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Dissertation_MDS_HuiTang.pdf (1.21 MB)

ETD Abstract Container

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Urban Transportation Analysis Using Taxi Trajectory and Weather Data

Tang, Hui
http://rave.ohiolink.edu/etdc/view?acc_num=kent1477912608486516

Abstract Details

2016, MDS, Kent State University, School of Digital Sciences.
Urban data has been collected and accumulated. It greatly advances our knowledge and understanding of urban transportation patterns and human mobility behaviors. In this thesis, both the taxi trajectory and weather data for transportation features of Hangzhou, a city in China, were analyzed. First, a study of characteristics of traffic attributes, such as traffic speed, and records of taxi pickups/drop-offs, was carried out by analyzing their temporal changes on selected individual streets and the whole city. Second, an analysis among these attributes was performed to investigate whether or not there are correlation behavior among them. Finally, a supervised machine learning model, support vector machine (SVM), was utilized to make a prediction on the traffic situations in selected streets from multiple types of transportation and weather attributes. Data analysis included in this thesis was performed over massive taxi trajectory and weather data with a set of data analytics tools in the environment of R package. The results show that data statistics, visualization, and machine learning tools can be applied to a variety types of urban data, facilitating domain users and city residents to gain knowledge of a city’s transportation features.
Cheng-Chang Lu (Advisor)
54 p.
Information Technology
Urban Transportation Analysis; Taxi Trajectory; Weather Data

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Citations

  • Tang, H. (2016). Urban Transportation Analysis Using Taxi Trajectory and Weather Data [Master's thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1477912608486516

    APA Style (7th edition)

  • Tang, Hui. Urban Transportation Analysis Using Taxi Trajectory and Weather Data . 2016. Kent State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1477912608486516.

    MLA Style (8th edition)

  • Tang, Hui. "Urban Transportation Analysis Using Taxi Trajectory and Weather Data ." Master's thesis, Kent State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=kent1477912608486516

    Chicago Manual of Style (17th edition)

kent1477912608486516
1,691
© 2016, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.