Metaheuristics for Machine Learning

11Adapting Underground Parking for the Future: Sustainability and Shared Autonomous Vehicles

Vamsidhar Talasila¹*, Madala Pavan Pranav Sai¹, Gade Sri Raja Gopala Reddy¹, Vempati Pavan Kashyap¹, Gunda Karthik¹ and K. V. Panduranga Rao²

¹Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India

²Department of Computer Science and Engineering, Sree Vahini Institute of Science and Technology, Tiruvuru, India

Abstract

A significant field of worldwide science and technical innovation is the creation of shared autonomous vehicles (SAVs). SAVs’ ability to drastically minimize the requirement for parking is one of its most coveted qualities in urban areas. Particularly in densely populated metropolitan areas, the town’s underground parking space (UPS) is presently the biggest fixed-traffic area. The requirement for UPS renewals will become more urgent in the SAV situation. However, due to its unique form attributes, which are significantly constrained by outside factors, the UPS is challenging to renew, requiring aimed techniques and tactics. To gather information for this study, fieldwork was initially done to examine the geographical morphology and operating circumstances of typical UPSs in various parts of Ningbo. The time series assessment technique and functional substitution choice models for the sustainable renewal of subterranean parking were developed dependent on the driver status reaction and the multiple-purpose feature ...