为了分析出租车合乘条件对合乘收益趋势的影响,构建了GPS轨迹数据的处理方法,引入合乘下车点的距离、合乘上车点的距离和时间等参数,建立出租车合乘模型,并利用灰色预测模型,讨论了在合乘点距离和间隔时间不同的影响条件下,出租车的合乘收益趋势.研究结果表明:合乘的收益与合乘上车点间的距离密切相关.模型应用于南京市出租车GPS轨迹数据时,当合乘上车点的时间间隔固定为20min,合乘上车点间的距离增大到1 200m时,合乘的匹配数增加快,合乘的收益可以增加20.31%,且距离间隔越大,收益增长越快;当合乘上车间的距离固定在100m时,合乘上车点的时间间隔增加到35min,合乘的匹配数增加慢,合乘的收益仅增加5.38%,且时间的间隔越大,收益增长越慢.
In order to analyze the influence of taxi-sharing conditions on carpooling benefit, GPS trajectory data processing method is constructed and the taxi-sharing model is built by introducing variable data such as taking on & off distance and time. On the basis of the grey forecasting model, the taxi-sharing benefit tendency is explored under the different influence conditions of sharing distance and spacing interval. The conclusion shows that taxi-sharing benefit is closely related to the distance of taking on point. The model is applied to Nanjing taxi GPS trajectory data. When the time interval of taking on point of the taxi-sharing is 20 minutes, the distance of the taxi-sha- ring increases to 1200 meters, the matching degree will increase quickly and the benefit will in- crease by 20.31~,and it indicates that the further the distance interval is, the more the income is. Otherwise,when the distance of taking on point of the taxi-sharing is 100 meters,the time in- terval of sharing increases to 35 minutes,the matching degree will increase slowly and the benefit will increase by 5.38% ,and it indicates that the longer the time interval is,the less the income is.