Pedestrian route choice refers to the problem of modeling and predicting how individual pedestrians or crowds select paths through a shared walking environment, balancing objectives such as minimizing travel time or distance against comfort, congestion avoidance, and behavioral preferences. In continuum-level approaches such as Hughes' dynamic model, route choice emerges from a global optimization principle over a potential field that encodes crowd density and discomfort, while microscopic approaches such as the social force model treat it as the outcome of locally acting attractive and repulsive forces representing destinations, other pedestrians, and obstacles. Accurate route choice modeling is fundamental to pedestrian flow research because it determines how density and velocity fields evolve in space and time, directly affecting predictions of congestion, evacuation efficiency, and facility design, with key variants distinguished by whether decisions are modeled as globally rational, locally reactive, or stochastically influenced by individual behavioral heterogeneity.
Source Papers
- A high-resolution meshfree particle method for numerical investigation of second-order macroscopic pedestrian flow models ↗ — A high-resolution meshfree particle method for numerical inv
- Continuum theory for pedestrian traffic flow: Local route choice modelling and its implications ↗ — Continuum theory for pedestrian traffic flow: Local route ch
- Revisiting Hughes’ dynamic continuum model for pedestrian flow and the development of an efficient solution algorithm ↗ — Revisiting Hughes’ dynamic continuum model for pedestrian fl
- Social force model for pedestrian dynamics ↗ — Social force model for pedestrian dynamics
- State-of-the-art crowd motion simulation models ↗ — State-of-the-art crowd motion simulation models