DocumentCode
495248
Title
Floating Car Data Based Taxi Operation Characteristics Analysis in Beijing
Author
Jian-cheng, Weng ; Ya-qiao, Zhai ; Xiao-juan, Zhao ; Jian, Rong
Author_Institution
Key Lab. of Transp. Eng., Beijing Univ. of Technol., Beijing, China
Volume
5
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
508
Lastpage
512
Abstract
The urban floating car data (FCD) collection system is usually constructed base on the taxi dispatch system, and the taxies are service as the floating car. Thus, the floating car data (FCD) collected from the system also include the operation information and status information of taxies. This paper proposed several floating car data based indexes and analysis models for taxi operation. Taking Beijing as a case study, the paper analyzed the parameters including travel mileage, virtual mileage ratio, time-space distribution on the road-network and the labor intensity of drivers. Then, several important parameters about the taxi operation in Beijing were concluded in this research. These data can provide useful data support for the taxi dispatching management, taxi stop planning, Vehicles deployment and general decision making for the management of taxi industry.
Keywords
automobiles; data mining; decision making; decision theory; dispatching; planning; transportation; Beijing; data mining; decision making; driver labor intensity; road-network; taxi dispatch management system; taxi industry; taxi operation characteristics analysis; taxi stop planning; time-space distribution; travel mileage; urban floating car data collection system; virtual mileage ratio; Computer science; Data engineering; Data processing; Dispatching; Global Positioning System; Information analysis; Laboratories; Road transportation; Telecommunication traffic; Vehicles; Data Mining; Data Process; Floating Car Data (FCD); Intelligent Transportation System; Taxi Operation Management;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.815
Filename
5170587
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