Robotics & Machine Learning Daily News2024,Issue(Jan.9) :13-14.

Findings from Tongji University in Intelligent Transport Systems Reported (Lane-level Short-term Travel Speed Prediction for Urban Expressways: an Attentive Spatio-temporal Deep Learning Approach)

Robotics & Machine Learning Daily News2024,Issue(Jan.9) :13-14.

Findings from Tongji University in Intelligent Transport Systems Reported (Lane-level Short-term Travel Speed Prediction for Urban Expressways: an Attentive Spatio-temporal Deep Learning Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Fresh data on Transportation - Intelligent Transport Systems are presented in a new report.According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, researchstated, “Numerous efforts have been made to address the section-level travel speed prediction problem.However, section-level predictions can hardly be used for fine-grained applications, such as lane managementand lane-level navigation.”

Key words

Shanghai/People’s Republic of China/Asia/Intelligent Transport Systems/Transportation/Tongji University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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