Pith. sign in

REVIEW

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

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2410.18983 v1 pith:MJP46TCJ submitted 2024-10-08 cs.HC

Xi Cheng , Tong Liu , Gaofeng Su , Chang Che , Chen Zhu , Ke Liu , Binze Cai , Xin Hu This is my paper
classification cs.HC
keywords parkingduringeventssystemassignmentassignmentscharacteristicslarge
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original 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.

Discussion (0). Sign in to comment.

Pith tools