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.
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Supplemental Notes:
- This paper was sponsored by TRB committee AHB15 Standing Committee on Intelligent Transportation Systems.
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Authors:
- Mohebifard, Rasool
- Hajbabaie, Ali
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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