An adaptive signal-vehicle cooperative control system
In this thesis, we propose a fully cooperative control scheme that produces both effective traffic schedules for the traffic lights and suitable speeds for oncoming vehicles to get through intersections during green-light time. The ultimate goal is to reduce substantially the delay, fuel consumption and carbon dioxide emission. The proposed system is shown to have achieved this goal, compared to a base-line system. More specifically, the controller optimizes traffic signals of a single intersection online. The mathematical model used to solve the problem of scheduling is a Markov Decision Process, and the solution is found by Approximate Dynamic Programming. The controller employs a simulation-based method to compute suitable speeds for vehicles to get through intersections during green lights. The speeds are broadcast to vehicles via telematics (technologies that allow communications between vehicles and infrastructure). The controller is implemented and evaluated in a microscopic simulation environment. A fixed-time controller is built from schedules produced by the TRAffic Network StudY Tool (TRANSYT) software. The fixed-time controller is used as the bench-mark system. The proposed system saves a maximum of 36 percent delay, more than 11 percent fuel consumption, and more than 12 percent carbon dioxide emission, compared to the base-line system.
- Record URL:
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Supplemental Notes:
- PhD thesis
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Authors:
- LE, T M
- Publication Date: 2013
Language
- English
Media Info
- Pagination: 1 file
Subject/Index Terms
- TRT Terms: Advanced traffic management systems; Advanced traffic management systems; Air quality management; Communication; Delays; Fuel consumption; Microsimulation; Roadside; Traffic delays; Traffic signal controllers; Traffic signals; Vehicle to infrastructure communications; Vehicles
- ATRI Terms: Advanced traffic management systems (ATMS); Delay; Emissions control; Fuel consumption; Microsimulation; Signal controller
- ITRD Terms: 8735: Intelligent transport system
- Subject Areas: Highways; Vehicles and Equipment; I73: Traffic Control;
Filing Info
- Accession Number: 01534345
- Record Type: Publication
- Source Agency: ARRB
- Files: ITRD, ATRI
- Created Date: Aug 11 2014 2:47PM