IoT in Transportation Systems: Optimization and Vulnerabilities

Abstract

The rapid deployment of Internet of Things (IoT) technologies in transportation systems has significantly improved operational efficiency, safety, and passenger experience. Through real-time vehicle tracking, predictive maintenance, smart ticketing, and route optimization, transportation networks have become increasingly intelligent and data-driven. However, the same connectivity that enables optimization also introduces critical cybersecurity vulnerabilities. This study presents a detailed analysis of IoT-driven optimization techniques and associated cyber risks in transportation systems. Statistical growth trends and risk modeling are applied to evaluate adoption rates and incident escalation. A secure multi-layered architecture model is proposed to balance innovation with resilience.