首页|Studies in the Area of Traffic Engineering Reported from Purdue University (Netw ork Macroscopic Fundamental Diagram-informed Graph Learning for Traffic State Im putation)
Studies in the Area of Traffic Engineering Reported from Purdue University (Netw ork Macroscopic Fundamental Diagram-informed Graph Learning for Traffic State Im putation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Engineering - Traffic Engineering have been published. Accordingto news reporting originatin g in West Lafayette, Indiana, by NewsRx journalists, research stated,“Traffic s tate imputation refers to the estimation of missing values of traffic variables, such as flow rateand traffic density, using available data. It furnishes compr ehensive traffic context for various operationtasks such as vehicle routing, an d enables us to augment existing datasets (e.g., PeMS, UTD19, UberMovement) for diverse theoretical and practical investigations.”
West LafayetteIndianaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesEngineeringGraph Le arningMachine LearningTraffic EngineeringPurdue University
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