Convergence behavior for traffic assignment characterization metrics

References

• Astroza, Sebastian, Priyadarshan N. Patil, Katherine I. Smith, and Chandra R. Bhat. 2017. “Transportation Planning to Accommodate Needs of Wind Energy Projects.” Transportation Research Record: Journal of the Transportation Research Board 2669 (1): 10–18.
   Google Scholar
• Babazadeh, Abbas, Babak Javani, Guido Gentile, and Michael Florian. 2020. “Reduced Gradient Algorithm for User Equilibrium Traffic Assignment Problem.” Transportmetrica A: Transport Science 16 (3): 1111–1135.
   Web of Science ®Google Scholar
• Bar-Gera, Hillel. 2002. “Origin-based Algorithm for the Traffic Assignment Problem.” Transportation Science 36 (4): 398–417.
   Web of Science ®Google Scholar
• Bar-Gera, Hillel. 2006. “Primal Method for Determining the Most Likely Route Flows in Large Road Networks.” Transportation Science 40 (3): 269–286.
   Web of Science ®Google Scholar
• Bar-Gera, Hillel. 2010. “Traffic Assignment by Paired Alternative Segments.” Transportation Research Part B: Methodological 44 (8–9): 1022–1046.
   Web of Science ®Google Scholar
• Bar-Gera, Hillel, and Amos Luzon. 2007. “Differences Among Route Flow Solutions for the User-equilibrium Traffic Assignment Problem.” Journal of Transportation Engineering 133 (4): 232–239.
   Google Scholar
• Beckmann, Martin, Charles B. McGuire, and Christopher B. Winsten. 1956. Studies in the Economics of Transportation. Technical Report RM-1488-PR. RAND Corporation.
   Google Scholar
• Bliemer, Michiel C. J., and Mark P. H. Raadsen. 2020. “Static Traffic Assignment with Residual Queues and Spillback.” Transportation Research Part B: Methodological 132: 303–319.
   Web of Science ®Google Scholar
• Bliemer, Michiel C. J., Mark P. H. Raadsen, Luuk J. N. Brederode, Michael G. H. Bell, Luc J. J. Wismans, and Mike J. Smith. 2017. “Genetics of Traffic Assignment Models for Strategic Transport Planning.” Transport Reviews 37 (1): 56–78.
   Web of Science ®Google Scholar
• Boyce, David, Biljana Ralevic-Dekic, and Hillel Bar-Gera. 2004. “Convergence of Traffic Assignments: How Much is Enough?” Journal of Transportation Engineering 130 (1): 49–55.
   Google Scholar
• Boyles, Stephen D. 2012. “Bush-based Sensitivity Analysis for Approximating Subnetwork Diversion.” Transportation Research Part B: Methodological 46 (1): 139–155.
   Web of Science ®Google Scholar
• Boyles, Stephen D. 2019. “tap-b Implementation.” Accessed May 25, 2019. https://github.com/spartalab/tap-b
   Google Scholar
• Boyles, Stephen D., Nicholas E. Lownes, and A. Unnikrishnan. 2020. Transportation Network Analysis. Vol. 1.
   Google Scholar
• Boyles, Stephen, Priyadarshan Patil, Venktesh Pandey, and Cesar Yahia. 2018. Beyond Political Boundaries: Constructing Network Models for Megaregion Planning. Technical Report CM2-11. The consortium of Cooperative Mobility for Competitive Megaregions (CM2).
   Google Scholar
• Boyles, Stephen D., and Natalia Ruiz Juri. 2019. “Queue Spillback and Demand Uncertainty in Dynamic Network Loading.” Transportation Research Record: Journal of the Transportation Research Board2673 (2): 38–48.
   Web of Science ®Google Scholar
• Bureau of Public Roads. 1964. Traffic Assignment Manual for Application with a Large, High Speed Computer. Vol. 37. US Department of Commerce, Bureau of Public Roads, Office of Planning.
