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机译:动态交通条件,路径特征和环境条件对电动总线行程电力消耗预测的影响
Tsinghua Univ Tsinghua Berkeley Shenzhen Inst Shenzhen 518055 Peoples R China|Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Future Human Habitats Div Shenzhen 518055 Peoples R China;
Tsinghua Univ Tsinghua Berkeley Shenzhen Inst Shenzhen 518055 Peoples R China|Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Future Human Habitats Div Shenzhen 518055 Peoples R China|Tsinghua Univ Dept Automat Tsinghua Natl Lab Informat Sci & Technol TNList Beijing 100084 Peoples R China;
Tsinghua Univ Tsinghua Berkeley Shenzhen Inst Shenzhen 518055 Peoples R China|Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Future Human Habitats Div Shenzhen 518055 Peoples R China;
Tsinghua Univ Tsinghua Berkeley Shenzhen Inst Shenzhen 518055 Peoples R China|Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Future Human Habitats Div Shenzhen 518055 Peoples R China;
Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Future Human Habitats Div Shenzhen 518055 Peoples R China;
Electric bus; Trip-based electricity consumption prediction; Machine learning; Route characteristics; Dynamic traffic conditions; Environmental conditions;