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

TL;DR

This paper presents a smart navigation system that optimizes parking assignments during large events by considering diverse driver characteristics, validated through simulations in a real-world scenario.

Contribution

It introduces a novel parking assignment approach using a mixed search algorithm that accounts for heterogeneous driver traits during major events.

Findings

Improved parking assignment efficiency in simulations

Effective handling of diverse driver preferences

Potential for reducing congestion during large events

Abstract

Parking challenges escalate significantly during large events such as concerts and sports games, yet few studies address dynamic parking lot assignments in these occasions. This paper introduces a smart navigation system designed to optimize parking assignments efficiently during major events, employing a mixed search algorithm that considers diverse drivers characteristics. We validated our system through simulations conducted in Berkeley, CA during the "Big Game" showcasing the advantages of our novel parking assignment approach.