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Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse

Chen Zhao, Xingyuan Dai, Yisheng Lv, Yonglin Tian, Yuhai Ren, Fei–Yue Wang

2022IEEE Intelligent Systems28 citationsDOI

Abstract

Smart cities are our aspiration for a better life where transportation intelligence is indispensable. Recent technological advances in intelligent transportation systems have opened up new possibilities for smart mobility in smart cities. Here we present TengYun, a transportation foundation model designed and developed with parallel learning and federated intelligence for our transportation metaverse called TransVerse. TengYun enables decentralized/distributed autonomous organizations with decentralized/ distributed operations, as well as various federated technologies, from federated security, federated control, federated management, federated services, to federated ecology for transportation intelligence in smart cities. An example for a federation of transportation transformers is discussed for illustrating the operating procedure of TengYun.

Topics & Concepts

Computer scienceIntelligent transportation systemAdvanced Traffic Management SystemComputer securityConvergence (economics)Transport engineeringEngineeringEconomic growthEconomicsTraffic Prediction and Management TechniquesVehicular Ad Hoc Networks (VANETs)Privacy-Preserving Technologies in Data
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