A general introduction to the concept of HOV ( High Occupancy Vehicle ) lane and its developing process in Los Angeles is presented ;
介绍HOV(高承载率车辆)车道的概念及在洛杉矶的发展过程;
However , the current design of HOV is the one that only is integrated the results of all disciplines , not an optimization design .
将多学科优化方法引进载人潜水器的设计,从而可以实现真正的设计优化。
HOV lanes are normally created to increase higher average vehicle occupancy and person throughput with the goal of reducing traffic congestion and air pollution .
开设拼车专用道是为了提高车辆的平均上座率和人员通行量,以缓解交通拥堵和空气污染。
Developed countries like America often offer the traffic priority for the high occupancy vehicle ( HOV ) to detract the traffic congestion , protect environment and save resources .
Simulation results show that FNN controller can meet the control requirements of HOV , which can work well especially in the aspects of yaw keeping and speed control .
The simulation results show that compared with basic S surface control , the predictive S surface controller has better adaptability , and it can meet the control requirements of HOV .
Here MDO is used for framework designing of HOV as a new kind of method so that an optimal framework can be designed under the constraint of design request and performance target .
The measure of constructing HOV ( High Occupancy Vehicle ) special lanes , to provide priority for high occupancy vehicle , is a very effective method to solve the problem of urban traffic congestion .
Therefore , it has important significance of theory research and practical value.Based on the space motion equations with six degrees of freedom , a dynamic simulation model of the HOV is constructed according to the object that is studied .
本文基于操纵性六自由度空间运动方程,根据所研究的对象建立了载人潜水器的动力学仿真模型。
Based on improve the HOV model , the results show , the number of large-scale farms and slaughter capacity will decline in the region with strict environmental regulation , and decrease in the number of farms is greater than the decrease of slaughter .