Author: Peter Gregory Furth
Publisher:
ISBN:
Category : Automatic data collection systems
Languages : en
Pages :
Book Description
Uses of Archived AVL-APC Data to Improve Transit Performance and Management
Author: Peter Gregory Furth
Publisher:
ISBN:
Category : Automatic data collection systems
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category : Automatic data collection systems
Languages : en
Pages :
Book Description
Uses of archived AVL-APC data to improve transit performance and management
TCRP Report 113
Using Archived AVL-APC Data to Improve Transit Performance and Management
Author:
Publisher: Transportation Research Board
ISBN:
Category :
Languages : en
Pages : 94
Book Description
Publisher: Transportation Research Board
ISBN:
Category :
Languages : en
Pages : 94
Book Description
Using Archived AVL-APC Data to Improve Transit Performance and Management
Author: Peter Gregory Furth
Publisher: Transportation Research Board National Research
ISBN: 9780309098618
Category : Automatic data collection systems
Languages : en
Pages : 83
Book Description
"TRB's Transit Cooperative Research Program (TCRP) Report 113: Using Archived AVL-APC Data to Improve Transit Performance and Management explores the effective collection and use of archived automatic vehicle location (AVL) and automatic passenger counter (APC) data to improve the performance and management of transit systems. Spreadsheet files are available on the web that provide prototype analyses of long and short passenger waiting time using AVL data and passenger crowding using APC data. Case studies on the use of AVL and APC data have previously been published as appendixes to TCRP Web-Only Document 23: Uses of Archived AVL-APC Data to Improve Transit Performance and Management: Review and Potential"--Publisher's description
Publisher: Transportation Research Board National Research
ISBN: 9780309098618
Category : Automatic data collection systems
Languages : en
Pages : 83
Book Description
"TRB's Transit Cooperative Research Program (TCRP) Report 113: Using Archived AVL-APC Data to Improve Transit Performance and Management explores the effective collection and use of archived automatic vehicle location (AVL) and automatic passenger counter (APC) data to improve the performance and management of transit systems. Spreadsheet files are available on the web that provide prototype analyses of long and short passenger waiting time using AVL data and passenger crowding using APC data. Case studies on the use of AVL and APC data have previously been published as appendixes to TCRP Web-Only Document 23: Uses of Archived AVL-APC Data to Improve Transit Performance and Management: Review and Potential"--Publisher's description
Leveraging ITS Data for Transit Market Research
Author: James G. Strathman
Publisher: Transportation Research Board
ISBN: 0309099420
Category : Intelligent transportation systems
Languages : en
Pages : 92
Book Description
TRB¿s Transit Cooperative Research Program (TCRP) Report 126: Leveraging ITS Data for Transit Market Research: A Practitioner¿s Guidebook examines intelligent transportation systems (ITS) and Transit ITS technologies currently in use, explores their potential to provide market research data, and presents methods for collecting and analyzing these data. The guidebook also highlights three case studies that illustrate how ITS data have been used to improve market research practices.
Publisher: Transportation Research Board
ISBN: 0309099420
Category : Intelligent transportation systems
Languages : en
Pages : 92
Book Description
TRB¿s Transit Cooperative Research Program (TCRP) Report 126: Leveraging ITS Data for Transit Market Research: A Practitioner¿s Guidebook examines intelligent transportation systems (ITS) and Transit ITS technologies currently in use, explores their potential to provide market research data, and presents methods for collecting and analyzing these data. The guidebook also highlights three case studies that illustrate how ITS data have been used to improve market research practices.
An Automated Quality Assurance Procedure for Archived Transit Data from APC and AVL Systems
Author: Marian Saavedra
Publisher:
ISBN:
Category :
Languages : en
Pages : 114
Book Description
Automatic Vehicle Location (AVL) and Automatic Passenger Counting (APC) systems can be powerful tools for transit agencies to archive large, detailed quantities of transit operations data. Managing data quality is an important first step for exploiting these rich datasets. This thesis presents an automated quality assurance (QA) methodology that identifies unreliable archived AVL/APC data. The approach is based on expected travel and passenger activity patterns derived from the data. It is assumed that standard passenger balancing and schedule matching algorithms are applied to the raw AVL/APC data along with any existing automatic validation programs. The proposed QA methodology is intended to provide transit agencies with a supplementary tool to manage data quality that complements, but does not replace, conventional processing routines (that can be vendor-specific and less transparent).
Publisher:
ISBN:
Category :
Languages : en
Pages : 114
Book Description
Automatic Vehicle Location (AVL) and Automatic Passenger Counting (APC) systems can be powerful tools for transit agencies to archive large, detailed quantities of transit operations data. Managing data quality is an important first step for exploiting these rich datasets. This thesis presents an automated quality assurance (QA) methodology that identifies unreliable archived AVL/APC data. The approach is based on expected travel and passenger activity patterns derived from the data. It is assumed that standard passenger balancing and schedule matching algorithms are applied to the raw AVL/APC data along with any existing automatic validation programs. The proposed QA methodology is intended to provide transit agencies with a supplementary tool to manage data quality that complements, but does not replace, conventional processing routines (that can be vendor-specific and less transparent).
