Final Report (PDF)
Final Report Phase 2 (PDF)
Tech Brief (PDF)
| Project Title | Stochastic Models for Incorporating Traffic Reliability Goals in Roadway Improvement Scheduling |
| University | George Mason University |
| Principal Investigator(s) | Elise Miller Hooks |
| Funding Source(s) and Amounts Provided (by each agency or organization) | George Mason University Core Funds — $100,460 George Mason University Match — $100,460 |
| Total Project Cost | Total Project Cost — $200,920 |
| Start and End Dates | 07/01/2021 -12/31/2023 |
| Brief Description of Research Project | The objectives of this proposal are to: (1) devise roadway network reliability metrics and means for their quantification for use in the objective and/or constraints of developed models; (2) formulate stochastic models for prioritization and scheduling of maintenance, repair, and rehabilitation activities that either seek to maximize traffic reliability or satisfy. traffic reliability requirements while simultaneously accounting for not only the detrimental impacts of deterioration or damage that goes untreated, but also the effects of downtime from the implementation of the improvements actions themselves; (3) develop OvS solution methodologies; and (4) form insights to support simple heuristics or policies that can be readily deployed. The methodologies developed in this project will contribute to roadway asset management by changing the goals of roadway improvement projects from minimizing costs while meeting serviceability requirements to ensuring that roadway networks can provide reliable services to its users. The case study on the Hampton Roads network in Virginia will demonstrate the gains in taking a traffic reliability objective or incorporating a reliability requirement for roadway users. |