METRANS UTC

Trajectory Data Mining for Performance Measurement of Public Transportation Systems

Project Number

16-06

Project Summary

The main objective of this proposal is to develop a system that can process massive amounts of GPS trajectories from public transportation vehicles and implement statistical algorithms to analyze variety of public transportation system performance metrics such as travel-time reliability, on-time performance, bus bunching and travel-time estimation. To this end, we will conduct fundamental research in mining and correlation of real-time and historical bus GPS trajectory datasets in LA County, which we have collected and archived in our database over the past four years. Furthermore, to demonstrate the benefits of our research, we will develop a novel proof-of-concept web-based application to enable access and visualization of the performance metrics of public transportation vehicles. This research will exploit the real-world Los Angeles traffic sensor and bus GPS datasets collected from Regional Integration of Intelligent Transportation Systems (RIITS) under Archived Traffic Data Management System (ADMS) project.

Project Status

Complete

Project Report

Year

2016

Topic Area

Sustainable Urban Freight

P.I. Name & Address

Research Scientist, Integrated Media Systems Center; USC Viterbi School of Engineering
University of Southern California
3737 Watts Way
Charles Lee Powell Hall (PHE) 335
Los Angeles, CA 90089-1211
United States
demiryur@usc.edu

Co-P.I.

Professor and Director of the Information Laboratory (InfoLAB), Department of Computer Science; USC Viterbi School of Engineering
University of Southern California
3737 Watts Way
Charles Lee Powell Hall (PHE) 306A
Los Angeles, CA 90089-0781
United States
shahabi@usc.edu

Funding Source

Caltrans

Total Project Cost

$100,000

Agency ID or Contract Number

65A0533

Start and End Dates

3/2/17 to 6/30/18