Implementation of Optimal Parameter Settings in GDOT’s Current Ramp Metering Operation

Details

• Creators:
  Laval, Jorge A. ; Guin, Angshuman ; Chilukuri, Bhargava Rama ; Cho, Hyun W.
• Corporate Creators:
  Georgia Institute of Technology. School of Civil and Environmental Engineering
• Corporate Contributors:
  Georgia. Dept. of Transportation. Office of Performance-Based Management and Research
• Subject/TRT Terms:
  • Genetic algorithms
  • Microsimulation
  • Optimization
  • Ramp metering
  • Traffic congestion
  • Traffic mitigation Ramp Metering
  • ALINEA
  • Genetic Algorithm Optimization
• Publication/ Report Number:
  FHWA-GA-19-1418
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States;Georgia
• Edition:
  November 2014 – February 2019
• Corporate Publisher:
  Georgia. Department of Transportation
• Abstract:
  The objective of this study is to optimize the parameter settings for the local ramp metering control system currently in operation in the Metro Atlanta freeway network. The study corridor is Eastbound/Southbound I-285 between GA 400 and I-20. Using a stochastic simulation-based optimization framework that combines microsimulation model GTsim and a genetic algorithm-based optimization module, we determine the optimal parameter values of the ramp-metering control system. We generate optimal ramp metering values for 11 ramp-metering locations. The results of this project are expected to improve ramp metering efficiency and mitigate freeway congestion.
• Format:
  PDF
• Funding:
  PI# 0012795
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/40263/dot_40263_DS1.pdf
• File Type:
  [PDF - 4.03 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:0933fffa456f26650dbaaf97e6bae7293e6802c03363befe616a6fd16b46e850f6f600451e88ef1a627bd3d17e99bc31574d9bc0043be65cf99455180d2adc0f