摘要
在乘客需求沿公交线路离散分布的基础上,建立一种动态公交站距优化模型和计算方法.在公交线路沿线的每个交叉口及路段上的大型客流发生、吸引点处设置备选站点;根据地理信息系统的土地利用、开发强度等空间信息,将现有站点调查的上下乘客需求量或预测的线路OD客流量,分配到公交线路服务区域的各个需求段;以与站距有关的乘客步行到站时间价值、车内乘客运行时间价值和公交车辆运行时间价值之和最小为目标函数,用动态规划方法,在备选站点集中选取子集站点,使其满足目标函数.以苏州市区现有的一条公交线路为例,应用该方法对沿线各站点的间距进行优化,实践证明该方法有效.
Based on the fact that demand distributes discretely along bus route, a dynamic programming algorithm of optimizing bus stop spacing was developed. Every intersection and large demand entry point along the bus route were treated as a candidate stop location. With the information of land use and development intensity provided by GIS, passengers＇ demand surveyed or forecasted was distributed into every segment in the route. Considering passengers＇ walking time, on-vehicle traveling time, and buses＇ traveling time, the objective function was established. The dynamic programming algorithm was constructed to optimize bus stop locations. The model was applied to a bus route planning in Suzhou, and the results show that the optimizing method is efficient.
出处
《深圳大学学报（理工版）》
EI
CAS
北大核心
2007年第4期357-362,共6页
Journal of Shenzhen University(Science and Engineering)
基金
国家重点基础研究发展计划资助项目(2006CB705500)
国家"十五"重点科技攻关资助项目(2002BA404A04)
