Smart Transportation: Real-Time Distributed Systems Improving Mobility and Safety

Abstract

Real-time distributed systems are fundamentally transforming urban transportation networks, creating smarter, more responsive infrastructure capable of addressing complex mobility challenges. This article examines how distributed computing architectures enable immediate analysis of traffic conditions, facilitate autonomous vehicle coordination, and enhance emergency response capabilities across transportation ecosystems. The technical foundations supporting these advancements include edge computing deployments, sensor networks, and communication protocols that collectively enable intelligent traffic management. The integration of these technologies into public transit systems, traffic signal controls, and safety applications demonstrates significant improvements in urban mobility efficiency. Through demonstration of implementation challenges such as connectivity reliability and latency requirements, alongside case studies from cities pioneering smart transportation initiatives, this article provides a comprehensive framework for understanding how real-time distributed systems revolutionizing transportation management are while promoting environmental sustainability and public safety.