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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2014. Dynamic, Integrated Model System: Sacramento-Area Application, Volume 1: Summary Report. Washington, DC: The National Academies Press. doi: 10.17226/22381.
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97 References Bowman, J., and M. Bradley. 2006. SACSIM/05: Activity-Based Travel Forecasting Model for SACOG, Featuring DaySim—the Person Day Activity and Travel Simulator. Technical Memo Number 10, DaySim05 Documentation. Prepared for Sacramento Area Council of Govern- ments, September 25. Cambridge Systematics, Inc., and ITT Industries. 2001. ITS Deployment Analysis System User’s Manual. Cambridge Systematics, Inc., Texas A&M Transportation Institute, Uni- versity of Washington, Dowling Associates, Street Smarts, Herb Levinson, and Hesham Rakha. 2013. SHRP 2 Report S2-L03-RR-1: Analytical Procedures for Determining the Impacts of Reliability Mit- igation Strategies. Transportation Research Board of the National Academies, Washington, D.C. Chiu, Y.-C., M. Hickman, and M. Xyntarakis. 2014. SHRP 2 Report S2-C10B-RW-2: Dynamic, Integrated Model System: Sacramento-Area Application. Volume 2: Network Report. Transportation Research Board of the National Academies, Washington, D.C. 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, Vol. 44, pp. 152–174. Lemp, J., E. Petersen, and T. Rossi. 2011. Technical Appendix—Data and Estimation Issues for DaySim’s Mode Choice Model Estimation with Variable Value of Time. SHRP 2 C10B project memorandum. Cambridge Systematics, Inc., Austin, Tex. Levinson, D., K. Harder, J. Bloomfield, and K. Winiarczyk. 2004. Weight- ing Waiting: Evaluating Perception of In-Vehicle Travel Time Under Moving and Stopped Conditions. In Transportation Research Record: Journal of the Transportation Research Board, No. 1898, Transporta- tion Research Board of the National Academies, Washington, D.C., pp. 61–68. SACOG, DKS Associates, Bradley Research and Consulting, and Transportation Systems and Decision Sciences. 2008. Sacramento Activity-Based Travel Simulation Model (SACSIM07): Model Ref- erence Report (Draft). Sacramento Area Council of Governments, Calif. Sall, E., E. Bent, B. Charlton, J. Koehler, and G. Erhardt. 2010. Evaluating Regional Pricing Strategies in San Francisco—Application of the SFCTA Activity-Based Regional Pricing Model. Proc., 89th Annual Meeting of the Transportation Research Board, Washington, D.C. Small, K., R. Noland, X. Chu, and D. Lewis. 1999. NCHRP Report 431: Valuation of Travel-Time Savings and Predictability in Congested Conditions for Highway User-Cost Estimation. Transportation Research Board of the National Academies, Washington, D.C. Small, K., C. Winston, and J. Yan. 2005. Uncovering the Distribution of Motorists’ Preferences for Travel Time and Reliability. Econometrica, Vol. 73, No. 4, pp. 1367–1382. Stogios, Y., H. Mahmassani, and P. Vovsha. Forthcoming. SHRP 2 Project L04: Incorporating Reliability Performance Measures in Operations and Planning Modeling Tools, Draft Final Report. Transportation Research Board of the National Academies, Washington, D.C. U.S. Environmental Protection Agency. 2012. Motor Vehicle Emission Simulator (MOVES) 2010b User Guide. Office of Transportation and Air Quality, Washington, D.C. http://www.epa.gov/otaq/models/ moves/documents/420b12001b.pdf.

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TRB’s second Strategic Highway Research Program (SHRP 2) Report S2-C10B-RW-1: Dynamic, Integrated Model System: Sacramento-Area Application,

Volume 1: Summary Report explores an integration of a disaggregate activity-based model with a traffic-simulation model to create a new, completely disaggregate model.

The new model simulates individuals’ activity patterns and travel and their vehicle and transit trips as they move on a real-time basis through the transportation system. It produces a simulation of the travel within a region by using individually simulated travel patterns as input rather than aggregate trip tables to which temporal and spatial distributions have been applied to create synthetic patterns. 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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