Document Type
Article
Publication Title
Digital Communications and Networks
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.
Pages
444-451
html
DOI
https://doi.org/10.1016/j.dcan.2020.04.005
Volume
6
Issue
4
Publication Date
11-2020
Keywords
autonomous driving, Bezier curve, on board unit, recursive algorithm, road side unit, vehicles and infrastructure
Disciplines
Computer Sciences | Theory and Algorithms
ISSN
2468-5925
Recommended Citation
Yang, J., Chen, T., Payne, B., Guo, P., Zhang, Y., & Guo, J.. (2020). Generating routes for autonomous driving in vehicle-to-infrastructure communications. Digital communications and networks, 6(4), 444–451. https://doi.org/10.1016/j.dcan.2020.04.005
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