A Computational Framework for Data-Driven Distributed Resilient Control of Traffic Corridors

This project proposes to develop algorithms for distributed control and model parameter estimation for macroscopic traffic flow over freeway and arterial networks, with provable guarantees. There are several novel contributions of our proposed approach. First, we utilize the combination of System Optimum Dynamic Traffic Assignment (SO-DTA) and optimal control theory to understand the implications of the cost function and network ow dynamics on the sparsity of optimal control architecture. The project also proposes to develop a technique specific to traffic flow dynamics to compute sensitivity bounds on system trajectories under open-loop control derived from SO-DTA. Second, the project proposes to perform a rigorous analysis to characterize throughput, travel times and resilience properties for max pressure and proportionally fair traffic signal control policies under complex phase architectures, finite queue capacities, and dynamic route choice behavior. Third, the project proposes to extend our analysis of control strategies for freeway and arterial networks to consider output feedback policies under relatively sparse measurements. The project also plans to leverage compressed sensing techniques to quantify the limitations on origin destination estimation from historical data. The projects proposed approach relies on a combination of tools from traffic engineering, control theory, optimization, dynamical systems, and signal processing. The projects analysis and algorithm development will be supplemented with case studies relevant to the Los Angeles areas, using a professional microscopic traffic simulator.

Language

  • English

Project

  • Status: Active
  • Funding: $99,957
  • Contract Numbers:

    65A0533

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Project Managers:

    Deguzman, Victoria

  • Performing Organizations:

    National Center for Metropolitan Transportation Research

    University of Southern California
    650 Childs Way, RGL 107
    Los Angeles, CA  United States  90089-0626
  • Principal Investigators:

    Savla, Ketan

  • Start Date: 20170101
  • Expected Completion Date: 20171231
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01618762
  • Record Type: Research project
  • Source Agency: National Center for Metropolitan Transportation Research
  • Contract Numbers: 65A0533
  • Files: UTC, RiP
  • Created Date: Dec 12 2016 9:54AM