Cooperative Road and Lane Aware V2I Communication for Collision Avoidance in Autonomous Self-Driving Vehicles

Narayanam Sri Prakash; Panchala Venkata Naganjaneyulu; Sarath Kumar Annavarapu; N Renuka

doi:10.2478/ttj-2026-0021

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Cooperative Road and Lane Aware V2I Communication for Collision Avoidance in Autonomous Self-Driving Vehicles

Transport and Telecommunication Journal

Volume 27 (2026): Issue 3 (June 2026)

By: Narayanam Sri Prakash, Panchala Venkata Naganjaneyulu, Sarath Kumar Annavarapu and N Renuka

Open Access

|Jun 2026

Abstract

Autonomous self-driving vehicles are becoming more essential in research due to its features and implementation. Vehicle to Infrastructure (V2I) is a critical component in autonomous self-driving cars. With the proper implementation of V2I communication many road accidents can be prevented. The proposed work implements new cooperative algorithm that embeds road classification, lane marking detection and classification. The proposed algorithm uses Road Side Unit (RSU) and Dedicated Short Range Communication (DSRC) for V2I communication. This algorithm enhances the safety in lane changing with the incorporation of lane marking detection. The results clearly demonstrate the implementation of V2I communication with an acceptable efficiency of 99% that enhances the road safety.

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Articles in this issue

DOI: https://doi.org/10.2478/ttj-2026-0021 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160

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Language: English

Page range: 287 - 296

Published on: Jun 26, 2026

Published by: Transport and Telecommunication Institute

In partnership with: Paradigm Publishing Services

Keywords:

Lane detection,

lane marking classification,

inter vehicular communication,

Related subjects:

Introductions and overviews,

Engineering, other

© 2026 Narayanam Sri Prakash, Panchala Venkata Naganjaneyulu, Sarath Kumar Annavarapu, N Renuka, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 27 (2026): Issue 3 (June 2026)