Vol. 3 No. 2 (2023): Journal of AI-Assisted Scientific Discovery
Articles

AI-Driven Systems for Autonomous Vehicle Traffic Flow Optimization and Control

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  • Dr. Andreas Petrou
Dr. Andreas Petrou
Professor of Electrical and Computer Engineering, Aristotle University of Thessaloniki (AUTH), Greece
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Published 30-12-2023

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How to Cite

[1]
Dr. Andreas Petrou, “AI-Driven Systems for Autonomous Vehicle Traffic Flow Optimization and Control”, Journal of AI-Assisted Scientific Discovery, vol. 3, no. 2, pp. 221–241, Dec. 2023, Accessed: Sep. 16, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/98

Abstract

A key challenge is expected to be the management of road congestion and traffic control [1]. The introduction of cooperative automation in mobility calls for new solution concepts for traffic management in cities, for which we present an Artificial Intelligence (AI) concept with the collective decision-making and optimization paradigm based on mediated and autonomous intelligent traffic control (MAITC) for traffic system-of-systems (TSS). As mobility can no longer only be seen as a technical act but as a complex socio-technical act with long-term interactions, AI needs to be seen and implemented from multiple perspectives, mirroring the adaptivity of human driving and traffic approaches. The inherently non-centralized configuration, and the richness and heterogeneity of each participant’s data set, allows the MAITC approach to assess the traffic system both from individual and collective system-of-systems perspectives. The concept has the potential to be incorporated into existing traffic systems and be linked to urban and city facilities.

Automotive vehicles and traffic management [2] have during the last few decades been developing systems which reduce the need for human driving assistance, and the automotive sector is approaching a serious move from traditional mechanistic automotive design to intelligence-embedded machine automation [3]. This development will potentially revolutionize the industry and world-wide interconnected road mobility in several different ways.

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