Transportation Network Analysis for Urban Planning

Modern cities rely on efficient transit systems, yet designing and managing these networks requires a deep understanding of traffic flow, routing algorithms, and demand forecasting. This course provides a comprehensive introduction to transportation network analysis, equipping you with the mathematical and analytical tools needed to solve real-world transit challenges. You will transition from understanding basic network elements to modeling complex traffic equilibria and optimizing urban mobility patterns. What you'll learn: Understand foundational network terminology, graph theory, and representation methods for transit systems; Analyze traffic flow dynamics, capacity constraints, and bottleneck behaviors; Apply the classic four-step transportation planning model to forecast travel demand; Calculate user equilibrium and system optimum states using mathematical programming; Evaluate network performance, reliability, and resilience under various congestion scenarios; Explore modern smart-city routing patterns, including real-time data integration and electric vehicle charging constraints. This text-based course starts with fundamental concepts of network geometry and traffic flow theory before guiding you through advanced assignment algorithms and network design problems. It is designed for beginners, engineering students, and aspiring urban planners with no prior background in network modeling. Start analyzing and optimizing the transit networks of tomorrow today.