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Ecological driver assistance system using model-based anticipation of vehicle–road–traffic information
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Ecological driver assistance system using model-based anticipation of vehicle–road–traffic information
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Journal Article
Ecological driver assistance system using model-based anticipation of vehicle–road–traffic information
2010
Overview
This study presents a novel concept of an ecological driver assistance system (EDAS) that may play an important role in intelligent transportation systems (ITS) in the near future. The proposed EDAS is designed to measure relevant information of instant vehicle-road-traffic utilising advanced sensing and communication technologies. By using the models of vehicle dynamics and traffic flow, it anticipates future situations of the vehicle-road-traffic network, estimates fuel consumption, and generates optimal control input necessary for ecological driving. Once the optimal control input becomes available, it could be used to assist the driver through a suitable human interface. The vehicle control method is developed using model predictive control algorithm with a suitable performance index to ensure safe and fuel-efficient driving. The performance of EDAS in terms of speed behaviour and fuel consumption is evaluated on the microscopic transport simulator AIMSUN NG. Comparative results are graphically illustrated and analysed to signify the prospect of the proposed EDAS in building environmentally friendly ITS.
Publisher
The Institution of Engineering & Technology
Subject
