Using Archived AVL-APC Data to Improve Transit Performance and Management (2006) / Chapter Skim
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Pages 70-76
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From page 70... ...
Analysts may do further manipulations of the Excel tables. For running time analysis, a query language program runs every 2 weeks on the AVL Informix database, extracting data that is then input to their scheduling package, Hastus, which includes the add-on software product ATP for running C H A P T E R 1 1 Data Structures That Facilitate Analysis
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From page 71... ...
11.1.4 Third-Party Software In the Netherlands, Delft University of Technology's Transportation Engineering Laboratory has developed the database and reporting software TriTAPT for detailed analyses of AVL and APC data.Various editions have been applied over the last 20 years to several Dutch transit agencies; the current edition is being used in Eindhoven and in the Hague. It features many useful single-route reports; excellent graphical representations, including proportional scaling to represent distance and time intervals; attention to distributions and extreme values as well as mean values; a graphical user interface for selecting days and times to be included in an analysis; edit capability that allows an analyst to suppress outliers; and practical tools for suggesting scheduled running times.
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From page 72... ...
If not, records for stops that were skipped can be generated as part of the matching process, as is done at Tri-Met. If polling data were to be used for more than playback analysis, matching would be done as part of entry processing to create stop records from it.
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From page 73... ...
and 9:00 a.m.) ; that kind of analysis is often done for running times.
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From page 74... ...
However, to the researchers' knowledge, bicycle rack events and similar event data are not part of routine running time or demand analysis tools. 11.4 Aggregation Independent of Sequence Almost all analyses other than incident investigation involve aggregation: over multiple days of observation, over multiple stops or segments, over multiple scheduled trips in a day, over multiple patterns that make up a line, or over multiple lines.
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From page 75... ...
11.5 Data Structures for Analysis of Shared-Route Trunks Analyses in which stop sequence plays a role are generally called "profiles," showing results along the route. Examples are load profiles, running time profiles, delay profiles, and profiles of schedule deviation and headway irregularity.
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From page 76... ...
Conversion routines were developed successfully for three U.S. transit agencies and one Canadian transit agency, all having different native data formats.
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