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Smart Navigation System for Parking Assignment at Large Events: Incorporating Heterogeneous Driver Characteristics
- 1 Cornell University, NY, USA
- 2 University of Illinois at Urbana-Champaign, IL, USA
- 3 University of California at Berkeley, CA, USA
- 4 University of Michigan, Ann Arbor, MI, USA
- 5 University of California at Berkeley, CA, USA
- 6 Georgia Institute of Technology, GA, USA
- 7 The George Washington University, DC, USA
- 8 Tsinghua University, Beijing, China
* Author to whom correspondence should be addressed.
Abstract
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.
Keywords
Keywords: Smart Parking Systems, Parking Assignment, Diverse Driver Behavior.
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Cite this article
Cheng,X.;Liu,T.;Su,G.;Hu,X.;Liu,K.;Cai,B.;Che,C.;Zhu,C. (2024).Smart Navigation System for Parking Assignment at Large Events: Incorporating Heterogeneous Driver Characteristics.Theoretical and Natural Science,56,112-117.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2nd International Conference on Applied Physics and Mathematical Modeling
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