SHRP2
CHAPTER 1 REFERENCES
1. Kwon, Jaimyoung, Michael Mauch and Pravin Varaiya. Components of
Congestion: Delay from Incidents, Special Events, Lane Closures, Weather,
Potential Ramp Metering Gain, and Excess Demand. Transportation
Research Board, Transportation Research Record No. 1959 (2006).
CHAPTER 2 REFERENCES
1. Shrank, D. and Lomax, T. 2005 Urban Mobility Report, Texas Transportation
Institute.
2. Cambridge Systematics, Inc. Traffic Congestion and Reliability: Trends and
Advanced Strategies for Congestion Mitigation. Prepared for the Federal
Highway Administration (2005)
3. Kwon, J., Mauch, M. and Varaiya, P. The Components of Congestion: Delay
From Incidents, Special Events, Lane Closures, Weather, Potential Ramp
Metering Gain, and Excess Demand. Transportation Research Board,
Transportation Research Record No. 1959 (2006)
CHAPTER 4 REFERENCES
1. Anxi Jia. Billy M. Williams, and Nagui M. Rouphail. “Identification and
Calibration of Site Specific Stochastic Freeway Breakdown and Queue
Discharge”, In press, Transportation Research Record, 2010.
2. HCM, Highway Capacity
Washington D.C, 2000.
Manual.
Transportation
Research
Board,
3. ELEFTERIADOU, L., ROESS, R.P. and MCSHANE, W.R. Probabilistic
Nature of Breakdown at Freeway Merge Junctions. In Transportation
Research Record: Journal of the Transportation Research Board, No. 1484,
Transportation Research Board of the National Academies, Washington D.C.,
1995.
4. MINDERHOUD, M.M., BOTMA, H. and BOVY, P.H.L. Roadway Capacity
Estimation Methods Explained and Assessed. In Transportation Research
Record: Journal of the Transportation Research Board, No. 1572,
Transportation Research Board of the National Academies, Washington D.C.,
1997.
5. PERSAUD, B., YAGAR, S. and BROWNLEE, R. Exploration of the
Breakdown Phenomenon in Freeway Traffic. In Transportation Research
Record: Journal of the Transportation Research Board, No. 1634,
Transportation Research Board of the National Academies, Washington D.C.,
1998.
6. KUEHNE, R.D. and ANSTETT, N. Stochastic Methods for Analysis of Traffic
Pattern Formation. Proceedings of the 14th International Symposium on
Transportation and Traffic Theory. Jerusalem, 1999.
7. LORENZ, M. and ELEFTERIADOU, L. A Probabilistic Approach to Defining
Freeway Capacity and Breakdown. Proceedings of the 4th International
FINAL DRAFT April 2010
Page 9-1
Chapter 9
SHRP2
Symposium on Highway Capacity, pp. 84-95. TRB-Circular E-C018,
Transportation Research Board, Washington D.C, 2000.
8. OKAMURA, H., WATANABE, S. and WATANABE, T. An Empirical Study
on the Capacity of Bottlenecks on the Basic Suburban Expressway Sections in
Japan. Proceedings of the 4th International Symposium on Highway
Capacity, pp. 120-129. TRB Circular E-C018, Transportation Research Board,
Washington D.C, 2000.
9. ZURLINDEN, H. Ganzjahresanalyse des Verkehrsflusses auf Straben
(Whole-Year-Analysis of Highway Traffic). Doctoral Thesis, Institute for
Transportation and Traffic Engineering, Ruhr-University Bochum, No. 26.
Bochum, 2003.
10. BRILON, W., GEISTEFELDT, J. and REGLER, M. Reliability of Freeway
Traffic Flow: A Stochastic Concept of Capacity. Proceedings of the 16th
International Symposium on Transportation and Traffic Theory. College
Park, Maryland, 2005.
11. BRILON, W., GEISTEFELDT, J. AND ZURLINDEN, H. Implementing the
Concept of Reliability for Highway Capacity Analysis, In Transportation
Research Record: Journal of the Transportation Research Board, No. 2027,
Transportation Research Board of the National Academies, Washington D.C.,
2007.
12. DONG, J. and MAHMASSANI, H.S. Flow Breakdown and Travel Time
Reliability. Forthcoming in Transportation Research Record: Journal of the
Transportation Research Board, 2009.
