Document Type
Postprint
Publication Date
2022
Journal / Book Title
2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI)
Abstract
Pillars of smart cities include smart environment, mobility and economy. We explore impacts on these to enhance smart cities, heading towards a smart planet. Our motivation emerges from the need to decarbonize transportation. In this context, ride-sharing companies deploy electric vehicles (EVs). These should be managed by various factors: battery demand, EV charging station location, service availability, and charging time. Ride-sharing EV s aim to maximize profits via more rides. Our paper explores game theory in AI here. We propose E-Ride-Minimax, adapting the Minimax algorithm, treating EV ride-sharing companies as players. We hypothesize one player choosing its next move via total passenger-travel distance (longer the distance, larger the profit); and another player via battery usage (ratio of total passenger-travel distance to vehicle-passenger distance: optimizing this ratio enables more travel without recharging). Experimental results reveal that rising passenger numbers yield maximum battery savings (e.g. rush hours / major events); followed by stable and falling numbers. Our findings indicate that E-Ride-Minimax can reduce battery usage in some circumstances by 64%, losing 1 % profit. This is vital, given global emphasis on climate change. It increases cost-effectiveness, consumer participation and passengers per mile; reduces energy use and greenhouse gas emissions; and thus helps decarbonize transportation.
DOI
10.1109/ICTAI56018.2022.00116
MSU Digital Commons Citation
Radakovic, Darko; Singh, Anuradha; Varde, Aparna S.; and Lal, Pankaj, "Enriching Smart Cities by Optimizing Electric Vehicle Ride-Sharing through Game Theory" (2022). Department of Earth and Environmental Studies Faculty Scholarship and Creative Works. 803.
https://digitalcommons.montclair.edu/earth-environ-studies-facpubs/803
Published Citation
D. Radakovic, A. Singh, A. S. Varde and P. Lal, "Enriching Smart Cities by Optimizing Electric Vehicle Ride-Sharing through Game Theory," 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI), Macao, China, 2022, pp. 755-759, doi: 10.1109/ICTAI56018.2022.00116.