摘要
根据外来客流进入城市中心的出行过程与机理,最小化所有客流出行(自城市外围到达市中心区域)的出行费用(私人车辆行驶时间与公交行驶时间总行程时间、换乘时间、停车费用等),建立、确定了各停车换乘点(P+R)处合理换乘量的双层规划模型,为各P+R的停车换乘诱导提供了依据,并给出模型的遗传算法求解方法。仿真示例证明了该方法的有效性。
After analyzing trip process from out of city to downtown, and for minimizing the total travel expenses（car travel time and public transportation travel time, transfer time, parking fee, etc.） of all traffic trips（from out of city to downtown city）, the bi-level programming model is established to determine park ＆ ride sites＇ transfer volume, which offers foundation for parking guidance on the passage. The solution method using genetic algorithm of the model is presented, and a simulation case shows the method is effective.
出处
《计算机工程》
CAS
CSCD
北大核心
2008年第4期201-202,206,共3页
Computer Engineering
基金
中南大学博士后科研基金资助项目
上海市科委基金资助项目(04dz05808)
关键词
停车换乘
双层模型
换乘量
遗传算法
Park＆Ride（P＋R）
bi-level programming model
transfer volume
genetic algorithm
