Author: Publisher:
ISBN:
Category : Electronic book
Languages : en
Pages :
Book Description
Improving Bus Transit On-Time Performance Through the Use of AVL Data
Author: Using Archived AVL-APC Data to Improve Transit Performance and Management
Author: Publisher: Transportation Research Board
ISBN:
Category :
Languages : en
Pages : 94
Book Description
Evaluation of User Impacts of Transit Automatic Vehicle Location Systems in Medium and Small Sized Transit Systems
Author: Zhong-Ren PengPublisher:
ISBN:
Category : Bus lines
Languages : en
Pages : 102
Book Description
AVL Systems for Bus Transit
Author: Doug J. ParkerPublisher: Transportation Research Board
ISBN: 0309097967
Category : Bus lines
Languages : en
Pages : 114
Book Description
"TRB's Transit Cooperative Research Program (TCRP) Synthesis 73: AVL Systems for Bus Transit: Update explores the uses of computer-aided dispatch/automatic vehicle location (CAD/AVL) systems in fixed-route and demand-responsive services (bus AVL), as well as changes in agency practices related to the use of AVL systems."--Publisher's website.
Uses of Archived AVL-APC Data to Improve Transit Performance and Management
Author: Publisher:
ISBN:
Category : Automatic data collection systems
Languages : en
Pages : 0
Book Description
Using Automatically Collected Data to Improve the Bus Service Planning Process
Author: Jared Arthur FijalkowskiPublisher:
ISBN:
Category :
Languages : en
Pages : 131
Book Description
Most large transit agencies have shifted from collecting transit performance data manually to using automated data systems to measure performance. These systems, which include Automatic Vehicle Location (AVL), Automatic Passenger Counters (APC), and Automated Fare Collection (AFC), enable transit agencies to (1) collect larger and more detailed sets of performance data, (2) measure transit performance more from the perspective of customers, and (3) conduct more systematic service evaluation processes. While many transit agencies have adopted these data collection technologies, many have not modified their service planning processes to reflect the full advantages of automated data systems. This thesis evaluates the current performance metrics used by the Chicago Transit Authority (CTA) and the Massachusetts Bay Transportation Authority (MBTA) in their respective service planning processes. A set of recommended performance metrics are proposed in the categories of bus loading, service reliability, passenger demand, and cost effectiveness that take advantage of the benefits of automatically collected data. Next, a service planning process is proposed by which transit agencies can use automatically collected data to systematically evaluate bus transit performance at the route, corridor, and system levels. In addition to making general recommendations applicable to all large transit agencies, this thesis makes specific recommendations for the CTA and the MBTA to improve their respective service planning processes to make full use of the capabilities of automated data systems. This thesis finds that performance metrics which take advantage of the large and detailed data sets that automated data systems provide can more accurately and acutely identify performance problems, leading planners to develop better solutions. Also, the efficiencies in automated data collection compared with manual data collection allow transit agencies to perform a more comprehensive and systematic process by which the performance of all transit service is evaluated on a regular basis. Finally, while automated data systems provide a high level of detail about bus transit performance, contextual information about route operations remains critical to accurately identifying and resolving performance problems.
Automatic Vehicle Location Successful Transit Applications
Author: Using Archived AVL-APC Data to Improve Transit Performance and Management
Author: Peter Gregory FurthPublisher: 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
Running Time Variability and Resource Allocation
Author: Gabriel Eduardo Sánchez-MartínezPublisher:
ISBN:
Category :
Languages : en
Pages : 132
Book Description
Running time variability is one of the most important factors determining service quality and operating cost of high-frequency bus transit. This research aims to improve performance analysis tools currently used in the bus transit industry, particularly for measuring running time variability and understanding its effect on resource allocation using automated data collection systems such as AVL. Running time variability comes from both systematic changes in ridership and traffic levels at different times of the day, which can be accounted for in service planning, and the inherent stochasticity of homogeneous periods, which must be dealt with through real-time operations control. An aggregation method is developed to measure the non-systematic variability of arbitrary time periods. Visual analysis tools are developed to illustrate running time variability by time of day at the direction and segment levels. The suite of analysis tools makes variability analysis more approachable, potentially leading to more frequent and consistent evaluations. A discrete event simulation framework is developed to evaluate hypothetical modifications to a route's fleet size using automatically collected data. A simple model based on this framework is built to demonstrate its use. Running times are modeled at the segment level, capturing correlation between adjacent segments. Explicit modeling of ridership, though supported by the framework, is not included. Validation suggests that running times are modeled accurately, but that further work in modeling terminal dispatching, dwell times, and real-time control is required to model headways robustly. A resource allocation optimization framework is developed to maximize service performance in a group of independent routes, given their headways and a total fleet size constraint. Using a simulation model to evaluate the performance of a route with varying fleet sizes, a greedy optimizer adjusts allocation toward optimality. Due to a number of simplifying assumptions, only minor deviations from the current resource allocation are considered. A potential application is aiding managers to fine-tune resource allocation to improve resource effectiveness.
Author: