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The relationship of road conditions and time change on the basis of people-machine-environmental coupling is researched. A prediction method of time recursive to confirm the shortest time of route is proposed. This method is as an accumulated experience basing on the idea of supervised learning in artificial neural network, colligating with the difference of road conditions during different time section,...
This paper presents an intelligent system to perform an erratic driving diagnosis. The proposed approach takes into account the analysis of the signals that could be acquired from modern on-board diagnostic systems (OBD-II), global positioning systems (GPS) and other localization sensors. Diagnosis of erratic driving could be essential to reduce accident rates, because of several applications that...
An urgent problem facing urban management departments and public transport enterprises has been how to dispatch and manage public transit vehicles in an efficacious way and how to develop the Strategy of Public Transport Priority in China. For the purpose of upgrading public transportation service and shortening the travel time of passengers, great importance should be attached to studies on the urban...
Integrated navigation system of ALV is discussed in this paper, a data fusion method based on BP (back propagation) neural network is proposed for ALV's GPS/DR integrated navigation. System models have been established based on this data fusion method. Integrated navigation system uses GPS parameters as criterion to judge the validity of GPS. When GPS is valid, neural network is adopted for state...
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