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In this paper we consider the mechanism design of traffic BOT project auction. We set up the model of traffic BOT project auction where firms bid on capacity and concession term, and bids are evaluated by a scoring rule designed by the auctioneer. We educe the optimal auction mechanism by analyzing the incentive compatibility. In addition, we find that the optimal capacity is chosen independently...
Neural network is a technology for intelligent transportation system and it is important in vehicle type recognition. However, traditional vehicle type recognition method always utilize BP network. A new vehicle type recognition based on radial basic function neural network was proposed. Also discussed are the problem of feature of vehicle feature vector, the problem of normalization of the image-size,...
Vehicle type recognition is an active subject in the area of computer pattern recognition, which has been a focus in reach for the last couple of decades because of its wide potential application. And edge detection is an important step for vehicle type recognition, a vehicle type recognition method based on Sobel was proposed. Also discussed are the vehicle vector and the vehicle recognize process...
Vehicle type automatic recognition is of great important today in intelligent transportation system. And neural network is often applied to recognize the vehicle type. However, the network can be very complex and therefore difficult to be trained. In order to cope with such issues, a new developed vehicle type recognition method based on contour feature is presented in this study. It is applied to...
First, the background, significance and general implementation of vehicle license plate recognition (VLPR) are introduced. Based on analyzing the theory of neural network pattern recognition system, toward the limitation of standard BP, this thesis offers its improved method and a real recognition example. Finally, conclusion on its characteristic is given. The improved BP algorithm had some advantages...
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