基于有向层次模型的城市常规公交出行路径优化
Urban Bus Trip Optimization Based on Transit Data Model at Directional Level
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摘要: 基于GIS多层次的公共交通实体数据模型,引入了基于距离的换乘延误,对公交网络要素属性逐步更新,提出了以换乘可比距离为依据、循环优化的分析方法。城市公共交通规划中的分配模型及出行优化过程中都需要考虑公交换乘问题,传统的处理方式一般不考虑换乘延误或采用平均换乘延误进行估算,难以精确地获得最优公交出行路径的换乘信息。基于空间数据建模技术,可以对公交实体要素进行多层次表达,其中有向层次数据模型为精确计算换乘延误提供了可能。Abstract: Bus transit transfer is a key problem in both transit assignment and transit trip planning.Conventionally the transfer is estimated with average waiting time,which prevents precise acquisition of the optimal route of a particular trip.Based on spatial data,transit features can be represented at different levels of detail.The data model at the detailed directional level provides possibility for precisely evaluating transfer impedance.
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