Traffic Signal Systems explores the science and management behind urban traffic control, vital for road safety and efficiency. It argues that effective systems require an integrated approach spanning engineering, technology, and management, creating safer and more sustainable urban environments. The book highlights that these systems are not just about timing, but are complex adaptive systems.
Understanding traffic flow theory, intersection design, and signal timing principles forms the foundation, progressing to modern technologies like vehicle detection and adaptive signal control.
The book emphasizes a systems-level perspective, advocating for data-driven decision-making to optimize signal timing and improve overall performance. It presents real-world case studies and the latest research, drawing upon statistical analysis and simulation modeling. For example, the book discusses how adaptive signal control algorithms can dynamically adjust signal timings based on real-time traffic conditions, reducing congestion.
It culminates in management strategies, covering performance measurement and integration with broader transportation networks.
Written for transportation engineers, urban planners, and students, Traffic Signal Systems bridges theoretical concepts and practical applications. The book progresses from fundamental concepts to modern technologies and management strategies, offering a comprehensive understanding of how traffic signals work and improve urban mobility. It also addresses ongoing debates, such as the role of AI in traffic signal control.
