Title: Efficient parking control algorithms for self-driving cars

Authors: Shahroz Tariq; Hyunsoo Choi; Heemin Park; Jae Won Lee

Addresses: Department of Computer Science, Stony Brook University, Stony Brook, NY 11794, USA; Department of Computer Science, The State University of New York, Incheon 21985, South Korea ' Korea Electronics Technology Institute, 11, World Cup buk-ro 54-gil, Mapo-gu, Seoul 03924, South Korea ' Department of Software, Sangmyung University, Cheonan 31066, South Korea ' School of Information Technology, Sungshin Women's University, Seoul 02844, South Korea

Abstract: We explored the problems which will soon arise while parking in car parks. These include structure of parking lot suitable for autonomous cars, finding the closest parking slot available, and navigation to the location. In this paper, we explored the problems which are soon to be faced while parking autonomous cars in parking lots. We provide two solutions for two different kind of parking method which are named as guided conventional parking and guided blocked parking. Both methods use a central server and the graph of the parking lot to guide the cars to the closest parking slots. With experiments, we have shown that our proposed methods should be effective for the guided parking for self-driving cars. We also created simulations to visually analyse the changes made in the parking lot at each step of the process. We compared both solutions and discussed their trade-offs in detail.

Keywords: self-driving cars; autonomous vehicle; intelligent parking.

DOI: 10.1504/IJITST.2019.101829

International Journal of Internet Technology and Secured Transactions, 2019 Vol.9 No.3, pp.332 - 352

Received: 20 Apr 2018
Accepted: 28 Jul 2018

Published online: 28 Aug 2019 *

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