   Google Scholar
• Bureau of Transportation Statistics. 2015. “Travel Time Index.” Accessed June 25, 2019. https://www.bts.gov/content/travel-time-index
   Google Scholar
• California Department of Transportation. 2015. “CalTrans Strategic Management Plan 2015–2020.” Accessed May 25, 2019. https://www.dot.ca.gov/perf/library/pdf/Caltrans_Strategic_Mgmt_Plan_033015.pdf
   Google Scholar
• Caliper Corporation. 2018. TransCAD Version 8 User Guide. Newton, MA: Caliper Corporation.
   Google Scholar
• Cherlow, Jay R. 1981. “Measuring Values of Travel Time Savings.” Journal of Consumer Research 7 (4): 360–371.
   Web of Science ®Google Scholar
• Daneva, Maria, and Per Olov Lindberg. 2003. “A Conjugate Direction Frank-Wolfe Method with Applications to the Traffic Assignment Problem.” In Operations Research Proceedings 2002, 133–138. Springer.
   Google Scholar
• Daniels, Ginger, David R. Ellis, and Win R. Stockton. 1999. Techniques for Manually Estimating Road User Costs Associated with Construction Projects. Vol. 3. College Station, TX: Texas Transportation Institute.
   Google Scholar
• Dial, Robert B. 2006. “A Path-based User-equilibrium Traffic Assignment Algorithm that Obviates Path Storage and Enumeration.” Transportation Research Part B: Methodological 40 (10): 917–936.
   Web of Science ®Google Scholar
• Duthie, Jennifer C., Avinash Unnikrishnan, and S. Travis Waller. 2011. “Influence of Demand Uncertainty and Correlations on Traffic Predictions and Decisions.” Computer-Aided Civil and Infrastructure Engineering 26 (1): 16–29.
   Web of Science ®Google Scholar
• Florian, Michael, Isabelle Constantin, and Dan Florian. 2009. “A New Look At Projected Gradient Method for Equilibrium Assignment.” Transportation Research Record: Journal of the Transportation Research Board 2090 (1): 10–16.
   Google Scholar
• Frank, Marguerite, and Philip Wolfe. 1956. “An Algorithm for Quadratic Programming.” Naval Research Logistics Quarterly 3 (1–2): 95–110.
   Google Scholar
• Galligari, Alessandro, and Marco Sciandrone. 2019. “A Computational Study of Path-based Methods for Optimal Traffic Assignment with Both Inelastic and Elastic Demand.” Computers & Operations Research 103: 158–166.
   Web of Science ®Google Scholar
• Gentile, Guido. 2014. “Local User Cost Equilibrium: A Bush-based Algorithm for Traffic Assignment.” Transportmetrica A: Transport Science 10 (1): 15–54.
   Web of Science ®Google Scholar
• Harrison, R., M. Schofield, L. Loftus-Otway, D. Middleton, and J. West. 2006. Freight Performance Measures Guide. Project Progress Report no. 0-5410-P3. Texas Department of Transportation.
   Google Scholar
• Higgins, S. F. 2013. “Estimating Economic Impacts from Transportation Investments Using the Texas Statewide Analysis Model and TREDIS.” BS thesis, The University of Texas at Austin, Austin, TX.
   Google Scholar
• Holguín-Veras, José, Coral A. Torres Cruz, and Xuegang Ban. 2013. “On the Comparative Performance of Urban Delivery Vehicle Classes.” Transportmetrica A: Transport Science 9 (1): 50–73.
   Web of Science ®Google Scholar
• Jafari, Ehsan, Venktesh Pandey, and Stephen D. Boyles. 2017. “A Decomposition Approach to the Static Traffic Assignment Problem.” Transportation Research Part B: Methodological 105: 270–296.
   Web of Science ®Google Scholar
• Jayakrishnan, R., Wei T. Tsai, Joseph N. Prashker, and Subodh Rajadhyaksha. 1994. A Faster Path-Based Algorithm for Traffic Assignment. Technical Report. University of California Transportation Center.
