Smart Navigation System for Parking Assignment at Large Events: Incorporating Heterogeneous Driver Characteristics

TL;DR

This paper presents a smart navigation system for dynamic parking assignment during large events, leveraging a mixed search algorithm that considers diverse driver characteristics to optimize parking efficiency.

Contribution

It introduces a novel parking assignment approach that incorporates heterogeneous driver traits and validates it through simulations in a real-world event scenario.

Findings

Improved parking assignment efficiency during large events.

Demonstrated system effectiveness through simulations in Berkeley during the 'Big Game'.

Highlights the importance of considering driver heterogeneity in parking systems.

Abstract

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.