 242-251. DOI: 10.5220/0006304202420251

@conference{vehits17,
author={Zhiyuan Peng. and Shah Hussain. and M. I. Hayee. and Max Donath.},
title={Acquisition of Relative Trajectories of Surrounding Vehicles using GPS and SRC based V2V Communication with Lane Level Resolution},
booktitle={Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2017},
pages={242-251},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006304202420251},
isbn={978-989-758-242-4},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Acquisition of Relative Trajectories of Surrounding Vehicles using GPS and SRC based V2V Communication with Lane Level Resolution
SN - 978-989-758-242-4
IS - 2184-495X
AU - Peng, Z.
AU - Hussain, S.
AU - Hayee, M.
AU - Donath, M.
PY - 2017
SP - 242
EP - 251
DO - 10.5220/0006304202420251
PB - SciTePress