Smart City Gnosys

Smart city article details

Title	Noncooperative And Cooperative Urban Intelligent Systems: Joint Logistic And Charging Incentive Mechanisms
ID_Doc	39364
Authors	Zhang S.; Zhu X.; Wang S.; Yu J.J.Q.; Ng D.W.K.
Year	2023
Published	IEEE Internet of Things Journal, 10, 13
DOI	http://dx.doi.org/10.1109/JIOT.2023.3244550
Abstract	Autonomous vehicles (AVs) have become an emerging crucial component of the intelligent transportation system (ITS) in modern smart cities. In particular, coordinated operations of AVs can potentially enhance the quality of public services, e.g., logistic and AV charging services. However, the joint logistic and AV charging scenario involves the sophisticated interactions between a large number of complicated agents, dynamic logistics, and electricity prices in real-world systems. Since AVs are individuals owned by different parties, the design of attractive incentive to motivate them to provide multiple public services becomes a fundamental issue. In this article, we develop an urban intelligent system (UIS) by exploiting the efficient incentive mechanisms, e.g., noncooperative and cooperative game-theoretic approaches, to motivate the AVs to provide logistic and charging services in UIS. For the noncooperative game approach, we formulate the interaction between the selfish AVs and the aggregator as a Stackelberg game. Meanwhile, the aggregator, known as the leader in the game, aims to decide the logistic and electricity trading prices, and then the AVs, executed as the followers, determine their service schedules. Furthermore, considering that all the players are willing to cooperate, we develop a cooperative potential game for the selfless AVs to maximize the social welfare of the UIS. These case studies demonstrate the effectiveness and practicability of proposed incentive mechanisms that can motivate EVs to provide high-quality logistic and charging services by maximizing their utilities. Also, both the proposed schemes provide significant system revenues than that of conventional system optimization-based approaches. © 2014 IEEE.
Author Keywords	Autonomous vehicles (AVs); frequency regulation; game theory; intelligent transportation systems (ITSs); logistic service; vehicle-to-grid (V2G)

Similar Articles

Id	Similarity	Authors	Title	Published
17670	0.881	Ghavami M.; Haeri M.; Kebriaei H.	Decentralized Pricing Mechanism For Traffic And Charging Station Management Of Evs In Smart Cities	IEEE Transactions on Intelligent Transportation Systems, 25, 6 (2024)
24104	0.87	Radakovic D.; Singh A.; Varde A.S.; Lal P.	Enriching Smart Cities By Optimizing Electric Vehicle Ride-Sharing Through Game Theory	Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 2022-October (2022)
27664	0.863	Ziad C.; Rajamani H.-S.; Manikas I.	Game-Theoretic Approach To Fleet Management For Vehicle To Grid Services	2019 IEEE 19th International Symposium on Signal Processing and Information Technology, ISSPIT 2019 (2019)
38094	0.861	Pok P.J.; Yeo H.; Woo S.	Multi-Agent Game-Theoretic Modelling Of Electric Vehicle Charging Behavior And Pricing Optimization In Dynamic Ecosystems	Procedia Computer Science, 257 (2025)
1879	0.859	Modarresi J.; Ahmadian A.; Diabat A.; Elkamel A.	A Game Theory Based Scheduling Approach For Charging Coordination Of Multiple Electric Vehicles Aggregators In Smart Cities	Energy, 313 (2024)
38088	0.858	Bachiri K.; Yahyaouy A.; Gualous H.; Malek M.; Bennani Y.; Makany P.; Rogovschi N.	Multi-Agent Ddpg Based Electric Vehicles Charging Station Recommendation	Energies, 16, 16 (2023)
7054	0.855	Chavhan S.; Gupta D.; Alkhayyat A.; Alharbi M.; Rodrigues J.J.P.C.	Ai-Empowered Game Theoretic-Enabled Dynamic Electric Vehicles Charging Price Scheme In Smart City	IEEE Systems Journal, 17, 4 (2023)
59693	0.854	Hui Y.; Su Z.; Luan T.H.	Unmanned Era: A Service Response Framework In Smart City	IEEE Transactions on Intelligent Transportation Systems, 23, 6 (2022)