Abstract
We extend the class of pedestrian crowd models introduced by Lachapelle and Wolfram [Transp. Res. B: Methodol., 45 (2011), pp. 1572–1589] to allow for nonlocal crowd aversion and arbitrarily but finitely many interacting crowds. The new crowd aversion feature grants pedestrians a “personal space” where crowding is undesirable. We derive the model from a particle picture and treat it as a mean-field type game. Solutions to the mean-field type game are characterized via a Pontryagin-type maximum principle. The behavior of pedestrians acting under nonlocal crowd aversion is illustrated by a numerical simulation.
Original language | English (US) |
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Pages (from-to) | 434-455 |
Number of pages | 22 |
Journal | SIAM Journal on Control and Optimization |
Volume | 56 |
Issue number | 1 |
DOIs | |
State | Published - 2018 |
Keywords
- Crowd aversion
- Crowd dynamics
- Interacting populations
- Mean-field approximation
- Mean-field type game
- Optimal control
ASJC Scopus subject areas
- Control and Optimization
- Applied Mathematics