Implications of Information Structure in Control of Urban Traffic Networks [Research Brief]

Details

• Creators:
  Savla, Ketan
• Corporate Creators:
  METRANS Transportation Center (Calif.) ; Pacific Southwest Region 9 UTC, University of Southern California
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Algorithms
  • Case studies
  • Feedback control
  • Information systems
  • Optimization
  • Routes and routing
  • System design
  • Traffic flow
  • Traffic simulation
  • Urban areas
  More +
• Resource Type:
  Brief
• Geographical Coverage:
  United States ; Los Angeles (California)
• Edition:
  Research Brief
• Corporate Publisher:
  METRANS Transportation Center (Calif.)
• Abstract:
  Due to the large volume of data generated in traffic, it is computationally, and arguably even technologically, infeasible to inter-connect all sensory and control points for real-time applications. Therefore, it is of interest to study performance of traffic networks under various information structures, i.e., sparse interconnection of control and sensor points. The objective of this project is to study this issue under two complementary topics: (1) traffic management using distributed implementation of variable speed limit, ramp-metering and routing, and (2) private route recommendations or public messages during uncertain situations by a system planner with informational advantage.
• Format:
  PDF
• Funding:
  69A3551747109 Caltrans 65A0674 (TO-017)
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/67939/dot_67939_DS1.pdf
• File Type:
  [PDF - 261.89 KB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:ed1a3f096e5ecf2864e1f60f2147352fc658f712c8aac22372a56365c7bb85bd2c30dc86663b724d4ef456050d93f072d605baaa3dcec6781d0669dd2fae3c37