Frequency-based path flow estimator for transit origin-destination trip matrices incorporating automatic passenger count and automatic fare collection data

Authors

Guoyuan Li
Anthony Chen

Document Type

Journal Article

Publication Date

2022

Subject Area

place - urban, technology - automatic vehicle monitoring, technology - passenger information, technology - ticketing systems, ridership - modelling

Keywords

Transit, OD estimation, Frequency-based path flow estimator, Automatic passenger count data, Automatic fare collection data

Abstract

A frequency-based path flow estimator is proposed to estimate the transit passenger origin–destination (OD) matrix in an urban congested transit network. The proposed model not only considers the effect of congestion under an equilibrium framework, but also benefits from being formulated as a single-level model with the route-section-based network representation. Multiple transit data sources are incorporated, including automatic passenger count, automatic fare collection and automatic vehicle location data. A path-based diagonalization approach embedded with an iterative balancing scheme is developed to solve the model. Case studies are conducted to demonstrate the features and applicability of the proposed model and algorithm.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Transportation Research Part E Home Page:

http://www.sciencedirect.com/science/journal/13665545

Recommended Citation

Li, G., & Chen, A. (2022). Frequency-based path flow estimator for transit origin-destination trip matrices incorporating automatic passenger count and automatic fare collection data. Transportation Research Part E: Logistics and Transportation Review, Vol. 163, 102754.