TCRP Report 113: Using Archived AVL-APC Data to Improve Transit Performance and Management
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TCRP Report 113:
Using Archived AVL-APC Data to Improve Transit Performance and Management
(2006)
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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.

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Publication Info

94 pages | 8.5 x 11
Contents

Table of Contents

skim chapter
Front Matter i-x
Summary 1-7
1.1 Historical Background 8-8
1.2 Research Objective 9-9
1.3 Research Approach 10-11
1.4 Report Outline 12-13
2.2 Route and Schedule Matching 14-16
2.3 Data Recording: On- or Off-Vehicle 17-18
2.4 Data Recovery and Sample Size 19-20
3.2 Odometer (Transmission Sensors) 21-21
3.5 Other Devices 22-22
3.6 Integration and Standards 23-24
4.1 Becoming Data Rich: A Revolution in Management Tools 25-28
4.4 Running Time 29-32
4.5 Schedule Adherence, Long-Headway Waiting, and Connection Protection 33-34
4.6 Headway Regularity and Short-Headway Waiting 35-35
4.7 Demand Analysis 36-38
4.9 Miscellaneous Operations Analyses 39-39
4.10 Higher Level Analyses 40-40
5.1 Running Time Periods and Scheduled Running Time 41-42
5.2 Determining Running Time Profiles Using the Passing Moments Method 43-44
6.1 A Framework for Analyzing Waiting Time 45-45
6.2 Short-Headway Waiting Time Analysis 46-47
6.3 Long-Headway Waiting Time Analysis 48-50
7.2 Distribution of Crowding Experience by Passenger 51-53
8.1 Raw Count Accuracy 54-54
8.2 Trip-Level Parsing 55-57
8.3 Trip-Level Balancing Methods 58-62
9.2 Accuracy and Sample Size Needed for Passenger-Miles 63-65
10.2 Level of Spatial Detail 66-67
10.3 Devices to Include 68-68
10.5 Exception Reporting versus Exception Recording 69-69
11.1 Analysis Software Sources 70-71
11.2 Data Screening and Matching 72-72
11.3 Associating Event Data with Stop/Timepoint Data 73-73
11.4 Aggregation Independent of Sequence 74-74
11.6 Modularity and Standard Database Formats 75-76
12.3 Staffing and Skill Needs 77-77
12.5 Avoiding Labor Opposition 78-78
Chapter 13 - Conclusions 79-80
References 81-82
Appendixes 83-83
Abbreviations used without definitions in TRB publications 84-84

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