Graph Optimized Data Offloading for Crowd-AI Hybrid Urban Tracking in Intelligent Transportation Systems

Urban tracking plays a vital role for people's urban life in intelligent transportation systems, e.g., public safety, case investigation, finding missing items, etc. However, the current tracking methods consume a large amount of communication and computing resources since they mainly offload a...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems Jg. 24; H. 1; S. 1075 - 1087
Hauptverfasser:	Wang, Pengfei, Pan, Yuzhu, Lin, Chi, Qi, Heng, Ren, Jiankang, Wang, Ning, Yu, Zhen, Zhou, Dongsheng, Zhang, Qiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Artificial intelligence Cameras Costs crowd-AI data offloading graph computing Hybrid systems Intelligent transportation systems Public safety Resource management Sensors Target tracking task allocation Task analysis Tracking Urban tracking Videos
ISSN:	1524-9050, 1558-0016
Online-Zugang:	Volltext
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