首页|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)
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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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.”
ShanghaiPeople’s Republic of ChinaAsiaIntelligent Transport SystemsTransportationTongji University
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