Dynamic, Integrated Model System: Sacramento-Area Application, Volume 1: Summary Report (2014) / Chapter Skim
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1The second Strategic Highway Research Program (SHRP 2) Project C10B, Partnership to Develop an Integrated, Advanced Travel Demand Model with Fine-Grained, Time-Sensitive Networks: Sacramento-Area Application, is an important step in the evolution of travel modeling from an aggregate, trip-based approach to a completely dynamic, disaggregate methodology.
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2approach is to combine the capabilities of an activity-based travel demand model with a traffic simulation model, adding enhancements to achieve goals such as the consideration of reliability in travel choices. Project C10B implemented this approach by using the SACSIM travel demand model for the Sacramento area; SACSIM includes the original DaySim activity-based model and the DynusT mesoscopic traffic microsimulation model.
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3 plans (SIPs) and regional or project-level transportation conformity analyses.
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4route. It can be thought of as an extra impedance to travel over and above the average travel time generally used in demand models.
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5 Integration of DynusT and MOVES A significant feature available in MOVES is the ability to support quantitative project-level emissions assessments using detailed vehicle activity data. The MOVES project-scale analysis function is the most spatially resolved modeling level in MOVES; it calculates emissions from a single roadway link, a group of specific roadway links, and/or an off-network common area (e.g., a transit terminal or park-and-ride lot)
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6implement any updates to SACSIM that took place after C10B began. The SACSIM component of the integrated model was therefore considered already validated when the project commenced.
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7 4. Increasing transit frequency -- reducing service headways from 30 min to 10 min on a wellused bus line; and 5.
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8with the notion that the work tours are more inelastic. SACSIM, on the other hand, showed a greater reduction in trips on work tours.
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9 the opposite occurred. Both models did show increases in ridership on nearby routes, as expected.
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10 It should be noted that beyond the modeling terminology that is part of the C10B model user interface (UI) , no specialized computing knowledge or experience is necessary to run the model.
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11 Noise in Model Results It appears that the "noise" in the C10B integrated model made it difficult to identify some of the changes in travel behavior related to the tested scenarios. All simulation models, of course, are noisy since they are probabilistic in nature, and model results vary from one run to another.
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12 • Noise in model results. Performing multiple model runs would provide useful information in measuring the magnitude of the noise related to the simulations in the C10B integrated model.
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