The goal of this research was to improve urban-scale modelling and network procedures to address operations or spot improvements that affect travel-time choice, route choice, mode choice, reliability, or emissions. Such improvements may include traveller information, expanded transit service, pricing, reversible lanes, or improved bottlenecks. Operational improvements like these are difficult to model on an urban area scale using existing tools. A secondary goal was to facilitate further development and deployment of these or similar procedures. The goals were addressed by building a proof-of-concept dynamic integrated model in two urban areas: Jacksonville, Florida, and Sacramento, California. A Volume 1 report describes the Sacramento, California, integration of the activity-based demand model DaySim; a Dynamic Traffic Assignment (DTA) model, DynusT; and a transit network simulation model, FAST-TrIPs. This report describes the application of DynusT and FAST-TrIPs in the Sacramento region. All of the highway and transit network data required to run the models were assembled and are available with the software, which is open source. A companion report and model set (SHRP 2 C10A) are available for the application in Jacksonville, Florida. This work has the same objective and uses DaySim as the demand model but uses TRANSIMS for the highway network assignment. Both model sets and software start-up guides are available from the Federal Highway Administration. (Author/publisher)
Samenvatting