Design and simulation of an autonomous vehicle convoy system: Integration of V2X Communication, Sensor Fusion, and AI-Based Coordination

The evolution of intelligent transportation systems is steering the future of mobility toward fully autonomous vehicle convoys that leverage Vehicle-to-Everything (V2X) communication, sensor integration, and artificial intelligence. This study presents the design and simulation of an autonomous convoy system capable of performing coordinated driving tasks such as lane changing, merging, and collision avoidance. The system architecture comprises interconnected modules for perception, path planning, and control, all tested in a simulation environment. V2V and V2I communication protocols facilitate synchronized navigation and dynamic routing, while AI-based algorithms enable decision-making under varying traffic and environmental conditions. Results from simulated scenarios, including platooning and cooperative merging, demonstrate improvements in safety, fuel efficiency, and traffic throughput. This research contributes a modular and scalable framework for future deployment of autonomous convoys in smart transportation infrastructure.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.17481036
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
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article

Design and simulation of an autonomous vehicle convoy system: Integration of V2X Communication, Sensor Fusion, and AI-Based Coordination

Zenodo (CERN European Organization for Nuclear Research)
Vehicular Ad Hoc Networks (VANETs)
article

Design and simulation of an autonomous vehicle convoy system: Integration of V2X Communication, Sensor Fusion, and AI-Based Coordination

article en

Abstract

The evolution of intelligent transportation systems is steering the future of mobility toward fully autonomous vehicle convoys that leverage Vehicle-to-Everything (V2X) communication, sensor integration, and artificial intelligence. This study presents the design and simulation of an autonomous convoy system capable of performing coordinated driving tasks such as lane changing, merging, and collision avoidance. The system architecture comprises interconnected modules for perception, path planning, and control, all tested in a simulation environment. V2V and V2I communication protocols facilitate synchronized navigation and dynamic routing, while AI-based algorithms enable decision-making under varying traffic and environmental conditions. Results from simulated scenarios, including platooning and cooperative merging, demonstrate improvements in safety, fuel efficiency, and traffic throughput. This research contributes a modular and scalable framework for future deployment of autonomous convoys in smart transportation infrastructure.

Zenodo (CERN European Organization for Nuclear Research)
George Washington University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Vehicular Ad Hoc Networks (VANETs)
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Design and simulation of an autonomous vehicle convoy system: Integration of V2X Communication, Sensor Fusion, and AI-Based Coordination · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS