Bus Passenger Origin-Destination Estimation and Related Analyses Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems Wei Wang
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BibTeX
@MISC{Group_buspassenger,
author = {The World Bank Group and John P. Attanucci and Nigel H. M. Wilson},
title = {Bus Passenger Origin-Destination Estimation and Related Analyses Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems Wei Wang},
year = {}
}
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Abstract
This research explores the application of archived data from Automated Data Collection Systems (ADCS) to transport planning with a focus on bus passenger travel behavior, including Origin-Destination (OD) inference, using London as a case study. It demonstrates the feasibility and ease of applying trip-chaining to infer bus passenger OD from smart card transactions and Automatic Vehicle Location (AVL) data and is the first known attempt to validate the results by comparing them with manual passenger survey data. With the inferred OD matrices, the variations of weekday and weekend bus route OD patterns are examined for planning purposes. Moreover, based on the inferred OD matrices and the AVL data, alighting times for bus passengers also can be estimated. Bus journey stages, therefore, can easily be linked. By comparing the interchange time and the connecting bus route’s headway, it provides a way to evaluate bus connections.
Keyphrases
bus passenger origin-destination estimation inferred od matrix planning purpose case study connecting bus route headway avl data manual passenger survey data bus passenger travel behavior smart card transaction bus journey stage bus passenger bus connection automated data collection system bus passenger od interchange time weekend bus route od pattern automatic vehicle location
