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Estimation of traffic flow with reasonable accuracy is essential for successful implementation of an intelligent transportation system (ITS). Crossroads are important part of urban traffic system, whose flow prediction on each direction is one of the most extraordinary key functions in the urban ITS. Some forecasting models have been developed, but these methods' precision usually can't meet with...
This paper puts forword a mathematical model of BP neural network of ultracapacitor, based on analysing its energy storage and characteristics of current and voltage variation in charge and discharge process, considering the effect of temperature, current and voltage variations to ultracapacitor, and builds the model of hybrid electric vehicle (HEV) and its drive system respectively. From the analysis...
Detecting vehicles from video sequence is very challenging due to the wide varieties of vehicle appearances and the complexity of the backgrounds. At present, many algorithms in the image recognition have a narrow applicability and a weak real-time. Aiming at this problem, a recognition method which was combined by features extraction using Gabor wavelet and BP neural network algorithm for the classification...
A parameter adjustment method of PID controller with BP neural network is developed and applied to freeway on-ramp metering in this paper. Firstly, the objective of ramp metering is determined, and a traffic flow model to describe the freeway flow process is built. Then the learning algorithm of BP neural network for adjusting the proportional, integral and differential coefficients is formulated...
The classification and statistics of the vehicles type in the road section are important parameters for the traffic management and control. The paper put forward the vehicle classification using image invariant moment and BP neural networks. First of all, road background is rebuild according to the serials images, and the background differences are used to segment vehicle region, invariant moment...
The license plate character recognition (LPCR) algorithm is considered as the most crucial step in the vehicle license plate recognition (VLPR) system. It needs fast speed in finding an optimal solution and good optimization effect. After turning it to a global optimization problem, we propose a more practicable one- parameter filled function, then present an improved LPCR algorithm which combines...
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