13. TRANSGUIDE, http://www.transguide.dot.state.tx.us/ Accessed January 6,
2009
14. PeMS, https://pems.eecs.berkeley.edu/?redirect=%2F%2F%3Fdnode%3DState
Accessed January 18, 2009
15. CHEN, C.A., A. SKABARDONIS, P. VARAIYA. Systematic Identification of
Freeway Bottlenecks," In Transportation Research Record: Journal of the
Transportation Research Board, No. 1867, Transportation Research Board of
the National Academies, Washington D.C., 2004.
16. ELEFTERIADOU, L. R.P. ROESS, W.R. MCSHANE "The Probabilistic Nature
of Breakdown at Freeway Merge Junctions," In Transportation Research
Record: Journal of the Transportation Research Board, No. 1484,
Transportation Research Board of the National Academies, Washington D.C.,
1995.
17. SNEDECOR, GEORGE W. and COCHRAN, William G. Statistical Methods,
Eighth Edition, Iowa State University Press, 1989.
18. NIST/SEMATECH, "e-Handbook of Statistical Methods," 2005.
19. CHAKRAVARTI, LAHA, and ROY. Handbook of Methods of Applied
Statistics, Volume I, John Wiley and Sons, 1967, pp. 392-394.
20. DONG, J. and MAHMASSANI, H.S. Flow Breakdown, Travel Reliability and
Real-time Information in Route Choice Behavior. Forthcoming in the
proceedings of the 18th International Symposium on Transportation and
Chapter 9
Page 9-2
FINAL DRAFT April 2010
SHRP2
Traffic Theory, 2009.
CHAPTER 5 REFERENCES
1. Ackelik & Associates (2004). aaSIDRA User Guide, Akcelik and Associates
Pty Ltd, Melbourne, Australia.
2. Daganzo, C. (1993). “The Cell Transmission Model. Part I: A Simple Dynamic
Representation of Highway Traffic,” Transportation Research B, Vol. 28, pp.
269–287.
3. Highway Capacity Manual (2000), Transportation Research Board, National
Research Council, Washington D.C.
4. Hillier, F.S. and G.J. Lieberman (1990). Introduction to Operations Research
(5th Ed.), McGraw- Hill, New York, NY, 561-930.
5. Kikuchi, S., P. Chakroborty, and K. Vukadinovic (1993). “Lengths of LeftTurn Lanes at Signalized Intersections,” Transportation Research Record:
Journal of the Transportation Research Board, No.1385, TRB, National
Research Council, Washington, D.C., 162-171.
6. Kikuchi, S., M. Kii, and P. Chakroborty (2004). “Lengths of Double or Dual
Left-Turn Lanes,” Transportation Research Record: Journal of the
Transportation Research Board, No. 1881, TRB, National Research Council,
Washington, D.C., 72-78.
7. Kikuchi, S., N. Kronprasert and M. Kii (2007). “Lengths of Turn Lanes on
Intersection Approaches: Three-Branch Fork Lanes- Left-Turn, Through, and
Right-Turn Lanes,” Transportation Research Record: Journal of the
Transportation Research Board, No. 2023, TRB, National Research Council,
Washington, D.C., 92-101.
8. Kikuchi, S. and N. Kronprasert (2008). “Determining the Length of the RightTurn Lane at a Signalized Intersection,” Transportation Research Record:
Journal of the Transportation Research Board, No. 2060, TRB, National
Research Council, Washington, D.C., 19-28.
9. Lighthill, M.J. and G.B. Whitham (1955). “On Kinematic Waves II: A Theory
of Traffic Flow on Long Crowded Roads,” Proceedings of the Royal Society,
London Ser. A., 229(1178), 317-345.
10. Neuman, T.R. (1985). “NCHRP Report 279: Intersection Channelization
Design Guide,” TRB, National Research Council, Washington, D.C.
11. NGSIM (2009). Federal Highway Administration, U.S. Department of
Transportation, <http://www.ngsim.fhwa.dot.gov>
12. Oppenlander, J.C. and J.E. Oppenlander (1989). “Design Lengths of Left- or
Right-Turn Lanes with Separate Signal Phases,” ITE Journal, 59(7), 23-26.
