Evaluation of the effect of “Energy Efficient Intersection” system on CO2 emissions of road transport

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2014 (EN)
Evaluation of the effect of “Energy Efficient Intersection” system on CO2 emissions of road transport (EN)

Mamarikas, Sokratis (EN)

Martinopoulos, G. (EN)
Mitsakis (EN)
School of Science and Technology, MSc in Energy Systems (EN)
Irakleous (EN)

Intelligent Transport Systems (ITS) play an important role in the effort for the reduction of energy consumption, CO2 emissions and other various pollutants of the transport sector and can provide significant contributions to the achievement of the goals set by the EC White Paper of transport, for a 60% decrease of CO2 transportation emissions for the period 1990-2050. The evolution in the area ITS is related to the development of systems, referred to as Cooperative ITS (C-ITS), that link the vehicle with the road infrastructure and are able to reduce vehicular energy consumption and CO2 emissions. The need for the development and implementation of these systems has been recognized as one of the main priority areas in the strategies for a cleaner and more efficient transport system. The present master thesis analyzes and assesses the impacts of Cooperative Intelligent Transport Systems (C-ITS) on energy consumption and CO2 emissions of road transport. The first step of this evaluation is related with the identification of the suitability of existing models to be used for the environmental evaluation of ITS and C-ITS. Emission models are classified and analyzed and their capability, in terms of the evaluation of different applications, is identified. As a next step the “Energy efficient intersection”, which is a C-ITS developed by CERTH/HIT, is examined as a case study. The system aims at the reduction of energy consumption and emissions of a vehicle when approaching a signalized intersection, through the provision of speed advices to the drivers, in order to reduce stop and go traffic. The logic of this system is evaluated and proposals regarding potential extensions are expressed. Through the use of traffic data derived by a traffic micro simulator, the effect of the system on individual vehicles’ and traffic CO2 emissions is evaluated and analyzed. Moreover a parametric analysis is performed adjusting the traffic demand, the traffic lights settings and the speed advice provision distances. At the end, conclusions and proposal are outlined. (EN)

masterThesis

Διεθνές Πανεπιστήμιο της Ελλάδος (EL)
International Hellenic University (EN)

2014-12


School of Science &Technology, Master of Science (MSc) in Energy Systems (EN)



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