Freeway Data

1. SHRP2 C05:Understanding the Contributions of Operations, Technology, and Design to Meeting Highway Capacity Needs ADD TEAM LOGOS HERE Strategies for Improving Roadway Capacity Dynamsart- P Conceptual Framework Plan Research Objectives (1) quantify capacity benefits of improvements at the network level (2) provide information and tools to analyze operational improvements as an alternative to traditional construction (3) develop guidelines for “sustained service rates” to be used in planning networks The conceptual framework provides a dynamic set of methodologies consistent with the projects goals and objectives. In the framework performance measure and potential factors that affect sustainable service rates on both arterials and freeways are being examined and tested how to best represent and implement the affects of these factors. Decreases Prob. of Breakdown Decreases Prob. of Breakdown Increases Capacity Increases Capacity Using Dynasmart-P computer simulation program we can better model network level travel time and effects of individual strategies. Figure X shows a predictions of travel time on a network level Project Schedule Expected Products Stochastic Capacity Arterial Data To best determine the stochastic capacity of arterials stochastic variation will be determined Arterial data has not yet been collected so there is nothing to present at this time. Freeway Data Freeway data has been collected at several locations to test freeway capacity. The team has determined breakdown from two characteristics: - Critical Speed (SC) - LOS C/D Density boundary Stochastic Capacity Table 1. Basic information of the study sites *Notes: “N.A” indicates the distance to downstream bottleneck is very long. Table 2. Traffic parameters of study sites Relationship to Other SHRP2 Projects Dynasmart-P Computer Simulation Once these methods for determining stochastic capacities are developed, the methods will be implement into the computer simulation model Dynasmart-P. The overall goal will be to test and quantify capacity improving strategies by determining how well then improve breakdown periods. C02Systems-Based Performance Measures C01 and C07Collaborative Decision Making Process C05Meeting Highway Capacity Needs C10Integrated Travel Demand Model Freeway Capacity Distribution - Defined at bottlenecks - Flow prior to breakdown - Lognormal distribution provides best fit Table 3. Summary of pre-breakdown headway distribution L03Reliability Mitigation Strategies