13. PTV AG (2008), “VISSIM,” [CD-ROM], Karlsruhe, Germany.
14. Qi, Y., L. Yu, M. Azimi and L. Gui (2007). “Determination of Storage Lengths
of Left-Turn Lanes at Signalized Intersections,” Transportation Research
Record: Journal of the Transportation Research Board, No. 2023, TRB,
National Research Council, Washington, D.C., 102-111.
FINAL DRAFT April 2010
Page 9-3
Chapter 9
SHRP2
15. Reynolds, W.L. (2010) “Sustainable Service Rate Analysis at Signalized
Intersections with Short
16.
Left Turn Pockets Using Macroscopic Simulation,” Master of Science
thesis submitted to NC State University under the direction of N.M.
Rouphail.
17. Reynolds, W.L., X. Zhou, N.M. Rouphail and M. Li (2010). “Estimating
Sustained Service Rates at Signalized Intersections with Short Left Turn
Pockets: A Mesoscopic Approach,” Transportation Research Record: Journal
of the Transportation Research Board, (pending publication), Transportation
Research Board of the National Academies, Washington, D.C.
18. Rouphail, N.M., and R.A. Akcelik (1998). “A Preliminary Model of Queue
Interaction at
19.
Signalized Paired Intersections,” Proceedings 16th ARRB Conference,
Part 5, Australian Road Research Board, Ltd., Vermont South, Victoria,
Australia, 1998, pp. 325-345.
20. Tian, Z. and N. Wu (2006). “Probabilistic Model for Signalized Intersection
Capacity with a Short Right-Turn Lane,” Journal of Transportation
Engineering, 132(3), 205-212.
21. Viloria, F., K. Courage and D. Avery (2000). “Comparison of Queue-Length
Models at Signalized Intersections,” Transportation Research Record: Journal
of the Transportation Research Board, No. 1710, TRB, National Research
Council, Washington, D.C., 222-230.
22. Wu, N. Total Approach Capacity at Signalized Intersections with SharedShort Lanes – A Generalized Model Based on Simulation Study. In
Transportation Research Record: Journal of the Transportation Research
Board, No. 2027, Transportation Research Board of the National Academies,
Washington, D.C., 2008, pp. 19-26.
23. Zhang, Y. and J. Tong (2008). “Modeling Left-Turn Blockage and Capacity at
Signalized Intersection with Short Left-Turn Bay,” Transportation Research
Record: Journal of the Transportation Research Board, No. 2071, TRB,
National Research Council, Washington, D.C., 71-76.
CHAPTER 6 REFERENCES
1. McCann, Ian (2008-07-10). "McKinney falls to third in rank of fastest-growing
cities
in
U.S.".The
Dallas
Morning
News.
http://www.dallasnews.com/sharedcontent/dws/dn/latestnews/stories/07100
8dnmetpopulation.43799b9.html
2. "Table 1: Annual Estimates of the Population for Incorporated Places Over
100,000, Ranked by July 1, 2007 Population: April 1, 2000 to July 1, 2007"
(CSV). 2007 Population Estimates. United States Census Bureau, Population
Division.
3. Mahmassani, H. and H. Sbayti. DYNASMART-P User’s Guide Version 1.2.
Maryland Transportation Initiative, 2005.
Chapter 9
Page 9-4
FINAL DRAFT April 2010
SHRP2
CHAPTER 8 REFERENCES
1. Brilon W, Geistefeldt J, Regler M. (2005) Reliability of freeway traffic flow: A
stochastic concept of capacity. In: Proceed-ings of the 16th International
Symposium on Transportation and Traffic Theory. College Park, Maryland,
125-144.
2. Brilon W, Geistefeldt J, Zurlinden H. (2007) Implementing the concept of
reliability for highway capacity analysis. Transportation Research Record:
Journal of the Transportation Research Board, 2027: 1-8.
3. Cambridge Systematics (2005) Traffic Congestion and Reliability: Trends and
Advanced Strategies for Congestion Mitigation, Federal Highway
Administration.
4. (www.ops.fhwa.dot.gov/congestion_report/index.htm).
5. Chen, R. and Mahmassani, H. S. (2004) Travel time perception and learning
mechanisms in traffic networks, Transportation Res. Record, v1894, pp. 209221.
