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Waterloo Public Transportation Initiative
Environment 1 352
Title | 2016 Transportation Mode Classification Based on Smart-Phone data: Enhancing Accuracy Using Spatial Statistics and GIS |
Publication Type | Journal Article |
Year of Publication | 2016 |
Authors | Nour, A., B. Hellinga, and J. M. Casello |
Journal | Journal of Transportation Geography |
Volume | 51 |
Start Page | 36 |
Pagination | 36-44 |
Date Published | 02/2016 |
Keywords | Classification, GIS, Machine learning, Mode identification, Spatial statistics, Spatiotemporal, Transit, Transportation |
Abstract | As the practices of transportation engineering and planning evolve from “data poor” to “data rich”, methods to automate the translation of data to information become increasingly important. A major field of study is the automatic identification of travel modes from passively collected GPS data. In previous work, the authors have developed a robust modal classification system using an optimized combination of statistical inference techniques. One problem that remains very difficult is the correct identification of transit travel, particularly when the system is operating in mixed traffic. This type of operation generates a wide range of values for many travel parameters (average speed, maximum speed, and acceleration for example) which have similar characteristics to other urban modes. In this paper, we supplement the previous research to improve the identification of transit trips. The method employed evaluates the likelihood that GPS travel data belong to transit by comparing the location and pattern of zero-travel speeds (stopping) to the presence of transit stops and signalized intersections. These comparisons are done in a GIS. The consideration of the spatial attributes of GPS data vastly improves the accuracy of transit travel prediction. |
URL | http://www.sciencedirect.com/science/article/pii/S0966692315002070 |
DOI | 10.1016/j.jtrangeo.2015.11.005 |
Refereed Designation | Refereed |
Waterloo Public Transportation Initiative
Environment 1 352
The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg, and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is co-ordinated within the Office of Indigenous Relations.