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机译:基于随机森林和嵌套模型的高占用率收费车道动态定价策略
Nanjing Univ Sci & Technol, Dept Transportat Engn, Nanjing, Jiangsu, Peoples R China|Fukuoka Inst Technol, Dept Syst Management, Fukuoka, Fukuoka, Japan;
Nanjing Univ Sci & Technol, Dept Transportat Engn, Nanjing, Jiangsu, Peoples R China|Minist Publ Secur, Key Lab Urban ITS Technol Optimizat & Integrat, Hefei, Anhui, Peoples R China;
Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing, Jiangsu, Peoples R China;
Univ Washington, Dept Civil & Environm Engn, Seattle, WA 98195 USA;
road traffic; traffic engineering computing; road vehicles; road pricing (tolls); data analysis; intelligent transportation systems; random processes; pattern classification; dynamic pricing strategy; high occupancy toll lanes; high occupancy vehicle lanes; low occupancy vehicles; LOVs; general purpose lanes; toll data; Intelligent Transportation System technologies; HOT lane systems; random forest method; RF; nested model; lane choice behaviour prediction model;
机译:基于随机林和嵌套模型的高占用通行路线动态定价策略
机译:稳定的动态定价方案独立于高占用通道的车道选择模型
机译:高占用率收费通道的动态定价策略
机译:具有高占用率收费通道的智能交通系统的动态收费模型
机译:针对高占用率/收费线的动态,基于反馈的自校准收费算法的开发。
机译:随机森林能够从凝血酶生成动力学模型识别凝血动力学差异。
机译:用于高占用/收费巷的动态,反馈和自校准收费算法的动态,反馈和自校准收费算法