The Second Transportation Student Research Symposium
Abstract Detail
| Name | School | Title of presentation |
| Alex Cui | MIT | CTA Bus Passenger Trip Origin-Destination Matrix Estimation |
| The current availability of Automatically Collected Data will enhance the ability of transit agencies to obtain more useful information that is previously too expensive. Developing an algorithm of Bus Passenger Trip OD Estimation based on Automatically Collected Data can achieve more accurate result, and do so more quickly and more efficiently. Obtaining bus OD for Chicago Transit Authority (CTA) involves the combination of multiple sources of data, namely farecard data (AFC), Automatic Passenger Count (APC) data, and Automatic Vehicle Location (AVL) data. The proposed approach is to obtain a seed matrix based primarily on AFC data, and then apply either Iterative Proportional Fitting (IPF) or Maximum Likelihood Estimation (MLE) to achieve full bus OD matrix. |
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