Understanding Transit System Performance Using AVL-APC Data: An Analytics Platform with Case Studies for the Pittsburgh Region

Abstract

This paper introduces a novel transit data analytics platform for public transit planning

COVID-19 public transit precautions: Trade-offs between risk reduction and costs

“…Pittsburgh Regional Transit bus ridership data can be sourced via a request from the agency. Automatic passenger counters equipped on all Pittsburgh Regional Transit buses provide the location, time, and load of each bus at each stop along with information on the size of the bus ( Pi et al, 2018 ). Pi discusses the functionality, accuracy, and reliability of the automatic passenger counters that operate at each door to scan when a passenger enters and exits the bus giving the current bus load ( Pi et al, 2018 ).…”

“…Automatic passenger counters equipped on all Pittsburgh Regional Transit buses provide the location, time, and load of each bus at each stop along with information on the size of the bus ( Pi et al, 2018 ). Pi discusses the functionality, accuracy, and reliability of the automatic passenger counters that operate at each door to scan when a passenger enters and exits the bus giving the current bus load ( Pi et al, 2018 ). Additionally, Pi discusses validation practices, such as flagging instances where passenger load measurements are infeasible (e.g., negative) ( Pi et al, 2018 ).…”

“…Pi discusses the functionality, accuracy, and reliability of the automatic passenger counters that operate at each door to scan when a passenger enters and exits the bus giving the current bus load ( Pi et al, 2018 ). Additionally, Pi discusses validation practices, such as flagging instances where passenger load measurements are infeasible (e.g., negative) ( Pi et al, 2018 ).…”

A Parallel-based Map Matching Approach over Urban Place Records

“…Map matching is a powerful task to assist several projects interested in extract information from geospatial data (for instance, control of deforestation, fires and floods) and approaches related to smart cities [Bojic et al 2015]. Several works report the necessity to apply the map matching task to solve diverse problems related to urban mobility and environment in different countries, such as USA [Pi et al 2018], Chile [Arriagada et al 2019], Sweden [Bouguelia et al 2018], and Italy [Interdonato and Tagarelli 2017]. In this context, the present work has been conceived by analyzing the scenario and related issues addressed by an international cooperation project called EUBra-BIGSEA.…”

Forecasting bus ridership using a “Blended Approach”

“…Advances in the use of software platforms and web-interfaces has spawned a number of transit planning tools and new approaches (Sun et al 2011;Antrim and Barbeau 2013;Owen and Levinson 2017;Liebig et al 2014;Giraud et al 2016;Pi et al 2018). Karner (2018) reviewed the 2012 Federal Transit Administration (FTA) mandated process for evaluating transit projects with respect to equity.…”