   Google Scholar
• Josefsson, Magnus, and Michael Patriksson. 2007. “Sensitivity Analysis of Separable Traffic Equilibrium Equilibria with Application to Bilevel Optimization in Network Design.” Transportation Research Part B: Methodological 41 (1): 4–31.
   Web of Science ®Google Scholar
• Lessan, Javad, and Liping Fu. 2019. “Credit-and Permit-based Travel Demand Management State-of-the-Art Methodological Advances.” Transportmetrica A: Transport Science 1–24. https://doi.org/https://doi.org/10.1080/23249935.2019.1692963.
   Google Scholar
• Litman, Todd. 2016. Well Measured. Victoria, Boritish Columbia: Victoria Transport Policy Institute.
   Google Scholar
• Lundgren, Jan T., and Anders Peterson. 2008. “A Heuristic for the Bilevel Origin–Destination-matrix Estimation Problem.” Transportation Research Part B: Methodological 42 (4): 339–354.
   Web of Science ®Google Scholar
• Maryland Department of Transportation. 2018. “Maryland Department of Transportation Strategic Plan.” Accessed May 25, 2019. https://www.roads.maryland.gov/OPPEN/2018_MDOT_TSMO_Strategic_Plan.pdf
   Google Scholar
• Mitradjieva, Maria, and Per Olov Lindberg. 2013. “The Stiff is Moving – Conjugate Direction Frank-Wolfe Methods with Applications to Traffic Assignment.” Transportation Science 47 (2): 280–293.
   Web of Science ®Google Scholar
• Moudon, Anne Vernez, and Orion Stewart. 2013. “Tools for Estimating VMT Reductions from Built Environment Changes.” Washington State Department of Transportation, Olympia, Washington.
   Google Scholar
• Nie, Yu Marco. 2010. “A Class of Bush-based Algorithms for the Traffic Assignment Problem.” Transportation Research Part B: Methodological 44 (1): 73–89.
   Web of Science ®Google Scholar
• North Carolina Department of Transportation. 2015. “North Carolina Department of Transportation Strategic Plan F.Y. 2018–2022.” Accessed May 25, 2019. https://www.ncdot.gov/about-us/our-mission/Performance/Documents/StrategicPlan_2015_2017.pdf
   Google Scholar
• Patriksson, Michael. 1994. The Traffic Assignment Problem: Models and Methods. Mineola, New York: VSP.
   Google Scholar
• Perederieieva, Olga, Matthias Ehrgott, Andrea Raith, and Judith Y. T. Wang. 2015. “A Framework for and Empirical Study of Algorithms for Traffic Assignment.” Computers & Operations Research 54: 90–107.
   Web of Science ®Google Scholar
• Qian, Z., and M. H. Zhang. 2012. “Full Closure Or Partial Closure? Evaluation of Construction Plans for the I-5 Closure in Downtown Sacramento.” Journal of Transportation Engineering 139 (3): 273–286.
   Google Scholar
• Remi-Omosowon, Ayodeji. 2020. “Pyeasyga Repository.” Accessed May 25, 2020. https://github.com/remiomosowon/pyeasyga
   Google Scholar
• Rose, Geoffrey, Mark S. Daskin, and Frank S. Koppelman. 1988. “An Examination of Convergence Error in Equilibrium Traffic Assignment Models.” Transportation Research Part B: Methodological 22 (4): 261–274.
   Web of Science ®Google Scholar
• Rossi, Thomas F., Sue McNeil, and Chris Hendrickson. 1989. “Entropy Model for Consistent Impact-Fee Assessment.” Journal of Urban Planning and Development 115 (2): 51–63.
   Web of Science ®Google Scholar
• Schneck, Arne, and Klaus Nökel. 2020. “Accelerating Traffic Assignment with Customizable Contraction Hierarchies.” Transportation Research Record: Journal of the Transportation Research Board 2674 (2): 0361198119898455.
