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In existing trust establishment researches, the decision making accuracy and decision delay of received event message are both the outstanding problems in VANETs. Especially on the decision delay, the delay of alert event might lead to traffic accident and injury. In this paper, we propose an adaptive decision making model which can make decision quickly by the effective and quick assistance of the...
Innovative driving assisting systems, such as Green Light Optimal Speed Advisory (GLOSA), efficient start-stop control or traffic light warning systems can contribute to reducing CO2 emissions and traffic accidents. These systems necessitate reliable estimations on future traffic light signals on a large scale. However, due to dynamic adjustment of traffic lights' signal phasing and timing, the provision...
Current fields of research in the automotive sector are dealing with the development of new driving-assistance-functions that aim to improve security, efficiency and comfort of vehicles. A significant field of study represents the prediction of traffic signals ahead that enable innovative functionalities such as Green Light Optimal Speed Advisory (GLOSA) or efficient start-stop control. This paper...
Stopping accuracy is an important index to measure the performance of Automatic Train Operation, as well as a significant guarantee of the safety of the train's operation. However, during the braking process, the stopping accuracy tends to be affected by line conditions and brake shoe friction coefficients. In this paper, a braking model of the train reflecting these uncertain conditions, also the...
Vehicle autonomous navigation is one of the big challenges for cooperative vehicle infrastructure systems. Besides concerning the position accuracy level, the system integrity is chosen as another key index to represent the performance of the vehicle navigation system. This paper presents a novel solution for multi-sensor based vehicle autonomous navigation, in which the interacting multiple model...
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