Proactive Management of Mobility Impact of Interdependent Subsurface Utility and Roadway Construction through Incentives

Civil infrastructure systems, such as roadways, pipelines and buildings, are among the largest investments in any society. Most of these infrastructure systems in the U.S. were built during World War II era and they have exceeded their design lifespans. Typically, infrastructure systems are located in close proximity, and are deployed underneath the urban roadway networks. When they breakdown, there is a need to cut through roadway pavements to access them - which in turn creates significant mobility implications to motorists. All of these indicate a tightly-coupled nexus of interdependencies amongst underground utility/infrastructure systems, roadways and motorist mobility. Most of the current approaches in managing these relationships and corresponding disruptions are reactive; resulting in longer times of impact, higher costs and significant mobility issues. There is an opportunity to rethink the current reactive approach and make it much more proactive and effective. The proposed research targets that through foundational works towards the development of; (1) predictive infrastructure maintenance operations that predict and coordinate major repairs amongst different infrastructure systems to minimize disruptions to a community; and (2) dynamic incentive/disincentive models provided to motorists to proactively manage and increase their mobility under a given maintenance related disruption. The proposed approach includes ethnographic studies around existing planned disruptions through maintenance, development of analytics for predictive maintenance and data-driven agent-based approach for modeling motorist behaviors under different incentives/disincentives and disruption situations, and development of an integrated analysis framework. If successful, the proposed research will provide the foundational work towards a first of a kind integrated predictive coordinated maintenance and mobility management framework. The research team will evaluate the framework through assessing how it reduces delays on the road network segments and travel time for standard origin destination pairs, and how it enables time and money savings for roadwork and utility companies through predictive and coordinated maintenance activities.

Language

  • English

Project

  • Status: Active
  • Funding: $100000
  • Contract Numbers:

    69A3551747111

  • Sponsor Organizations:

    Carnegie Mellon University

    Mobility21 National USDOT UTC for Mobility of Goods and People
    Pittsburgh, PA  United States  15213

    Office of the Assistant Secretary for Research and Technology

    University Transportation Center Program
    ,    
  • Managing Organizations:

    Carnegie Mellon University

    Mobility21 National USDOT UTC for Mobility of Goods and People
    Pittsburgh, PA  United States  15213
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    Carnegie Mellon University

    ,    
  • Principal Investigators:

    Akinci, Burcu

  • Start Date: 20180101
  • Expected Completion Date: 20200630
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01710707
  • Record Type: Research project
  • Source Agency: National University Transportation Center for Improving Mobility (Mobility21)
  • Contract Numbers: 69A3551747111
  • Files: UTC, RiP
  • Created Date: Jul 11 2019 10:11AM