Title :
Analysis of Travel Time Patterns in Urban Using Taxi GPS Data
Author :
Mengdan Gao ; Tongyu Zhu ; XueJin Wan ; Qi Wang
Author_Institution :
Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China
Abstract :
Travel time is the basic information to city life. Accurate travel time information can help people plan travel schedule and improve work efficiency. This paper proposes a method to discover travel-time patterns which can evaluate the travel efficiency in the city. The travel time data is based on the trajectories extracted from taxi GPS data. First we propose a method to recognize popular paths between origin-destination pairs, and cluster the same trajectories together meanwhile the abnormal trajectories are discarded. We treat the travel time data as time series, and Weighted Moving Average (WMA) is used to extract the normal travel time pattern. In the final part of the paper, the model is validated through the taxi GPS data of Beijing. We recognize different travel time patterns and some real examples of different paths are analyzed.
Keywords :
Global Positioning System; data analysis; Beijing; Global Positioning System; taxi GPS data; travel time analysis; travel time data is based; weighted moving average; Data mining; Data models; Educational institutions; Global Positioning System; Market research; Time series analysis; Trajectory; time series; trajectory mining; travel time; weighted moving average;
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.101
