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Title Intelligent Traffic Light Management : Arterial Simulation & Optimization
Author Warberg, Andreas
Supervisor Jørgensen, Rene Munk (Logistics and Intelligent Transport, Department of Transport, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Larsen, Jesper (Department of Management Engineering, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Institution Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
Thesis level Master's thesis
Year 2008
Abstract The signal controllers of heavy-traffic arteries are subject to optimization to best accomodate the movement of the large traffic volumes. The DOGS system for arterial optimization works by adjusting the common cycle time according to detected traffic conditions and was tested in the vissim microsimulator for a section of the Danish ringroad 3. Tests show that DOGS, while providing improved conditions for arterial traffic in most cases, can be further improved by selecting an offset for each DOGS level, rather than remaining at the same offset regardless of the currently selected cycle time. For finding such offsets for the comparison a simulated annealing algorithm was implemented to solve the problem of coordinating signal controllers. Keywords: traffic signal settings, traffic optimization, traffic artery.
Fulltext
Original PDF Andreas_Warberg_Intelligent_Traffic_Light_Management_Kandidatspeciale_2008.pdf (2.08 MB)
Admin Creation date: 2008-10-13    Update date: 2009-01-08    Source: dtu    ID: 224465    Original MXD