National Academy of Sciences | 150 Year Anniversary

Questions? Call 800-624-6242

| Items in cart [0]

The National Academies Press

Rights & Permissions

topleft topright

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

Citation Manager

Hemily, Brendon, Furth, Peter G, Muller, Theo H J, Strathman, James G, Transportation Research Board. "Appendixes." TCRP Report 113: Using Archived AVL-APC Data to Improve Transit Performance and Management. Washington, DC: The National Academies Press, 2006.

Please select a format:

BibTeX EndNote RefMan


Page
83
bottomleft bottomright
Page
83
Front Matter (R1-R10)
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)

Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.

OCR for page 83
83 APPENDIXES The following appendixes are published as part of TCRP Web · Appendix E: The Société de Transport de Montréal's Document 23 (available on the TRB web site: www. trb.org): Experience with APC Data · Appendix F: OC Transpo: A Pioneer in APC Use for Service · Appendix A: Tri-Met's Experience with Automatic Pas- Improvement senger Counter (APC) and Automatic Vehicle Location · Appendix G: Hermes-Eindhoven's Experience with Auto- (AVL) Systems matic Data Collection, Operations Control, Management · Appendix B: New Jersey Transit's Developing APC and Information, and Passenger Information Systems Archived Data User Service · Appendix H: The Transit Management Information System · Appendix C: AVL- and APC-Related Data Systems at King of HTM, The Hague County Metro · Appendix I: Metro Transit's Integrated AVL-APC System · Appendix D: The Chicago Transit Authority's Experience with Acquiring and Analyzing Automated Passenger and Operations Data