首页|Findings in the Area of Intelligent Transport Systems Reported from Beijing Jiao tong University (A Fuel Consumption Model for Mixed Traffic Flow In Multiple Con nected and Autonomous Scenarios)
Findings in the Area of Intelligent Transport Systems Reported from Beijing Jiao tong University (A Fuel Consumption Model for Mixed Traffic Flow In Multiple Con nected and Autonomous Scenarios)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Transportation - Intelligent Trans port Systems is now available.According to news reporting from Beijing, People’ s Republic of China, by NewsRx journalists, research stated, “The potential incr ease/decrease in energy consumption of traffic operation modes is a hot topic in the studies of connected and autonomous vehicles (CAVs), but there are few theo retical studies on the fuel consumption of human driving vehicles (HDVs) and CAV mixed platoon as a result of limited data.Based on the power distribution of l ight-duty vehicles, this study developed a fuel consumption model for HDV and CA V mixed platoons by theoretical hypothesis considering the oscillation along wit h the platoon.”Funders for this research include National Key R&D Program of China , National Natural Science Foundation of China (NSFC).
BeijingPeople’s Republic of ChinaAsi aIntelligent Transport SystemsTransportationBeijing Jiaotong University
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