Distributed Traffic Control for Reduced Fuel Consumption and Travel Time in Transportation Networks
Current technology in traffic control is limited to a centralized approach that has not paid appropriate attention to efficiency of fuel consumption and is subject to the scale of transportation networks. This project proposes a transformative approach to the development of a distributed framework to reduce fuel consumption and travel time through the management of dynamic speed limit signs. The project proposes to integrate the roadway infrastructures equipped with sensing, communication, and parallel computation functionalities in the new traffic control paradigm. The research approach was built on three essential objectives to establish an energy-efficient traffic control methodology: · Implementation of a distributed control framework in large-scale transportation networks · Simulation of dynamic traffic flow and performance tracking under implemented control signals using real-time traffic and vehicle data · Data analysis and sustained strategy improvement Going beyond the existing distributed architectures where precise dynamic flow models and fuel consumptions have not been considered, the work generated traffic control strategies to realize real-time, macroscopic-level traffic regulation with high precision. Simulation results demonstrated reduced fuel consumption and alleviated traffic congestion. The feasibility of the proposed optimization method was verified through Vissim simulation that considered different traffic volumes and random seed parameters.
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Language
- English
Project
- Status: Completed
- Funding: $141149
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Contract Numbers:
DTRT13-G-UTC37
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 Iowa State University
2711 S Loop Drive, Suite 4700
Ames, IA United States 50010-8664 -
Performing Organizations:
Iowa State University
2711 S Loop Drive, Suite 4700
Ames, IA United States 50010-8664 -
Principal Investigators:
Dai, Ran
Dong, Jing
Sharma, Anuj
- Start Date: 20150401
- Expected Completion Date: 20180228
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Data analysis; Fuel composition; Ramp metering; Speed limits; Traffic control; Traffic flow; Travel time
- Subject Areas: Data and Information Technology; Energy; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01578158
- Record Type: Research project
- Source Agency: Midwest Transportation Center
- Contract Numbers: DTRT13-G-UTC37
- Files: UTC, RIP
- Created Date: Oct 14 2015 12:48PM