Real-Time Adaptive Traffic Metering in a Connected Urban Street Network

This study presents an adaptive methodology for real-time traffic metering in urban street networks with various degrees of connectivity. The methodology is a model predictive control approach. It gathers connected vehicle and loop detector data, estimate density across network links, find near-optimal metering rates at network gates over a prediction period constituting several time steps, and implement them in the network for the next time step. Finding optimized metering rates involves solving a mixed-integer linear program (MILP) that is very complex. As a result, distributed optimization decomposes the network to various subnetworks, and rather than solving a network level MILP, solves several subnetwork level MILPs in parallel. As a result of this technique, real-time solutions are attainable. Creating effective distributed coordination among various subnetworks pushes the solutions towards optimality and ensures finding near-optimal solutions. The developed methodology is applied to a number of case studies in a real-world urban street network in VISSIM with different connected vehicle penetration rates. The results show that traffic metering increases network throughput by 69.2% to 70.3% and at the same time reduces total system delay by 16.8% to 22.7% compared to a no-metering strategy. Increasing the penetration rate of connected vehicles up to 30% results in significant improvements in the performance of the case study network; however, increasing the penetration rate beyond this value does not result in further significant improvements.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems.
• Authors:
  • Mohebifard, Rasool
  • Hajbabaie, Ali
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 6p

Subject/Index Terms

• TRT Terms: Adaptive control; Linear programming; Mainline metering; Methodology; Real time control; Traffic control; Traffic measurement; Urban highways
• Identifier Terms: VISSIM (Computer model)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01660957
• Record Type: Publication
• Report/Paper Numbers: 18-06061
• Files: TRIS, TRB, ATRI
• Created Date: Feb 22 2018 9:19AM