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Vision-based lane detection is a critical issue in the field of intelligent transportation and safety driving, and is useful to predict the position of the car on the road. By analyzing many images in database and experimental results, we find that brightness difference between lane marking and road is the stable feature in various challenging scenarios. So in this paper, we propose a new, fast and...
Today, Intelligent Transportation System (ITS) applications has made a great impact on improving the quality and efficiency of the transportation system. This achievement has attracted researchers to propose more ITS applications, particularly to improve the transportation safety through Vehicular Ad Hoc Networks (VANETs). The major difficulty faced by these researchers is the verification of their...
Identifying and predicting the situation of traffic flow play an important role in traveler information broadcast and real-time traffic control. In this paper, a short-term traffic flow prediction model based on the parallel self-scaling quasi-Newton (SSPQN) neural network is presented. In this method, a set of parallel search directions are generated at the beginning of each iteration. Each of these...
Meshless method is a new numerical method on problem for determining solution of differential equation. The moving least squares approximation makes only require least squares approximation with regard to functional value at all nodes. It makes no require for the residual of derivative approximation. However, the generalized moving least squares approximation makes require least squares approximation...
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