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Intelligent and Multi-objective Traffic Controls
Transport has increased dramatically over the past two decades. In the European transport system, road traffic increases at an average rate of 2-3% per year. Sustainability is a rather important issue for transportation management, because on one hand transport development is connected with social economic growth while on the other hand it puts enormous pressure on the global environment. Congestion operations, reduction of fuel consumption and air quality management have therefore become crucial factors in traffic management as well as for vehicle and ITS products. To meet requirements on sustainable development of road transport systems, traffic simulation and impact models have become important approaches and tools for evaluation and optimization of road traffic controls. At the ITS lab of Trafik och Logistik (ToL) KTH, our recent research work ranges over traffic simulation, vehicle emission modeling, integrated traffic impact modeling and intelligent and sustainable traffic control and operations.
This thesis has an objective to optimize current traffic control measures, especially signal control with respect to multiple objectives including travel efficiency, fuel and emissions. M.Sc. Students with relevant backgrounds in civil and environmental engineering, mechanical or vehicle engineering as well as computer science and electrical engineering could apply for the thesis project. A prior knowledge of traffic models and operational research (optimization) will add benefits for the completion of the degree project. The students are expected to have solid scientific computing skills and good programming capability (such as using C, Java or Python) with third-party software to solve optimization problems.
Xiaoliang Ma, ITS Lab, Traffic and Logistics, KTH; visiting address: Teknikringen 72, Email: [email protected]; Tel: 7908426
This thesis will take place at KTH main campus Stockholm.
Informationen om uppsatsförslag är hämtad från Nationella Exjobb-poolen.