Synergy of Artificial Intelligence and Network Infrastructure in Modern Automotive Control and Traffic Systems
Year: 2026
Type: article
Abstract: The integration of network connectivity within traffic control systems, when combined with the capabilities of automotive control frameworks, represents a fundamental shift in modern intelligent transportation networks. By fusing artificial intelligence algorithms with high-performance industrial networking solutions—such as Power over Ethernet (PoE), V2X communication architectures, and Time-Sensitive Networking (TSN)—the automotive and traffic sectors can overcome critical operational silos. Traditionally, components such as traffic signals, V2X data streams, incident response logs, and public transit records have operated in isolation, preventing unified corridor coordination and transit prioritization. Furthermore, the absence of real-time multi-source data integration deprives control centers of critical situational awareness during congestion or emergency events, while data loss impedes the deployment of predictive analytics.
Source: ГРААЛЬ НАУКИ
Authors: Ulvi Rafizade, Matin Mammadli
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7219784696