Taxi Operation and Management Characteristics Based on Floating Car Data

doi:10.3969/j.issn.1674-0696.2014.04.25

Journal of Chongqing Jiaotong University(Natural Science) ›› 2014, Vol. 33 ›› Issue (4): 122-127.DOI: 10.3969/j.issn.1674-0696.2014.04.25

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Taxi Operation and Management Characteristics Based on Floating Car Data

Zhuang Lijian¹, Wei Qingbo², He Zhaocheng¹, Yang Wenchen³, Sun Wenbo¹

1. Research Center of Intelligent Transportation System, School of Engineering, Sun Yat-Sen University, Guangzhou 510006, Guangdong, China;2. Guangzhou Public Transport Data Management Center, Guangzhou 510620, Guangdong, China; 3. Key Laboratory of Road & Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China

Received:2013-01-23 Revised:2013-03-25 Online:2014-08-15 Published:2015-03-10

基于浮动车数据的出租车运营管理特性建模与分析

庄立坚¹，韦清波²，何兆成¹，杨文臣³，孙文博¹

1.中山大学工学院智能交通研究中心，广东广州 510006；2. 广州市公共交通数据管理中心，广东广州 510620； 3. 同济大学道路与交通工程教育部重点实验室，上海 201804

作者简介:庄立坚（1989—），男，广东汕头人，硕士研究生，主要从事浮动车数据挖掘方面的研究。E-mail:zhuanglijian@yeah.net。
基金资助:
广东省粤港关键领域重点突破项目（2011A011305002）；广东省科技计划项目（2012B010900012）

Abstract

Abstract: In order to provide the real-time and accurate taxi operation data to alleviate the high unloaded ratio and the low operation efficiency of urban taxi, the floating car data-based modeling and analysis method of taxi operation characteristics was presented. On the basis of the pre-processing and analysis of floating car data, the processing framework of large-scale floating car data for taxi operation management was first developed, and then, considering the travel demand, the operation benefit and the and operation efficiency, the evaluation indices of taxi operation management and its calculation model were established. Taking Guangzhou as a case for study, taxis’ GPS data of five typical workdays were selected to analyze the important parameters of taxi operation and management, including travel demand distribution, mileage unloaded ratio, time unloaded ratio, average travel speed, travel time and travel mileage, etc. Analysis results demonstrate the proposed approach can provide important decision-making supports for the taxi operation dispatching, the optimization of taxi site setting and industry management.

Key words: traffic engineering;intelligent transportation, floating car, taxi management, data process, operation characteristic

摘要： 为提供实时准确的出租车运营管理数据，以缓解出租车空驶率高及运营效率低的现象，提出一种城市出租车运营管理特性的建模与分析方法。该方法依托大规模浮动车数据的分析和预处理，分析出租车GPS数据的特征，提出面向出租车运营管理的大规模浮动车数据处理框架，并综合出行需求、运营效益和运营效率，构建基于浮动车数据的出租车运营管理指标体系及其计算模型；以广州市为例，选取5个典型工作日的出租车GPS数据，分析广州市出租车运营的出行需求分布、里程空载率、时间空载率、载客行驶速度、载客出行时间和载客出行距离等指标，提取广州市出租车运营管理水平的重要特征参数，可为出租车站点优化配置、运营调度以及行业管理提供重要的决策支持。

关键词: 交通工程, 智能交通, 浮动车, 出租车管理, 数据处理, 运营特性

CLC Number:

U491

Zhuang Lijian, Wei Qingbo, He Zhaocheng, Yang Wenchen, Sun Wenbo. Taxi Operation and Management Characteristics Based on Floating Car Data[J]. Journal of Chongqing Jiaotong University(Natural Science), 2014, 33(4): 122-127.

庄立坚，韦清波，何兆成，杨文臣，孙文博. 基于浮动车数据的出租车运营管理特性建模与分析[J]. 重庆交通大学学报（自然科学版）, 2014, 33(4): 122-127.

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Taxi Operation and Management Characteristics Based on Floating Car Data

基于浮动车数据的出租车运营管理特性建模与分析

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