The Role of IOT in Enhancing Autonomous Vehicle Performance

The convergence of Internet of Things and autonomous vehicle technologies marks a major advancement in engineering and urban mobility. This paper explores how interconnected sensors and devices enable AVs to evolve from operating independently to functioning as part of an intelligent, integrated transportation network. Through IoT, AVs can gather and interpret large volumes of real-time data on traffic patterns, road conditions, and environmental factors, improving both safety and route efficiency. Central to this integration are Vehicle-to-Infrastructure (V2I) links that support navigation in complex urban settings, Vehicle-to- Vehicle (V2V) communication that enables coordinated driving, and edge computing that ensures rapid, low-latency decision- making. The paper also highlights the challenges of this connectivity, including the demand for strong cybersecurity to protect against vulnerabilities and the complexity of handling massive data flows.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-20
DOI
https://doi.org/10.5281/zenodo.17659400
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of IOT in Enhancing Autonomous Vehicle Performance

Zenodo (CERN European Organization for Nuclear Research)
Impact of AI and Big Data on Business and Society
article

The Role of IOT in Enhancing Autonomous Vehicle Performance

article en

Abstract

The convergence of Internet of Things and autonomous vehicle technologies marks a major advancement in engineering and urban mobility. This paper explores how interconnected sensors and devices enable AVs to evolve from operating independently to functioning as part of an intelligent, integrated transportation network. Through IoT, AVs can gather and interpret large volumes of real-time data on traffic patterns, road conditions, and environmental factors, improving both safety and route efficiency. Central to this integration are Vehicle-to-Infrastructure (V2I) links that support navigation in complex urban settings, Vehicle-to- Vehicle (V2V) communication that enables coordinated driving, and edge computing that ensures rapid, low-latency decision- making. The paper also highlights the challenges of this connectivity, including the demand for strong cybersecurity to protect against vulnerabilities and the complexity of handling massive data flows.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 36%
Impact of AI and Big Data on Business and Society
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