Traffic Assignment

Traffic assignment aims to optimize the distribution of vehicles across a transportation network, minimizing congestion and travel times. Current research focuses on developing more accurate and efficient models, incorporating dynamic traffic conditions, and leveraging data-driven approaches like graph neural networks and machine learning to predict and manage traffic flow, often integrating these with optimization algorithms such as genetic algorithms and stochastic gradient descent. These advancements are crucial for improving urban planning, traffic management, and the design of intelligent transportation systems, leading to more efficient and sustainable transportation networks.