A Hierarchical priority-based Control of Signalized Intersections in Semi-Connected Corridors
The main objective of this research is to develop efficient distributed yet coordinated algorithms to control signalized intersections in connected and semi-connected (when not all vehicles have connectivity capability or refrain from sharing intentions for privacy reasons) corridors. The research will enhance traffic signal optimization formulations to allow for the incorporation of connected vehicles and existing point detector data in the models, the distribution of decisions at both the intersection and the corridor levels to reduce computational complexity, and the coordination of control decisions among various intersections by a distributed cloud-fog based communication network to push solutions towards global optimality. The research will address computation and communication needs required to implement the proposed optimization system in the field by developing, testing, and validating a hierarchical cloud-fog architecture. The research team utilizes a hierarchical priority-based control using fog-cloud architecture to achieve this objective. The fog component will consist of micro-datacenters with limited computational capabilities collocated with the Road-Side Units (RSUs), responsible for computing optimal timings of traffic signals in real-time utilizing their limited capabilities. A cloud backbone will be connected to all fog components of the city or each city zone to exchange information among the neighboring fog components to enable coordinated yet distributed optimization of traffic signal timings. It can also perform analytics on the collected data and decisions from all fog components to learn spatio-temporal patterns, especially in the case of semi-connected scenarios. The proposed architecture allows intersection- and corridor-level optimization algorithms to be performed and control decisions to be communicated to traffic signal system using existing control hardware and communication technology.
Language
- English
Project
- Status: Active
- Funding: $360000
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Contract Numbers:
69A3551747110
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Sponsor Organizations:
Pacific Northwest Transportation Consortium
University of Washington
More Hall Room 112
Seattle, WA United States 98195-2700Washington State Department of Transportation
Research Office
P.O. Box 47372
Olympia, WA United States 98504Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Washington State University, Pullman
Civil & Environmental Engineering Department
PO Box 642910
Pullman, WA United States 99164-2910 -
Project Managers:
Hajbabaie, Ali
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Performing Organizations:
Washington State University, Pullman
Civil & Environmental Engineering Department
PO Box 642910
Pullman, WA United States 99164-2910 Department of Civil Engineering
P.O. Box 441022
Moscow, ID United States 83844-1022 -
Principal Investigators:
Hajbabaie, Ali
Sorour, Sameh
Abdel-Rahim, Ahmed
- Start Date: 20180816
- Expected Completion Date: 20200815
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Algorithms; Optimization; Signalized intersections; Traffic signal control systems; Traffic signal timing; Transportation corridors; Validation; Wireless communication systems
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01701468
- Record Type: Research project
- Source Agency: Pacific Northwest Transportation Consortium
- Contract Numbers: 69A3551747110
- Files: UTC, RiP
- Created Date: Apr 5 2019 3:17PM