UROP Openings

Have a UROP opening you would like to submit?

Please fill out the form.

Submit your UROP opening

Public Transit Travel Time Estimation


Term:

Fall

Department:

11: Urban Studies and Planning

Faculty Supervisor:

Jinhua Zhao

Faculty email:

jinhua@mit.edu

Apply by:

September 7, 2020

Contact:

Hui Kong: kongh@mit.edu

Project Description

Estimating passengers’ door-to-door travel time by public transit can be complex for large networks with many path alternatives available. Additional complications arise in tap-on only transit systems, where passenger alighting data are not recorded. This project is designed to compare the three methods that estimate the travel time by public transit: assuming optimal path choice given scheduled service, as represented in the General Transit Feed Specification (GTFS); assuming optimal path choice given actually operated bus service, as recorded by Automatic Vehicle Location (AVL) systems; and using inferred path choices based on Automated Fare Collection (AFC) records, as processed with an Origin-Destination-Interchange inference algorithm (ODX). The case study will be conducted in Chicago, with the support of the Chicago Transit Authority (CTA). Methods 1 and 2, hereinafter GTFS and AVL respectively, use a common open-source shortest path algorithm to calculate travel times. The third method uses an implementation of ODX customized for the CTA.

Pre-requisites

Prior experience with querying and analyzing large data sets is required; experience with python is recommended.