摘要
为支持出租汽车运营评价和行业规划,科学掌握其运营现状与特点,以深圳市一个典型工作日为例,研究浮动车数据挖掘在出租汽车运营特征研究中的应用。依托对浮动车数据的特征解析,提出面向出租汽车运营特征分析的数据处理流程,针对空驶率、运营速度、载客运营时长、出行需求的时空差异等方面分析深圳市出租汽车行业运营现状与特点。该研究可为出租汽车运营评价提供新视角,从对既有数据深度挖掘的角度提升行业效益。
To improve the efficiency of taxi operation and planning, this paper aims to apply floating car data（FCD） mining technology in studying taxi＇s operational characteristics as well as evaluating its operational performance for Shenzhen city. Based on features mined from FCD, a detailed working procedures of analyzing taxi operational characteristics is developed. With developed method, taxi unloaded rate, operational speed and time, temporal/spatial differences of travel demands are able to extract and better understand the performance of Shenzhen taxi system. The proposed method offers a new technology of FCD mining in taxi data exploration which could be used to evaluate taxi operational performance as well as improving its operational efficiency.
出处
《城市交通》
北大核心
2016年第1期59-64,共6页
Urban Transport of China
关键词
智能交通系统
道路交通
浮动车数据
数据挖掘
出租汽车
运营特征
intelligent transportation systems
road traffic
floating car data（FCD）
data mining
taxi
operational characteristics
