  Parking challenges escalate significantly during large events such as
concerts or sports games, yet few studies address dynamic parking lot
assignments for such occasions. This paper introduces a smart navigation system
designed to optimize parking assignments swiftly during large events, utilizing
a mixed search algorithm that accounts for the heterogeneous characteristics of
drivers. We conducted simulations in the Berkeley city area during the "Big
Game" to validate our system and demonstrate the benefits of our innovative
parking assignment approach.
