Integration of Travel Demand Models with Operational Analysis Tools

摘要: Continuing growth in urban travel demand inevitably leads to a need for more physical capacity within the transportation system. However, limited financial resources, high construction costs, environmental considerations, long timelines, and an increasingly complex regulatory process have essentially rendered capacity-adding projects be actions of last resort. Before such are undertaken, decision makers, planners, engineers evaluate alternative operational improvement strategies that can eliminate, mitigate, or forestall traditional highway project. Effectively evaluating wide range available is not trivial matter, this particularly true when performance compared new lanes. The purpose study was recommend methods obtain input data analysis tools operate as post-processors models. Among all planning compatible with four-step process, Florida ITS Evaluation (FITSEval) tool selected integrated primary software used by Virginia Department Transportation, i.e., Cube. To achieve objective study, estimating peak period flows from forecasting model outputs were investigated examined areas where forecasts 24-hour patterns available. Relationships between studied. Procedures obtaining time-of-day factors link trip tables provided using continuous count stations National Household Travel Survey Data Virginia. modeling demonstrated two case studies Hampton Roads area latest recently completed many potential enhancing Two studies, Incident Management systems High Occupancy Toll (HOT) lanes deployment, evaluated, results base strategy deployment scenarios make recommendations on feasibility evaluated projects. This report designed serve reference users FITSEval similar enhancements.