, Professor, UMD-Civil Engineering
A reliable and resilient freeway network, which can absorb, recover and adapt to various operating conditions, is of critical importance in sustaining the way of life and economic vitality of the Twin Cities metro area. A key element in developing and maintaining such a smart freeway system is the capability to monitor and assess corridor-wide travel-time reliability, a major performance measure for quantifying the operational effectiveness of a freeway network. While the importance of travel-time reliability in measuring the performance of traffic systems has been well recognized by transportation professionals, the current state-of-the-practice in traffic management has not reached the point where various types of reliability measures are automatically generated and incorporated into the daily operations of a given network. The previous phase of this research has developed a comprehensive computer system, TeTRES, Travel-time Reliability Estimation System, which can be used to efficiently collect and integrate a large amount of data from multiple sources, such as traffic, weather and incident databases, and estimate a set of reliability measures for given corridors and time periods under specified operating conditions. In the proposed study, TeTRES will be applied to estimate and analyze the reliability trends of individual corridors in the metro freeway network. Further, a preliminary study to quantify the operational resiliency of freeway corridors, i.e., the potential capability to recover from extreme operating conditions and events, will be conducted. The specific objectives of this research include:
- Integration of TeTRES and TICAS, a Freeway Performance Estimation Tool developed at UMD, for combined analysis of reliability and traffic flow measures.
- Population of TeTRES database with historical data for the metro freeway network.
- Estimation and assessment of travel-time reliability trends of individual corridors in the metro freeway network.
- Preliminary study for formulating and estimating operational-resilience measures for freeway corridors.
The results from this study can be directly applicable for prioritizing bottlenecks in the current metro network, so that limited resources for corridor improvements can be allocated in an optimal manner. Further, the reliability status/trends of individual corridors will be used as a basis for developing efficient TSMO strategies for the metro freeway network.
- Project number: 2020002
- Start date: 04/2019
- Project status: Active
- Research area: Transportation Safety and Traffic Flow