Understanding Taxi Service Strategies From Taxi GPS Traces
Understanding Taxi Service Strategies From Taxi GPS Traces
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DOI：
10.1109/tits.2014.2328231
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发表时间：
2015-02-01
影响因子：
8.5
通讯作者：
Wu, Zhaohui
中科院分区：
文献类型：
--
作者：
Zhang, Daqing;Sun, Lin;Wu, Zhaohui
出租车服务策略是海量出租车司机的群体智慧，隐藏在带有时间戳的历史 GPS 轨迹中。挖掘 GPS 轨迹以了解熟练出租车司机的服务策略可以在很多方面使司机本身、乘客和城市规划者受益。本文旨在基于中国某城市一年内约 7600 辆出租车的大型 GPS 历史数据库，揭示高效和低效的出租车服务策略。首先，我们将各个出租车司机的 GPS 轨迹分开，并将其与产生的收入联系起来。其次，我们从三个角度研究出租车服务策略，即乘客搜索策略、乘客运送策略和服务区域偏好。最后，我们用特征矩阵表示出租车服务策略，并评估服务策略和收入之间的相关性，告知哪些策略有效或低效。我们根据出租车司机的策略预测其收入，并实现预测残差低于 2.35 元/小时，(1) 这表明用我们提出的方法提取的出租车服务策略很好地表征了出租车司机的驾驶行为和绩效。
Taxi service strategies, as the crowd intelligence of massive taxi drivers, are hidden in their historical time-stamped GPS traces. Mining GPS traces to understand the service strategies of skilled taxi drivers can benefit the drivers themselves, passengers, and city planners in a number of ways. This paper intends to uncover the efficient and inefficient taxi service strategies based on a large-scale GPS historical database of approximately 7600 taxis over one year in a city in China. First, we separate the GPS traces of individual taxi drivers and link them with the revenue generated. Second, we investigate the taxi service strategies from three perspectives, namely, passenger-searching strategies, passenger-delivery strategies, and service-region preference. Finally, we represent the taxi service strategies with a feature matrix and evaluate the correlation between service strategies and revenue, informing which strategies are efficient or inefficient. We predict the revenue of taxi drivers based on their strategies and achieve a prediction residual as less as 2.35 RMB/h,(1) which demonstrates that the extracted taxi service strategies with our proposed approach well characterize the driving behavior and performance of taxi drivers.