Differentiated Analysis of Level of Service F within the German Highway Capacity Manual
Abstract
In the American as well as the German Highway Capacity Manual, the quality of service that is determined by different measures of effectiveness can be described by six levels of service. While there are five levels (A to E) to distinguish undersaturated flow conditions, only one level of service (LOS) describes congestion. A differentiation of oversaturated traffic flow conditions (LOS F) is not possible so far. As traffic networks have become more and more congested this is insufficient, and instruments are needed to identify the worst bottlenecks. The paper presents approaches for a division of LOS F into differentiated sublevels of saturated flow (F1 to F4) and proposes corresponding calculation methods. Different traffic flow models and queuing equations are considered for the estimation of travel times as a function of traffic demand. Four potential methods for standardization are discussed that differ in the performance measures used. They are described by using freeway sections as an example, but they can be applied for all types of road facilities. The methods are analyzed and compared in terms of their significance, their sensitivity, and the availability of input data. On that basis, a 24-h analysis of traffic performance is recommended for implementation within the guidelines because it is able to evaluate congestion in a multidimensional way. The evaluation methods developed within this research can be used to assess the quality of service on existing congested facilities depending on traffic demand. They can help decision making and ensure that funds are spent efficiently.
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References
1. Forschungsgesellschaft fuer Strassen- und Verkehrswesen (FGSV). Handbuch fuer die Bemessung von Strassenverkehrsanlagen (HBS). German Highway Capacity Manual. Ausgabe 2001, Fassung 2005, Koeln, Germany, 2005.
2. Highway Capacity Manual. TRB, National Research Council, Washington, D.C., 2000.
3. May A. D. Performance Measures and Levels of Service in the Year 2000 Highway Capacity Manual. NCHRP 3–55(4) Interim Report. Recommended Performance Measures and Levels of Service in the Year 2000 Highway Capacity Manual, 1996.
4. May A. D. Performance Measures and Levels of Service in the Year 2000 Highway Capacity Manual. NCHRP 3–55(4) final report. 1997.
5. Cameron P. E. G3 F7: An Expanded LOS Gradation System. ITE Journal, Vol. 66, 1996, pp. 40–41.
6. Baumgaertner W. E. Levels of Service: Getting Ready for the 21st Century. ITE Journal, Vol. 66, 1996, pp. 36–39.
7. Shaw T. NCHRP Synthesis 311: Performance Measures of Operational Effectiveness for Highway Segments and Systems. Transportation Research Board of the National Academies, Washington, D.C., 2003.
8. Bertini R. L. Congestion and Its Extent. Report. 2005. www.its.pdx.edu/pdf/bertini_congestion.pdf. Accessed March 17, 2006.
9. Schrank D., and Lomax T. The 2001 Urban Mobility Report. Texas Transportation Institute, Texas A & M University, College Station, 2001.
10. Schrank D., and Lomax T. The 2005 Urban Mobility Report. Texas Transportation Institute, Texas A & M University, College Station, 2005.
11. Lomax T., Turner S., Shunk G., Levinson H. S., Pratt R. H., Bay P. N., and Douglas G. B. NCHRP Report 398: Quantifying Congestion. Vol. 1, Final report. TRB, National Research Council, Washington, D.C., 1997.
12. Lighthill M. J., and Whitham G. A. On Kinematic Waves, Part II. A Theory of Traffic Flow on Long Crowded Roads. Proc. Royal Society of London, Vol. 229 A, No. 1178, 1955, pp. 317–345.
13. Brilon W., and Ponzlet M. Application of Traffic Flow Models. In Proceedings of the Workshop in Traffic and Granular Flow, World Scientific, Singapore, 1995.
14. Kimber R. M., and Hollis E. M. Traffic Queues and Delays at Road Junctions. TRRL Laboratory Report 909, 1979.
15. Brilon W., and Estel A. Differenzierte Bewertung der Qualitaetsstufen im HBS im Bereich der Ueberlastung. A Differentiated Evaluation of Levels of Service in the Range of Congestion Within the German Highway Capacity Manual. Heft 999, Schriftenreihe Forschung Strassenbau und Strassenverkehrstechnik, Bonn, Germany, 2008.
16. Brilon W., Geistefeldt J., and Regler M. Reliability of Freeway Traffic Flow: A Stochastic Concept of Capacity. In Transportation and Traffic Theory: Flow, Dynamics and Human Interaction (Mahmassani H. S., ed.), Proceedings of the 16th International Symposium on Transportation and Traffic Theory, Elsevier, Oxford, 2005.
