摘要
基于实时的城市路网交通流信息预测公路货运车辆的行程时间,据此可以获取公路货运场站实时的车辆信息,并依据实时检测的场站货源信息,对实时动态地到达货运站的车辆进行配货.
First of all the travel time of roa information of urban road network, thus cording to the real-time freight source inf d freight vehicle was predicted based on real-t the real-time vehicle information could be ob ormation of field sta vehicles, and they achieved freight transport station real-time tions, cargoes could be a ly and dynamically. ime traffic flow tained, and ac- llocatted to the
出处
《武汉理工大学学报（交通科学与工程版）》
2012年第4期680-682,共3页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金基金项目(批准号:60602020)
国家重点基础研究发展计划(973计划)项目(批准号:2006CB705501)资助
关键词
智能运输系统(ITS)
配货优化
行程时间预测
神经网络
解乘数
intelligent transport system
distribution optimization
journey time prediction
neuralnetwork
multiplier solution
