A novel fuzzy logic correctional algorithm for traction control systems on uneven low-friction road conditions

The traction control system (TCS) might prevent excessive skid of the driving wheels so as to enhance the driving performance and direction stability of the vehicle. But if driven on an uneven low-friction road, the vehicle body often vibrates severely due to the drastic fluctuations of driving wheels, and then the vehicle comfort might be reduced greatly. The vibrations could be hardly removed with traditional drive-slip control logic of the TCS. In this paper, a novel fuzzy logic controller has been brought forward, in which the vibration signals of the driving wheels are adopted as new controlled variables, and then the engine torque and the active brake pressure might be coordinately re-adjusted besides the basic logic of a traditional TCS. In the proposed controller, an adjustable engine torque and pressure compensation loop are adopted to constrain the drastic vehicle vibration. Thus, the wheel driving slips and the vibration degrees might be adjusted synchronously and effectively. The simulation results and the real vehicle tests validated that the proposed algorithm is effective and adaptable for a complicated uneven low-friction road.     

The effects of wheelset driving system suspension parameters on the re-adhesion performance of locomotives

In this study, in order to examine the effects of a wheelset driving system suspension parameters on the re-adhesion performance of locomotives, the stick–slip vibration was analysed according to theoretical and simulation analysis. The decrease of the slip rate vibration amplitude improved the stability of the stick–slip vibration and the re-adhesion performance of locomotives. Increasing the longitudinal guide stiffness of the wheelset and the motor suspension stiffness were proposed as effective measures to improve the re-adhesion performance of locomotives. These results showed that the dynamic slip rate was inversely proportional to the series result of the square root of the longitudinal guide and motor suspension stiffness. The larger the motor suspension stiffness was, the smaller the required longitudinal guidance stiffness was at the same re-adhesion time once the wheel slip occurred, and vice versa. The simulation results proved that the re-adhesion time of the locomotive was approximately proportional to amplitude of the dynamic slip rate. When the stick–slip vibration occurred, the rotary and the longitudinal vibrations of the wheelset were coupled, which was confirmed by train's field tests.     

Suburban attitudes toward policies aimed at reducing solo driving

Policies that are aimed at discouraging commuters from solo driving have become a part of overall efforts to improve air quality and reduce traffic congestion. Since driving alone is the overwhelming choice of employed residents in US metropolitan areas, the political acceptability of proposed policy changes plays a role in their success. The 1992 Orange County (CA) Annual Survey asked employed solo drivers to rate their likelihood of changing from solo driving in response to various fees and incentives. Fewer say they would be very likely to stop solo driving if they were charged a parking fee at work (20%), a smog fee (17%) or a congestion fee (16%), than if their employers paid them a cash bonus for stopping solo driving (28%), or if more public transit (33%) or more carpools at work (35%) were available. Young and lower-status solo drivers are more likely than others to say they would stop driving alone if there were fees or cash bonuses. Current non-solo drivers tend to be young and low income, providing a validity check on the demographic predictors of stated preferences. The findings are discussed in light of recent policy changes in Southern California.     

Study on driver model for hybrid truck based on driving simulator experimental results

In this paper, a proposed car-following driver model taking into account some features of both the compensatory and anticipatory model representing the human pedal operation has been verified by driving simulator experiments with several real drivers. The comparison between computer simulations performed by determined model parameters with the experimental results confirm the correctness of this mathematical driver model and identified model parameters. Then the driver model is joined to a hybrid vehicle dynamics model and the moderate car following maneuver simulations with various driver parameters are conducted to investigate influences of driver parameters on vehicle dynamics response and fuel economy. Finally, major driver parameters involved in the longitudinal control of drivers are clarified.     

分布式地铁列车驾驶仿真器的体系结构

从列车驾驶仿真器的体系结构出发,提出一种分布式列车驾驶仿真器的实现方案。该方案中,地铁列车驾驶仿真器由数据采集及输出、主控、ATC仿真、视景仿真、声音仿真、数字广播及通信仿真、运动平台控制等仿真子系统组成。子系统间采用IP组播的方式进行通信。方案支持基于DIS协议的仿真器间的通信,可实现多仿真器协同训练。为降低通信强度,提高仿真的实时性,采用一种DR算法。     

盘式制动器性能试验台模拟机的研制

对盘式制动器工作原理及试验原理进行了研究，研制开发出了盘式制动器性能试验台模拟机。介绍了模拟机主机部分的设计，实现飞轮组的多片组合，设计出驱动制动系统和单片机测试系统，以保证系统的模拟精度。     

人机混驾环境下基于深度学习的车辆切入轨迹预测

为保证人机混驾环境下自动驾驶汽车的安全行驶,对周围车辆切入轨迹的预测至关重要.本文首先使用Savitzky-Golay滤波器对大规模采集的自然驾驶数据进行去噪处理,根据准则提取车辆切入片段,建立符合中国道路状况的车辆切入数据集.其次,发挥Bi-LSTM网络能充分利用上下文信息的优点和in-out快捷连接有效减少梯度消失...     

基于ARM单片机的汽车模拟驾驶器设计

在汽车驾驶模拟器中,传感控制系统的性能直接影响到整个汽车驾驶模拟系统的交互性和实时性,是衡量汽车驾驶模拟器实用性能的重要指标,而数据采集和处理系统又是整个传感控制系统的核心。文章介绍了汽车模拟驾驶系统的工作原理和单片机系统的设计思路。结果表明,由于单片机的数据采集系统成本相对较低,接口的可扩展性好,模拟量和开关量的预处理工作也可以由单片机来完成,因此系统完全可以满足汽车驾驶模拟器的交互性和实时性要求,在实际应用中取得了较好的效果。     

航海模拟器中船舶进港训练评估系统的研究

为了提高航海训练评估的效率,减少主观因素对评估结果的影响,实现自动评估成为当前热点。在调查大量的学员实际训练和考试评估数据基础上,利用概率论中的非参数假设检验方法,对学员的操纵误差予以分析,得到学员的误差分布函数,并结合教师在考试评估中评定成绩的概率,计算出评估的等级区间。最后利用加权平均法计算出学生的综合成绩,采用VC＋＋6．0实现的系统在航海模拟器上测试,得到了比较理想结果。     

一种雷达目标模拟器的DSP软件设计

为了配合某型C波段宽带雷达系统进行设备调试和功能检查,模拟器采用软硬件结合的方法。当雷达发射窄带信号时,目标回波通过对雷达发射信号进行延迟、频移等实现;当雷达发射宽带信号时,采用波形预先存储的方式进行回波的产生。模拟器通过操控计算机输入不同的雷达参数、目标特性数据,能模拟雷达所需的射频目标回波信号,以达到不同的测试要求,具有使用灵活、低成本、扩展性强的特点。