Application of Transit AVL/APC Data for Network Wide Monitoring of the Performance of Signalized Intersections
Author: Ibrahim Almohanna
Publisher:
ISBN:
Category :
Languages : en
Pages : 206
Book Description
The quality of service in urban transportation networks is determined mainly by the performance of the intersections. In particular, signalized intersections play a significant role in regulating the traffic in urban transportation networks. As a result, it is essential for transportation authorities to have a system, which can locate poorly operating intersections in the network and rank them for potential improvements. In practice, intersection performance is typically evaluated through the use of models such as HCS (Highway Capacity Software) or Synchro. These models estimate measures of performance (e.g. average vehicle delay, queue length, or level of service) on the basis of determinist and/or stochastic queueing theory. Another approach is to directly estimate intersection performance on the basis of delays experienced by vehicles. One source for such data is public transit bus fleets which are equipped with automatic vehicle location (AVL) systems and automatic passenger counting (APC) systems. These systems use GPS to record where and when a bus stops and the duration of the stop. The purpose of this research was to compare the intersection performance measures produced by Synchro and those estimated from archived AVL and APC data. An empirical evaluation was conducted using 28 intersections in the Region of Waterloo. Average delay and queue length were estimated using Synchro and estimated from archived AVL/APC data. The results show that the estimation of mean delay from the two methods are highly correlated. The estimation of queue length show larger differences, and in general, Synchro underestimated the queue length when compared to the AVL/APC data.
Publisher:
ISBN:
Category :
Languages : en
Pages : 206
Book Description
The quality of service in urban transportation networks is determined mainly by the performance of the intersections. In particular, signalized intersections play a significant role in regulating the traffic in urban transportation networks. As a result, it is essential for transportation authorities to have a system, which can locate poorly operating intersections in the network and rank them for potential improvements. In practice, intersection performance is typically evaluated through the use of models such as HCS (Highway Capacity Software) or Synchro. These models estimate measures of performance (e.g. average vehicle delay, queue length, or level of service) on the basis of determinist and/or stochastic queueing theory. Another approach is to directly estimate intersection performance on the basis of delays experienced by vehicles. One source for such data is public transit bus fleets which are equipped with automatic vehicle location (AVL) systems and automatic passenger counting (APC) systems. These systems use GPS to record where and when a bus stops and the duration of the stop. The purpose of this research was to compare the intersection performance measures produced by Synchro and those estimated from archived AVL and APC data. An empirical evaluation was conducted using 28 intersections in the Region of Waterloo. Average delay and queue length were estimated using Synchro and estimated from archived AVL/APC data. The results show that the estimation of mean delay from the two methods are highly correlated. The estimation of queue length show larger differences, and in general, Synchro underestimated the queue length when compared to the AVL/APC data.
Using Transit AVL/APC System Data to Monitor and Imporve Schedule Adherence
Author: Michael Mandelzys
Publisher:
ISBN:
Category :
Languages : en
Pages : 279
Book Description
The implementation of automatic transit data collection via Automatic Vehicle Location (AVL) and Automatic Passenger Counting (APC) systems provides an opportunity to create large, detailed datasets of transit operations. These datasets are valuable because they provide an opportunity to evaluate and optimize transit operations using methods that were previously infeasible and without the need for expensive manual data collection. This thesis develops a methodology to utilize data collected by typical AVL/APC system installations in order to (a) develop advanced performance measures to quantify schedule adherence and (b) automatically determine the causes of poor schedule adherence. The methodology addresses the difficulty that many small to medium sized transit agencies have in utilizing the data being collected by proposing a methodology that can be automated, thereby reducing resource and expertise requirements and allowing the data to be more effectively utilized. The ultimate output of the proposed methodology includes the following: 1. A ranked list of routes by direction (for a given time period) that identifies routes with the poorest schedule adherence performance. 2. Performance measures within any given route, direction, and time period that identify which timepoints are contributing most to poor schedule adherence. 3. Statistics indicating identified causes of poor schedule adherence at individual timepoints. 4. A visualization aid to be used in conjunction with the cause statistics generated in Step 3 in order to develop an effective strategy for improving schedule adherence issues. With this information, transit agencies will be able to act proactively to improve their transit system, rather than wait until they discover problems on their own or hear complaints from passengers and drivers. The methodology is tested and demonstrated through application to AVL/APC system data from Grand River Transit, a public transit agency serving Waterloo Region in Ontario, Canada.
Publisher:
ISBN:
Category :
Languages : en
Pages : 279
Book Description
The implementation of automatic transit data collection via Automatic Vehicle Location (AVL) and Automatic Passenger Counting (APC) systems provides an opportunity to create large, detailed datasets of transit operations. These datasets are valuable because they provide an opportunity to evaluate and optimize transit operations using methods that were previously infeasible and without the need for expensive manual data collection. This thesis develops a methodology to utilize data collected by typical AVL/APC system installations in order to (a) develop advanced performance measures to quantify schedule adherence and (b) automatically determine the causes of poor schedule adherence. The methodology addresses the difficulty that many small to medium sized transit agencies have in utilizing the data being collected by proposing a methodology that can be automated, thereby reducing resource and expertise requirements and allowing the data to be more effectively utilized. The ultimate output of the proposed methodology includes the following: 1. A ranked list of routes by direction (for a given time period) that identifies routes with the poorest schedule adherence performance. 2. Performance measures within any given route, direction, and time period that identify which timepoints are contributing most to poor schedule adherence. 3. Statistics indicating identified causes of poor schedule adherence at individual timepoints. 4. A visualization aid to be used in conjunction with the cause statistics generated in Step 3 in order to develop an effective strategy for improving schedule adherence issues. With this information, transit agencies will be able to act proactively to improve their transit system, rather than wait until they discover problems on their own or hear complaints from passengers and drivers. The methodology is tested and demonstrated through application to AVL/APC system data from Grand River Transit, a public transit agency serving Waterloo Region in Ontario, Canada.
Improving Service Restoration Using Automatic Vehicle Location
Author: Zhong-Ren Peng
Publisher:
ISBN:
Category : Bus lines
Languages : en
Pages : 124
Book Description
Publisher:
ISBN:
Category : Bus lines
Languages : en
Pages : 124
Book Description