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The absolute positioning technique based on cross coding inductive loop wire has been recognized as the most suitable one to be applied in medium-low speed maglev train system, and the speed measuring method which utilizes the information collected from the lowest address code line has also been recognized as a reliable way for such system. Consider that cross coding inductive loop wire based positioning...
Pay-how-you-drive (PHYD), which has already been recognized as the most promising differentiated commercial vehicle insurance product in usage based insurance (UBI), can objectively analyze the risk level of each insured vehicle by analyzing its driving style from raw data collected by on-board diagnosis (OBD) module set up on it. Finding certain kinds of driving styles, or risk modes from raw data...
Pay-how-you-drive (PHYD), which is an advanced product form in usage based insurance (UBI) for vehicle, takes not only driving habit and behavior into consideration in its actuary process, but geographical factors, sociological factors, psychological factors, and even meteorological factors as well. PHYD insurance product is supported by refinement and analysis based on raw driving data of insured...
Pay-how-you-drive (PHYD), which is a driving behavior related premium rate setting method in usage based insurance (UBI), has drawn widespread attention in commercial vehicle insurance as well as internet-of-vehicle (IoV) industry nowadays, for it can not only help insurance companies to fully master the driving information of all insured vehicles, but can help to establish a corresponding premium...
This paper presents an direct adaptive control for an uncertain electric seatless unicycle using wavelet fuzzy cerebella model articulation controller (WFCMAC). The WFCMAC is proposed to approximate the equivalent control part and uncertainties. A nonlinear backstepping sliding-mode controller with on-line adaptive laws is presented to accomplish adaptive robust self-balancing and speed control of...
This paper presents an adaptive steering control of an electric seatless unicycle using fuzzy cerebella model articulation controller (FCMAC), which are employed to approximate the frictions between the wheel and terrain surface. A backstepping controller with on-line parameter tuning rules is then presented to simultaneously achieve self-balancing and forward motion of the vehicle based on the rider's...
This paper presents an intelligent adaptive steering control using linear quadratic regulation (LQR) approach and fuzzy cerebella model articulation control (CMAC) method for an electrical unicycle. The fuzzy CMAC is employed to on-line learn unknown frictions between the wheel and the terrain surfaces. The LQR approach is used to design a state feedback controller, in order to simultaneously achieve...
Information retrieval is the essential task for traffic information service system in intelligent transportation systems (ITS). There a lot of fuzzy traffic information derived from human factor. To achieve fuzzy semantic retrieval, this paper proposes an approach using resource description framework (RDF) and fuzzy ontology. First, we apply RDF data model to represent traffic information on the semantic...
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