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Articles

How accurate is the regional travel demand model in mimicking real-world travel times?

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Pages 53-73 | Received 24 Mar 2019, Accepted 26 Aug 2019, Published online: 13 Sep 2019

References

  • Bagley, M. N., & Mokhtarian, P. L. (2002). The impact of residential neighborhood type on travel behavior: A structural equations modeling approach. The Annals of Regional Science, 36(2), 279–297.
  • Bell, M. G., & Cassir, C. (2002). Risk-averse user equilibrium traffic assignment: An application of game theory. Transportation Research Part B: Methodological, 36(8), 671–681.
  • Bruynooghe, M., & Gibert, A. M. (1968). Sakarovitch Une methode d’Affectation du trafic. Fourth Symposium on the Theory of Traffic Flow, Karlsruhe, Germany.
  • Carrion, C., & Levinson, D. (2012). Value of travel time reliability: A review of current evidence. Transportation Research Part A: Policy and Practice,46(4), 720–741.
  • Crane, R., & Crepeau, R. (1998). Does neighborhood design influence travel?: A behavioral analysis of travel diary and gis data. Transportation Research Part D: Transport and Environment, 3(4), 225–238.
  • Dafermos, S. C. (1971). An extended traffic assignment model with applications to two-way traffic. Transportation Science, 5(4), 366–389.
  • Dial, R. B. (1971). A probabilistic multipath traffic assignment model which obviates path enumeration. Transportation Research, 5(2), 83–111.
  • Facchinei, F., & Soares, J. (1997). A new merit function for nonlinear complementarity problems and a related algorithm. SIAM Journal on Optimization, 7(1), 225–247.
  • Florian, M., & Hearn, D. (1995). Network equilibrium models and algorithms. Handbooks in Operations Research and Management Science, 8, 485–550.
  • Haghani, A., Hamedi, M., & Sadabadi, K. F. (2009). I-95 corridor coalition vehicle probe project: Validation of INRIX data. I-95 Corridor Coalition, 9.
  • Kim, S., & Coifman, B. (2014). Comparing inrix speed data against concurrent loop detector stations over several months. Transportation Research Part C: Emerging Technologies, 49,59–72.
  • Leblanc, L. J. (1973). Mathematical programming algorithms for large scale network equilibrium and network design problems. Research Report, Northwestern University, Evanston, IL.
  • Lindveld, C. D., Thijs, R., Bovy, P., & Van der Zijpp, N. (2009). Evaluation of online travel time estimators and predictors. Transportation Research Record: Journal of the Transportation Research Board, 1719, 45–53.
  • Lo, H. K., & Chen, A. (2000). Traffic equilibrium problem with route-specific costs: Formulation and algorithms. Transportation Research Part B: Methodological, 34(6), 493–513.
  • Matt, K., Van Wee, B., & Stead, D. (2005). Land use and travel behaviour: expected effects from the perspective of utility theory and activity-based theories. Environment and Planning B: Planning and Design, 32(1), 33–46.
  • Meyer, M., & Miller, E. (2000). Urban transportation planning. 2nd ed. New York, NY: McGraw-Hill Series in Transportation.
  • Nguyen, S. (1974). An algorithm for the traffic assignment problem. Transportation Science, 8(3), 203–216.
  • Pulugurtha, S. S., Pinnamaneni, R. C., Duddu, V. R., & Reza, R. M. Z. (2015a). Commercial remote sensing & spatial information (crs & si) technologies program for reliable transportation systems planning: volume 1 - comparative evaluation of link-level travel time from different technologies and sources. Report no. RITARS-12-H-UNCC-1, Submitted by The University of North Carolina at Charlotte to the United States Department of Transportation, Washington, DC.
  • Pulugurtha, S. S., Pinnamaneni, R. C., Duddu, V. R., & Reza, R. M. Z. (2015b). Comparative evaluation of technologies and data sources to capture travel time at section-level on urban streets. Journal of Transportation Research Forum, 54(3), 5–22.
  • Regional Integrated Transportation Information System (RITIS). (2018). vpp.ritis.org.
  • Slavin, H., Brandon, J., & Rabinowicz, A. (2006). An empirical comparison of alternative user equilibrium traffic assignment methods. Proceedings of the European Transport Conference, Strasbourg, France.
  • SPSS Inc. (2008). SPSS® 16.0 Brief Guide, Copyright © 2008 by SPSS Inc., 233 South Wacker Drive, 11th Floor. Chicago, IL.
  • Tobin, R. L. (1979). Calculation of fuel consumption due to traffic congestion in a case-study metropolitan area. Traffic Engineering & Control, 20(12), 590–592.
  • Turner, S., Sadabadi, K. F., Haghani, A., Hamedi, M., Brydia, R., Santiago, S., & Kussy, E. (2011). Private sector data for performance management–final report. https://ops.fhwa.dot.gov/publications/fhwahop11029/fhwahop11029.pdf .
  • Wardrop, J. G. (1952). Some theoretical aspects of road traffic research. London/UK: Institute of Civil Engineers Proc.