17. Banks J. H. The Two-Capacity Phenomenon: Some Theoretical Issues. In Transportation Research Record 1320, TRB, National Research Council, Washington, D.C., 1991, pp. 234–241.
18. Hall F. L., and Agyemang-Duah K. Freeway Capacity Drop and the Definition of Capacity. In Transportation Research Record 1320, TRB, National Research Council, Washington, D.C., 1991, pp. 91–98.
19. Ponzlet M. Auswirkungen von systematischen und umfeldbedingten Schwankungen des Geschwindigkeitsverhaltens und deren Beschreibung in Verkehrsflussmodellen. Effects of Systematic and Environmental Fluctuations of Speed Performance and Their Description Within Traffic Flow Models. Heft 16, Schriftenreihe des Lehrstuhls fuer Verkehrswesen der Ruhr-Universitaet Bochum, Bochum, Germany, 1996.
20. Brilon W., and Zurlinden H. Kapazitaet von Strassen als Zufallsgroesse. Road Capacity As Random Parameter. Strassenverkehrstechnik, 2004, pp. 164–172.
21. Elefteriadou L., Roess R. P., and McShane W. R. Probabilistic Nature of Breakdown at Freeway Merge Junctions. In Transportation Research Record 1484, TRB, National Research Council, Washington, D.C., 1995, pp. 80–89.
22. Minderhoud M. M., Botma H., and Bovy P. H. L. Assessment of Roadway Capacity Estimation Methods. In Transportation Research Record 1572, TRB, National Research Council, Washington, D.C., 1997, pp. 59–67.
23. Persaud B. N., and Hurdle V. F. Some New Data That Challenge Some Old Ideas About Speed–Flow Relationships. In Transportation Research Record 1194, TRB, National Research Council, Washington, D.C., 1988, pp. 191–198.
24. Kuehne R. D., and Anstett N. Stochastic Methods for Analysis of Traffic Pattern Formation. Proc. 14th International Symposium on Transportation and Traffic Theory, Verlag Elsevier, Jerusalem, 1999.
25. Lorenz M., and Elefteriadou L. A Probabilistic Approach to Defining Freeway Capacity and Breakdown. In Transportation Research Circular E-C018, TRB, National Research Council, Washington, D.C., 2000, pp. 84–95.
26. Okamura H., Watanabe S., and Watanabe T. An Empirical Study on the Capacity of Bottlenecks on the Basic Suburban Expressway Sections in Japan. In Transportation Research Circular E-C018, TRB, National Research Council, Washington, D.C., 2000, pp. 120–129.
27. Brilon W., and Zurlinden H. Ueberlastungswahrscheinlichkeiten und Verkehrsleistung als Bemessungskriterium fuer Strassenverkehrsanlagen. Breakdown Probabilities and Traffic Performance As Criteria for the Design of Traffic Elements. Heft 870, Schriftenreihe Forschung Strassenbau und Strassenverkehrstechnik, Bonn, Germany, 2003.
28. Regler M. Verkehrsablauf und Kapazitaet auf Autobahnen. Traffic Performance and Capacity on Freeways. Heft 28, Schriftenreihe des Lehrstuhls fuer Verkehrswesen der Ruhr-Universitaet Bochum, Bochum, Germany, 2004.
29. Brilon W., Geistefeldt J., and Regler M. Randomness of Capacity: Idea and Application. Proceedings of the 5th International Symposium on Highway Capacity and Quality of Service, Vol. 1, Yokohama, Japan, 2006, pp. 147–157.
30. Geistefeldt J. Verkehrsablauf und Verkehrssicherheit auf Autobahnen mit vierstreifigen Richtungsfahrbahnen. Traffic Performance and Safety on Freeways with Four-Lane Carriageways. Heft 30, Schriftenreihe des Lehrstuhls fuer Verkehrswesen der Ruhr-Universitaet Bochum, Bochum, Germany, 2007.
31. Chen C., Skabardonis A., and Varaiya P. Travel Time Reliability as a Measure of Service. In Transportation Research Record: Journal of the Transportation Research Board, No. 1855, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 74–79.
32. Time Reliability: Making It There On Time, All The Time. FHWA. February 7, 2006. http://www.ops.fhwa.dot.gov/publications/tt_reliability/brochure/index.htm.
33. Geistefeldt J. Schaetzung von Reisezeiten auf Autobahnen unter Verwendung eines erweiterten Verkehrsflussmodells. Estimation of Travel Times on Freeways by Using an Extended Traffic Flow Model. Tagungsband zur HEUREKA '05–Optimierung in Verkehr und Transport. Forschungsgesellschaft fuer Strassen-und Verkehrswesen, Koeln, Germany, 2005.
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Article first published online: January 1, 2010
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