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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2014. Dynamic, Integrated Model System: Sacramento-Area Application, Volume 2: Network Report. Washington, DC: The National Academies Press. doi: 10.17226/22369.
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24 Balakrishna, R., H. N. Koutsopoulos, and M. Ben-Akiva. 2005. Calibra- tion and Validation of Dynamic Traffic Assignment Systems. Elsevier, New York. Chang, E., and A. Ziliaskopoulos. 2004. Formulation of Analytical Time- Varying Intermodal Person Trip Assignment Model. Transporta- tion Research Record: Journal of the Transportation Research Board, No. 1882, Transportation Research Board of the National Academies, Washington, D.C. pp. 1–9. Chiu, Y.-C., J. Bottom, M. Mahut, A. Paz, R. Balakrishna, T. Waller, and J. Hicks. 2011. Dynamic Traffic Assignment: A Primer. Transporta- tion Research Board of the National Academies, Washington, D.C. http://onlinepubs.trb.org/onlinepubs/circulars/ec153.pdf. Chiu, Y.-C., L. Zhou, and H. Song. 2010. Development and Calibration of the Anisotropic Mesoscopic Simulation Model for Uninterrupted Flow Facilities. Transportation Research Part B, 44: 152–174. Dafermos, S., and F. Sparrow. 1969. The Traffic Assignment Problem for a General Network. Journal of Research of the National Bureau of Standards, 73B: 91–118. Florian, M., and S. Nguyen. 1974. A Method for Computing Net- work Equilibrium with Elastic Demands. Transportation Science, 8: 321–332. Huang, H., and W. Lam. 2002. Modeling and Solving the Dynamic User Equilibrium Route and Departure Time Choice Problem in Net- work with Queues. Transportation Research Part B, 36: 253–273. Jayakrishnan, R., H. Mahmassani, and T. Hu. 1994. An Evaluation Tool for Advanced Traffic Information and Management Systems in Urban Networks. Transportation Research Part C, (2C(3)): 129–147. Khani, A., M. Hickman, and H. Noh. 2012a. Trip-Based Path Algorithms Using Transit Network Hierarchy (TBPATH). Presented at 4th Inter- national Symposium on Dynamic Traffic Assignment, Martha’s Vineyard, Mass. Khani, A., S. Lee, M. Hickman, H. Noh, and N. Nassir. 2012b. Intermodal Shortest- and Optimal-Path Algorithm Using a Transit Trip-Based Shortest Path. Presented at 91st Annual Meeting of Transportation Research Board, Washington, D.C. Lu, C.-C. 2007. Multi-Criterion Dynamic Traffic Assignment Models and Algorithms for Road Pricing Applications with Heterogeneous Users. PhD dissertation, University of Maryland. Lu, C.-C., H. Mahmassani, and X. Zhou. 2008a. A Bi-Criterion Dynamic User Equilibrium Traffic Assignment Model and Solution Algorithm for Evaluating Dynamic Road Pricing Strategies. Trans- portation Research Part C: Emerging Technologies, 16(4): 371. Lu, C.-C., H. Mahmassani, and X. Zhou. 2008b. Equivalent Gap Function-Based Reformulation and Solution Algorithm for the Dynamic User Equilibrium Problem. Transportation Research Part B: Methodological. In Press, Corrected Proof. Nava, E., and Y.-C. Chiu. 2012. A Temporal Domain Decomposition Algorithmic Scheme for Large-Scale Dynamic Traffic Assignment. International Journal of Transportation Science and Technology, 1(1): 1–24. Noh, H., A. Khani, Y.-C. Chiu, M. Hickman, and B. Bustillos. 2012a. Integration of Dynamic Traffic Assignment with Schedule-Based Transit Assignment and Simulation of Congested Multimodal Net- works. Presented at 4th International Symposium on Dynamic Traf- fic Assignment, Martha’s Vineyard, Mass. Noh, H., A. Khani, M. Hickman, and Y.-C. Chiu. 2011. Integrated Dynamic Traffic and Transit Assignment Considering Traffic Congestion and a Schedule-Based Transit Network. Presented at 13th TRB Transportation Planning Applications Conference, Reno, Nev. Noh, H., A. Khani, M. Hickman, Y. Tian, Y.-C. Chiu, and J. Villalobos. 2012b. Integrated Vehicle and Passenger Simulation Model Consid- ering a Multimodal Transportation Network. Presented at 4th TRB Conference on Innovations in Travel Modeling. Tampa, Fla. Sheffi, Y. 1985. Urban Transportation Networks. Prentice-Hall, Inc., Englewood Cliffs, N.J. http://web.mit.edu/sheffi/www/selected Media/sheffi_urban_trans_networks.pdf. Smith, M. 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: Method- ological, 27(1): 49–63. Smith, M., and M. Wisten. 1995. A Continuous Day-to-Day Traffic Assignment Model and the Existence of a Continuous Dynamic User Equilibrium. Annals of Operations Research, 60(1): 59–79. Szeto, W., and H. Lo. 2006. Dynamic Traffic Assignment: Properties and Extensions. Transportation, 2(1): 31–52. References

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Dynamic, Integrated Model System: Sacramento-Area Application, Volume 2: Network Report Get This Book
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 Dynamic, Integrated Model System: Sacramento-Area Application, Volume 2: Network Report
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TRB’s second Strategic Highway Research Program (SHRP 2) Report S2-C10B-RW-2: Dynamic, Integrated Model System: Sacramento-Area Application, Volume 2: Network Report describes the theoretical background and methodology for the integration of DynusT, a mesoscopic dynamic traffic assignment model, and FAST-TrIPs, a public transit passenger assignment and simulation model.

The SHRP 2 Capacity Project C10B also produced the summary report Dynamic, Integrated Model System: Sacramento-Area Application, Volume 1: Summary Report that provides an integrated model that simulates individuals’ activity patterns, travel, and their vehicle and transit trips as they move through the transportation system. A unique feature of this model is the simulation of transit vehicles as well as individual person tours using transit.

C10B model files and data, start-up guide, and network users guide for the Sacramento proof-of-concept application are available.

Software Disclaimer: This software is offered as is, without warranty or promise of support of any kind either expressed or implied. Under no circumstance will the National Academy of Sciences or the Transportation Research Board (collectively "TRB") be liable for any loss or damage caused by the installation or operation of this product. TRB makes no representation or warranty of any kind, expressed or implied, in fact or in law, including without limitation, the warranty of merchantability or the warranty of fitness for a particular purpose, and shall not in any case be liable for any consequential or special damages.

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