   Google Scholar
• Seattle Department of Transportation. 2016. “Seattle Department of Transportation Strategic Plan F.Y. 2018–2022.” Accessed May 25, 2019. https://www.seattle.gov/Documents/Departments/SDOT/TechnologyProgram/ITSStrategicPlan20102020.pdf
   Google Scholar
• Shayanfar, Elham, and Paul Schonfeld. 2019. “Selecting and Scheduling Interrelated Road Projects with Uncertain Demand.” Transportmetrica A: Transport Science 15 (2): 1712–1733.
   Web of Science ®Google Scholar
• Stabler, Ben. 2019. “Transportation Networks.” Accessed May 25, 2019. https://github.com/bstabler/TransportationNetworks
   Google Scholar
• Ukkusuri, Satish V., Tom V. Mathew, and S. Travis Waller. 2007. “Robust Transportation Network Design Under Demand Uncertainty.” Computer-Aided Civil and Infrastructure Engineering 22 (1): 6–18.
   Web of Science ®Google Scholar
• US Department of Transportation. 2016. “US Department of Transportation Value of Time Memorandum.” Accessed May 25, 2019. https://www.transportation.gov/sites/dot.gov/files/docs/Value%20of%20Travel%20Time%20Memorandum.pdf
   Google Scholar
• US Department of Transportation. 2017. “US Department of Transportation Strategic Plan F.Y. 2018–2022.” Accessed May 25, 2019. https://www.transportation.gov/sites/dot.gov/files/docs/mission/administrations/office-policy/304866/dot-strategic-planfy2018-2022508.pdf
   Google Scholar
• Waller, S. Travis, Joseph L. Schofer, and Athanasios K. Ziliaskopoulos. 2001. “Evaluation with Traffic Assignment Under Demand Uncertainty.” Transportation Research Record: Journal of the Transportation Research Board 1771 (1): 69–74.
   Google Scholar
• Weisbrod, Glen. 2008. “Models to Predict the Economic Development Impact of Transportation Projects: Historical Experience and New Applications.” The Annals of Regional Science 42 (3): 519–543.
   Web of Science ®Google Scholar
• Xie, Jun, and Chi Xie. 2015. “Origin-based Algorithms for Traffic Assignment: Algorithmic Structure, Complexity Analysis, and Convergence Performance.” Transportation Research Record: Journal of the Transportation Research Board 2498 (1): 46–55.
   Google Scholar
• Yang, Hai. 1995. “Heuristic Algorithms for the Bilevel Origin-destination Matrix Estimation Problem.” Transportation Research Part B: Methodological 29 (4): 231–242.
   Web of Science ®Google Scholar
• Yang, Hai. 1997. “Sensitivity Analysis for the Elastic-demand Network Equilibrium Problem with Applications.” Transportation Research Part B: Methodological 31 (1): 55–70.
   Web of Science ®Google Scholar
• Yang, Hai, and Michael G. H. Bell. 1998. “Models and Algorithms for Road Network Design: A Review and Some New Developments.” Transport Reviews 18 (3): 257–278.
   Web of Science ®Google Scholar
• Yang, Hai, and William H. K. Lam. 1996. “Optimal Road Tolls Under Conditions of Queueing and Congestion.” Transportation Research Part A: Policy and Practice 30 (5): 319–332.
   Web of Science ®Google Scholar
• Yin, Yafeng. 2000. “Genetic-Algorithms-Based Approach for Bilevel Programming Models.” Journal of Transportation Engineering 126 (2): 115–120.
   Web of Science ®Google Scholar
• Zhao, Yong, and Kara Maria Kockelman. 2002. “The Propagation of Uncertainty Through Travel Demand Models: An Exploratory Analysis.” The Annals of Regional Science 36 (1): 145–163.
   Web of Science ®Google Scholar