NDLI: Optimal storage and loading zones within surface parking facilities for privately owned automated vehicles

Content Provider	IET Digital Library
Author	Kong, You Vine, Scott Le Liu, Xiaobo
Abstract	There is much speculation about the prospective impacts of automated vehicles (AVs) on parking supply and behaviour, however the literature contains little quantitative evidence. In this study, we develop a mixed-integer non-linear optimisation (MINLP) model of revenue maximisation to design parking facility layouts for privately-owned automated cars that include separate vehicle-storage and drop-off/pick-up zones (DOPU, or alternatively termed “PUDO zones”). The control variable is the allocation of space between these two competing uses. The model balances between revenue derived from parking (including revenue during activity time) and costs associated with the range of AVs’ parking and loading/unloading activities. Via numerical analysis of an archetypal shopping centre's parking facility, the authors demonstrate that the model responds intuitively to the stimulus of systematically varying the input parameters. This study is intended to provide an incremental advance to support researchers and practitioners tasked with quantifying the impacts of AVs on the parking system.
Starting Page	1754
Ending Page	1760
Page Count	7
ISSN	1751956X
Volume Number	13
e-ISSN	17519578
Issue Number	Issue 12, Dec (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/13/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2019.0099
Journal	IET Intelligent Transport Systems
Publisher Date	2019-08-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Activity Time Archetypal Shopping Centre AV Parking Control Variable Design Engineering Integer Programming Mixed-integer Nonlinear Optimisation Mobile Robots Nonlinear Programming Optimal Loading Zones Optimal Storage Zones Optimisation Parking Facility Layout Design Parking Supply Privately Owned Automated Vehicle Revenue Maximisation Road Traffic Control Robot And Manipulator Mechanics Separate Vehicle-storage Surface Parking Facilities
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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