A Resilience-Based Priority-Setting Framework For Improvement Of Roadway Performance In Consideration Of Roadway Layout

Making roadways more resilient against both major and minor disturbances is an important goal for urban communities. Resilience is found in many transportation-related disciplines, such as freight movements and logistics, but it has not been explored much in traffic congestion analysis for performance assessment. In this study, we have explored the effect of roadways geography (layout abstraction) on the resilience of roadways to recurrent daily traffic jams. In doing so, we symbolized the recurrent congestions as an internal disturbance which can have a considerable impact on the performance of the road network. We characterized the resilience of road sections with a multi-dimensional approach and characterized the roadways geography by clustering the layout of the roadway. We illustrate the capability of our approach by analyzing an empirical dataset that measures the resilience of roadways in major freeways in the Los Angeles area, California, for November 2018. The traffic flow data for characterization of resilience behavior in daily congestions and layout of roadways in terms of high occupancy vehicles (HOV) lanes, on-ramp, and off-ramp is collected from the Caltrans performance measurement system (PeMs). The findings of these metrics could be used for performance-based planning and prioritizing resource allocation to the most critical areas.