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Seongha Park

Government of the United States of America - Argonne National Laboratory

9700 S. Cass Avenue

Argonne, IL 60439

United States

  • Government of the United States of America - Argonne National Laboratory

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Edge-Computing Enabled Traffic State Estimation Based on Vehicle Tracking

Number of pages: 15 Posted: 05 Sep 2022
Seongha Park, Yongho Kim, Nicola Ferrier, Rajesh Sankaran, Pete Beckman, Joshua Auld and Aymeric Rousseau
Government of the United States of America - Argonne National Laboratory, Government of the United States of America - Argonne National Laboratory, Government of the United States of America - Argonne National Laboratory, Government of the United States of America - Argonne National Laboratory, Government of the United States of America - Argonne National Laboratory, Government of the United States of America - Argonne National Laboratory and Government of the United States of America - Argonne National Laboratory
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Traffic state, Machine learning