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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2006. Using Archived AVL-APC Data to Improve Transit Performance and Management. Washington, DC: The National Academies Press. doi: 10.17226/13907.
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Page 81
Page 82
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2006. Using Archived AVL-APC Data to Improve Transit Performance and Management. Washington, DC: The National Academies Press. doi: 10.17226/13907.
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Page 82

Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

81 1. Furth, P. G. “Using Automatic Vehicle Monitoring Systems to Derive Transit Planning Data.” In Proceedings of the International Conference on Automatic Vehicle Location Systems, Canadian Urban Transit Association, Ottawa, 1988, pp. 189–200. 2. Furth, P. G. TCRP Synthesis of Transit Practice 34: Data Analysis for Bus Planning and Monitoring. Transportation Research Board of the National Academies, Washington, D.C., 2000. 3. Cevallos, F. “Using dBASE to Collect AVL Data.” The dBase Devel- oper’s Bulletin 16, July 2002. 4. Casey, R. F. Advanced Public Transportation Systems Deployment in the United States: Update, January 1999. Report FTA-MA-26-7007- 99-1. FTA, U.S.DOT, 1999. 5. Casey, R. F., L. N. Labell, L. Moniz, J. W. Royal et al. Advanced Public Transportation Systems: The State of the Art: Update 2000. Report FTA-MA-26-7007-00-1. FTA, U.S.DOT, 2000. 6. Furth, P. G., T. H. J. Muller, J. G. Strathman, and B. Hemily. “Designing Automated Vehicle Location Systems for Archived Data Analysis.” Transportation Research Record: Journal of the Trans- portation Research Board, No. 1887, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 62–70. 7. Furth, P. G., J. G. Strathman, and B. Hemily. “Making Automatic Passenger Counts Mainstream: Accuracy, Balancing Algorithms, and Data Structures.” Transportation Research Record: Journal of the Transportation Research Board, No. 1927, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 207–216. 8. Furth, P. G. and T. H. J. Muller. “Service Reliability and Hidden Waiting Time: Insights from AVL Data.” Transportation Research Record: Journal of the Transportation Research Board, Transporta- tion Research Board of the National Academies, Washington, D.C., forthcoming. 9. Okunieff, P. E. TCRP Synthesis of Transit Practice 24: AVL Systems for Bus Transit. Transportation Research Board of the National Academies, Washington, D.C., 1997. 10. Furth, P. G., “Integration of Fareboxes with Other Electronic Devices on Transit Vehicles.” Transportation Research Record 1557, TRB, National Research Council, Washington, D.C., 1996, pp. 21–27. 11. Kemp, J. Automatic Passenger Counting and Data Management System Project: Overview, Current Status, Lessons Learned. Pre- sented at Orbital Users Group meeting, 2001. 12. Okunieff, P., T. Adams, and N. Neuerburg. Best Practices for Using Geographic Data in Transit: A Location Referencing Guidebook. Report FTA-NJ-26-7044-2003.1. FTA, U.S.DOT, 2005. 13. Lee, Y.-J., K. S. Chon, D. L. Hill, and N. Desai. “Effect of Automatic Vehicle Location on Schedule Adherence for Mass Transit Admin- istration Bus System.”Transportation Research Record: Journal of the Transportation Research Board, No. 1760, TRB, National Research Council, Washington, D.C., 2001, pp. 81–90. 14. Boyle, D. TCRP Synthesis of Transit Practice 29: Passenger Counting Technologies and Procedures. Transportation Research Board of the National Academies, Washington, D.C., 1998. 15. Barry, V. “Ongoing Use of Automatic Passenger Counters in Route Planning.” In Proceedings, Transit Planning Applications Conference, 1993. 16. Furth, P. G., J. P. Attanucci, I. Burns, and N. H. Wilson. Transit Data Collection Design Manual. Report DOT-I-85-38. U.S.DOT, 1985. 17. Levy, D. and L. Lawrence. The Use of Automatic Vehicle Location for Planning and Management Information. STRP Report 4, Canadian Urban Transit Association, 1991. 18. Friedman, T. W.“The Evolution of Automatic Passenger Counters.” In Proceedings, Transit Planning Applications Conference, 1993. 19. Navick, D. S. and P. G. Furth.“Estimating Passenger Miles, Origin- Destination Patterns, and Loads with Location-Stamped Farebox Data.”Transportation Research Record: Journal of the Transportation Research Board, No. 1799, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 107–113. 20. Barry, J. J., R. Newhouser, A. Rahbee, and S. Sayeda. “Origin and Destination Estimation in New York City with Automated Fare Sys- tem Data.” Transportation Research Record: Journal of the Trans- portation Research Board, No. 1817, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 183–187. 21. Lehtonen, M. and R. Kulmala.“Benefits of Pilot Implementation of Public Transport Signal Priorities and Real-Time Passenger Infor- mation.” Transportation Research Record: Journal of the Transporta- tion Research Board, No. 1799, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 18–25. 22. Schiavone, J. J. TCRP Report 43: Understanding and Applying Advanced On-Board Bus Electronics, Transportation Research Board of the National Academies, Washington, D.C., 1999. 23. Surface Vehicle Recommended Practice for Serial Data Commu- nications between Microcomputer Systems in Heavy-Duty Vehi- cle Applications. Standard SAE 1708, Society of Automotive Engineers, 1993. 24. Surface Vehicle Recommended Practice for Electronic Data Interchange between Microcomputer Systems in Heavy-Duty Vehicle Applications. Standard SAE 1587, Society of Automotive Engineers, 1996. References

