Search

To simulate the monitoring process of an intelligent vehicle in automatic driving, firstly, the authors suggested a road model whose boundary consists of two approximate isometric curves. Secondly, this paper proposed a way for searching satisfying rectangular safe neighborhoods (RSN) in the road with a nonlinear programming method. Moreover, it costructed a simulation model with some obstacles in road by mutation of road boundary. Finally, it simulated that searching process of RSN and driving process for the intelligent vehicle based on the RSN in different roads. Simulation results show that, the method can plan driving route in unknown environments in real time, and deal with unexpected obstacles and other problems effectively. [ABSTRACT FROM AUTHOR]

To construct Lorenz curves of high fitting precision, this paper put forward two single-parameter models for Lorenz curves. Furthermore, it constructed a set of extended Lorenz curves by means of ways of such as compound, the weighted product and the convex combination, etc. based on the two proposed models. An illustration example shows that, compared with utilizing the Lorenz curves of trigonometric forms or the Lorenz curves of Pareto distribution separately, the Lorenz curves generated by the combination the Lorenz curves of trigonometric forms and the Lorenz curves of Pareto distribution have higher fitting precision, which verify the Lorenz curves of trigonometric forms are effective extensions of the existing ones. [ABSTRACT FROM AUTHOR]