- May 19 - 23, 2014
Live Q&A Sessions:
Mon - Fri, 6:30 - 7:00 PM, EST
Wed, May 14, 5:00 pm EST
Today's financial landscape calls for creative solutions in all areas, including transportation systems. Transportation officials look at a range of alternative scenarios and innovative solutions to improve operations management of existing systems, consistent with the concept of “Planning for Operations” promoted by FHWA. Recently, travel demand models were used for planning purposes, while microscopic simulation models were used for operation analyses. One of the main differences between these two types of models is that the latter accounts for demand variability and temporality, an element necessary in analyzing transportation system operations.
Recent methodological (e.g., Dynamic Traffic Assignment or DTA) and computing advances have allowed the development of operation models (called mesoscopic) that bridge the gap between planning and operations. Mesoscopic models are gaining ground in a number of cities (e.g., New York City, San Francisco) and are generally implemented within a framework that promotes the linking/integration of planning and operation models referred to as multi-resolution models. These frameworks could be two or three tiered model platforms, depending on the specific needs of the assignment, and provide a robust, scalable and practical analytical framework for transportation system analyses.
- Describe the various sub-models comprising a multi-resolution model: i.e., the planning models, the state-of-the-practice operation models (microscopic) and the state-of the-art operation models (mesoscopic).
- Explain the multi-resolution model's ability to support:
- planning activities at the local level (e.g., construction scheduling, work zones, etc.)
- planning activities at the regional level (e.g., corridor planning, incident management, etc.)
- Federal initiatives (e.g., Integrated Corridor Management, Active Transportation Demand Management, etc.) and Smart Cities and Mobility Applications.
- Demonstrate an understanding of the datasets (e.g., archived data, real-time data, topological data, etc.) needed for the development of multi-resolution models.
- Explain the processes and methodologies to calibrate and validate multi-resolution models.
- Describe the available Performance Measures produced by multi-resolution models and their significance in transportation systems analysis and alternative scenario assessment.
Meet the Instructor
Vassilis Papayannoulis, PhD
Transportation Planning Group Manager