TY - JOUR
T1 - Eco-Friendly Smart Car Parking Management System with Enhanced Sustainability
AU - Sakib, Nazmus
AU - Bakibillah, A. S.M.
AU - Susilawati, Susilawati
AU - Kamal, Md Abdus Samad
AU - Yamada, Kou
N1 - Funding Information:
The authors acknowledge financial support from the Japan Society for the Promotion of Science (JSPS) Grants-in-Aid for Scientific Research (C) 23K03898.
Publisher Copyright:
© 2024 by the authors.
PY - 2024/5/15
Y1 - 2024/5/15
N2 - Efficient car parking management systems that minimize environmental impacts while maximizing user comfort are highly demanding for a future sustainable society. Using electric or gasoline vehicle-type information, emerging computation and communication technologies open the opportunity to provide practical solutions to achieve such goals. This paper proposes an eco-friendly smart parking management system that optimally allocates the incoming vehicles to reduce overall emissions in closed parking facilities while providing comfort incentives to the users of electric vehicles (EVs). Specifically, upon arrival of a car, the most suitable parking spot is determined by minimizing an adaptive objective function that indirectly reflects anticipatory operation for the overall performance maximization of the parking facility using electric or gasoline vehicle-type information. The adaptive objective function includes a trade-off factor that tunes driving and walking distances, relating emissions and comfort to treat incoming vehicles appropriately. The proposed system is simulated for managing a model car parking facility in a shopping complex in Japan, and the aspects related to fuel consumption, CO2 emissions, and user comfort are evaluated and benchmarked with other standard parking management systems. The proposed system reduces CO2 emissions and fuel consumption and improves parking efficiency compared to the current parking management systems, while also prioritizing user comfort.
AB - Efficient car parking management systems that minimize environmental impacts while maximizing user comfort are highly demanding for a future sustainable society. Using electric or gasoline vehicle-type information, emerging computation and communication technologies open the opportunity to provide practical solutions to achieve such goals. This paper proposes an eco-friendly smart parking management system that optimally allocates the incoming vehicles to reduce overall emissions in closed parking facilities while providing comfort incentives to the users of electric vehicles (EVs). Specifically, upon arrival of a car, the most suitable parking spot is determined by minimizing an adaptive objective function that indirectly reflects anticipatory operation for the overall performance maximization of the parking facility using electric or gasoline vehicle-type information. The adaptive objective function includes a trade-off factor that tunes driving and walking distances, relating emissions and comfort to treat incoming vehicles appropriately. The proposed system is simulated for managing a model car parking facility in a shopping complex in Japan, and the aspects related to fuel consumption, CO2 emissions, and user comfort are evaluated and benchmarked with other standard parking management systems. The proposed system reduces CO2 emissions and fuel consumption and improves parking efficiency compared to the current parking management systems, while also prioritizing user comfort.
KW - eco-friendly parking management
KW - electric vehicles
KW - smart city sustainable transportation
KW - user comfort
UR - http://www.scopus.com/inward/record.url?scp=85194377366&partnerID=8YFLogxK
U2 - 10.3390/su16104145
DO - 10.3390/su16104145
M3 - Article
AN - SCOPUS:85194377366
SN - 2071-1050
VL - 16
JO - Sustainability
JF - Sustainability
IS - 10
M1 - 4145
ER -
