Rehabilitation Project Selection and Scheduling in Transportation Networks

Road infrastructure in the United States (US) is aging rapidly as many roads are approaching or exceeding their design life. As a result, transportation agencies need to allocate more resources to maintenance and rehabilitation (M&R) activities. The National Highway System (NHS) spent 48.5 percent of its total capital spending in 2008 in system rehabilitation, the highest percentage since 2000. On the other hand, stringent budgets provide insufficient funding to support all needed M&R projects. Decision makers have to prioritize and select projects based on their tangible benefits to the transportation system. Meanwhile, traffic congestion across the country has been on the rise over the past 30 years by every measure. The problem is further exacerbated by an increasing number of M&R projects performed on already-congested roads. Work zones are estimated to account for nearly 24% of non-recurring delay on freeways. Hence, M&R project selection and scheduling not only are essential to restore and maintain a reasonable level of service on existing roads but also have profound impact on congestion mitigation. The objectives of this project are to: (1) explicitly capture the impacts of the presence of multiple M&R projects on travelers' route choice behavior; and (2) strategically select and schedule M&R projects in a transportation network over a finite planning horizon to maximize social benefit.

Language

  • English

Project

  • Status: Active
  • Funding: $61419
  • Contract Numbers:

    DTRT13-G-UTC38

  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    Utah State University, Logan

    Civil and Environmental Engineering Department
    Logan, UT  United States  84332
  • Principal Investigators:

    Song, Ziqi

  • Start Date: 20130930
  • Expected Completion Date: 20180731
  • Actual Completion Date: 0
  • Source Data: MPC-463

Subject/Index Terms

Filing Info

  • Accession Number: 01528052
  • Record Type: Research project
  • Source Agency: Mountain-Plains Consortium
  • Contract Numbers: DTRT13-G-UTC38
  • Files: UTC, RiP
  • Created Date: Jun 12 2014 1:00AM