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Generating routes for autonomous driving in vehicle-to-infrastructure communications

  • Jianjun Yang(corresponding author)
    ,
  • Tinggui Chen
    ,
  • Bryson Payne
    ,
  • Ping Guo
    ,
  • ,
  • Juan Guo
*Corresponding author for this work
  • University of North Georgia
    ,
  • Zhejiang Gongshang University
    ,
  • University of Illinois at Springfield
    ,
Research Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

The study of vehicular networks has attracted considerable interest in academia and the industry. In the broad area, connected vehicles and autonomous driving are technologies based on wireless data communication between vehicles or between vehicles and infrastructures. A Vehicle-to-Infrastructure (V2I) system consists of communications and computing over vehicles and related infrastructures. In such a system, wireless sensors are installed in some selected points along roads or driving areas. In autonomous driving, it is crucial for a vehicle to figure out the ideal routes by the communications between its equipped sensors and infrastructures then the vehicle is automatically moving along the routes. In this paper, we propose a Bezier curve based recursive algorithm, which effectively creates routes for vehicles through the communication between the On-Board Unit (OBU) and the Road-Side Units (RSUs). In addition, this approach generates a very low overhead. We conduct simulations to test the proposed algorithm in various situations. The experiment results demonstrate that our algorithm creates almost ideal routes.

Bibliographic Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 444-451 (8 pages)

Journal (Volume, Issue Number)

Digital Communications and Networks (Volume 6, Issue 4)

Publication milestones

  • Published - 11/2020

Publication status

Published - 11/2020

ISSN

2468-5925

Publication IDs

  • Scopus: 85086440954