6. Chen, C., A. Skabardonis, P. Varaiya. (2004) Systematic Identification of
Freeway Bottlenecks. Transportation Research Record, No. 1867, Journal of
the Transportation Research Board.
7. Chorus, C.G., E.J.E. Molin, G.P. van Wee (2006) Use and effects of Advanced
Traveller Information Services (ATIS): a review of the literature, in:
Transport Reviews 26, pp 127-149.
8. de Palma, A. and N. Picard (2005) “Route choice decision under travel time
uncertainty”, Transportation Research Part A 39A, 295-324.
9. Jia, A., Williams, B.M., Rouphail, N.M. (2010) Identification and calibration of
site specific stochastic freeway breakdown and queue discharge. Accepted
for publication in Journal of Transportation Research Board.
10. Lo, H. K., Chen, A., 2000. Reformulating the general traffic equilibrium
problem via a smooth gap function. Mathematical and Computer Modeling
31(2/3), 179-195.
11. Lu, C-C., Mahmassani, H.S. and Zhou, X. (2009) Equivalent Gap FunctionBased Reformulation and Solution Algorithm for the Dynamic User
Equilibrium Problem. Transportation Research Part B. Vol. 43, No. 3, pp. 345364
12. Mahmassani, H. (2001) “Dynamic Network Traffic Assignment and
Simulation Methodology for Advanced System Management Applications”,
Networks and Spatial Economics , Vol. 1, Springer, pp. 267–292.
FINAL DRAFT April 2010
Page 9-5
Chapter 9
SHRP2
13. Miller-Hooks, E.D. and Mahmassani, H.S. (2000) Least Expected Time Paths
in Stochastic, Time-Varying Transportation Networks, Transportation
Science, Vol. 34, No. 2, pp. 198-215.
14. Noland, R. B., Polak, J. W. (2002) Travel Time Variability: A Review of
Theoretical and Empirical Issues, Transport Reviews, 22 (1), pp. 39-54.
15. Noland, R.B., Small, K.A., Koskenoja, P.M., Chu, X. (1998) Simulating travel
reliability. Regional Science and Urban Economics 28(5), 535-564.
16. Peeta, S., Ziliaskopoulos, A. K. (2001) Foundations of dynamic traffic
assignment: the past, the present and the future. Networks and Spatial
Economics 1(3/4), pp. 233-265.
17. Ramming, M.S. (2002) Network Knowledge and Route Choice. PhD thesis,
Department of Civil and Environmental Engineering, Massachusetts Institute
of Technology.
18. Sheffi, Y. (1985) Urban Transportation Networks: Equilibrium Analysis with
Mathematical Programming Methods. NJ: Prentice-Hall.
19. Smith, M. J. (1993) A new dynamic traffic model and the existence and
calculation of dynamic user equilibrium on congested capacity-constrained
road networks. Transportation Research Part B 27(1), pp. 49-63.
20. Yang, H. (1998) Multiple equilibrium behavior and advanced traveler
information systems with endogenous market penetration. Transportation
Research Part B, Vol. 32, pp. 205-218.
21. Yang, H., Kitamura, R., Jovanis, P., Vaughn, K.M., Abdel-Aty, M.A. (1993)
Exploration of route choice behavior with advanced travel information using
neural network concept. Transportation 20, 199–223.
22. Yang, Hai & Meng, Qiang, (2001) "Modeling user adoption of advanced
traveler information systems: dynamic evolution and stationary
equilibrium," Transportation Research Part A: Policy and Practice, Elsevier,
vol. 35(10), pages 895-912.
23. Ziliaskopoulos, A. K., Mahmassani, H. S.(1993) Time Dependent ShortestPath Algorithm for Real-Time Intelligent Vehicle Highway System
Applications. Transportation Research Record 1408, pp. 94-100.
24. Yang, H., Ma, O.S., Wong, S.C. (1999) New observations on the benefit
evaluation of advanced traveler information systems. ITS Journal 5, 251–274.
25. Yin, Y., and Yang, H. (2003) Simultaneous determination of the equilibrium
market penetration and compliance rate of advanced traveler information
systems, Transportation Research, Part A, Vol.37, No.2, 165-181.
Chapter 9
Page 9-6
FINAL DRAFT April 2010