25. VIGGEN Corporation. FTA National Transit GIS: Data Standards, Guidelines, and Recommended Practices. Report DTRS57-95-P-80861. U.S.DOT Volpe Center, 1996. 26. Kittleson & Associates, Inc.; Urbitran, Inc.; LKC Consulting Services, Inc.; MORPACE International, Inc. et al. TCRP Report 88: A Guide- book for Developing a Transit Performance-Measurement System. Transportation Research Board of the National Academies, Wash- ington, D.C., 2003. 27. Kittleson & Associates, Inc.; KFH Group, Inc.; Parsons Brinckerhoff Quade & Douglass, Inc.; and Katherine Hunter-Zaworski. TCRP Report 100: Transit Capacity and Quality of Service Manual, 2nd ed. Transportation Research Board of the National Academies, Wash- ington, D.C., 2003. 28. Strathman, J. G.,T. J.Kimpel,K. J.Dueker,R. L.Gerhart and S.Callas. “Evaluation of Transit Operations: Data Applications of Tri-Met’s Automated Bus Dispatching System.” Transportation, 29, 2002, pp. 321–345. 29. Strathman, J. G., T. J. Kimpel, K. J. Dueker, R. L. Gerhart, K. Turner, D. Griffin and S. Callas. “Bus Transit Operations Control: Review and an Experiment Involving Tri-Met’s Automated Bus Dispatch- ing System.” Journal of Public Transportation, 4, 2001, pp. 1–26. 30. Kimpel, T. J., J. G. Strathman, R. L. Bertini, and S. Callas. “Analysis of Transit Signal Priority Using Archived Tri-Met Bus Dispatch Sys- tem Data.” Transportation Research Record: Journal of the Trans- portation Research Board, No. 1925, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 156–166. 31. Muller, T. H. J. and P. G. Furth. “Integrating Bus Service Planning with Analysis, Operational Control, and Performance Monitoring.” In Proc., Intelligent Transportation Society of America Annual Meet- ing, Boston, 2000. 32. Furth, P. G. and T. H. J. Muller, “Conditional Bus Priority at Signal- ized Intersections: Better Service Quality with Less Traffic Disrup- tion.” Transportation Research Record: Journal of the Transportation Research Board, No. 1731, TRB, National Research Council, Wash- ington, D.C., 2000, pp. 23–30. 33. Furth, P. G. and F. B. Day.“Transit Routing and Scheduling Strate- gies for Heavy-Demand Corridors.” Transportation Research Record 1011, TRB, National Research Council, Washington, D.C., 1985, pp. 23–26. 34. Ceder, A. “Bus Timetables with Even Passenger Loads as Opposed to Even Headways.” Transportation Research Record: Journal of the Transportation Research Board, No. 1760, TRB, National Research Council, Washington, D.C., 2001, p. 3–9. 35. Wilson, N. H. M., D. Nelson, A. Palmere, T. H. Grayson, and C. Cederquist. “Service-Quality Monitoring for High-Frequency Transit Lines.” Transportation Research Record 1349, TRB, National Research Council, Washington, D.C., 1992, pp. 3–11. 36. AFNOR Certification. Service de Transport Urbain de Voyageurs: Reglement de Certification. Standard NF 286, 2002. http://www. afnor.fr, accessed May 1, 2005. 37. Kimpel, T. J., J. G. Strathman, D. Griffin, S. Callas, and R. L. Gerhart. “Automatic Passenger Counter Evaluation: Implications for National Transit Database Reporting.” Transportation Research Record: Jour- nal of the Transportation Research Board, No. 1835, Transportation Research Board of the National Academies,Washington, D.C., 2003, pp. 93–100. 38. Kemp, J. Archived Data Services: Lessons Learned–Things You Didn’t Have to Think About When It Was Just AVL. Presented at 81st Annual Meeting of the Transportation Research Board, Wash- ington, D.C., 2002. 39. Sampling Procedures for Obtaining Fixed Route Bus Operation Data Required Under the Section 15 Reporting System. Circular 2710.1A. FTA, U.S.DOT, Washington, D.C., 1990. 40. Townes, M. Letter to Acting FTA Administrator H. Walker. National Academy of Sciences Committee for the National Transit Database Study. June 1, 2001. 41. Evaluation of the Advanced Operating System of the Ann Arbor Transit Authority: Transfer and On-Time Performance Study: Before and After AOS Implementation. Electronic report EDL# 13147, ITS Office, U.S.DOT. 82

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 Using Archived AVL-APC Data to Improve Transit Performance and Management
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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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