基于灰色评价理论的自适应最优路径选择

充分考虑了驾驶员在路径选择中的不同要求,依据层次分析法和灰色评价理论建立了一种根据驾驶员的偏好自适应选择最优路径的方法,并设计了相应的决策支持系统,为智能交通流诱导系统的进一步发展铺平了道路。     

PLC在沥青混凝土摊铺机行驶控制系统中的应用

结合摊铺机行驶系统的功能要求及PLC的特点，完成了控制系统的硬件设计和软件设计。对其速度闭环控制，引入了PID校正环节，根据控制系统模型动态仿真试验，确定了PID参数。通过PLC模拟试验，初步证实了控制系统设计的可行性和合理性。     

铰接式自卸车国内外发展及悬挂系统的探讨

以铰接式自卸车与悬挂系统为背景，分析了铰接式自卸车的国内外发展与悬挂系统的现状、特性与优化设计方案。     

基于ITS的汽车主动避撞性关键技术研究(一)

利用信息感知、动态辨识、控制等技术与方法提高汽车的主动安全性，是智能交通系统（ITS）的主要研发内容之一。介绍了基于ITS的汽车主动避撞关键技术的研究工作，主要包括：车辆运动中对周围障碍物的感知技术方法；危险或安全状态的动态辨识；具有主动避撞性能的ACC（Adaptive Cruise Control）技术等；给出了相关技术研究的仿真及实验结果，并对该技术在我国的实用化前景进行了展望。     

克莱斯勒轿车无分电器点火系的故障诊断与检修

克莱斯勒汽车公司的君王、纽约客、LHS及前景牌轿车的3．3L、3．5L V6发动机均采用无分电器点火系。该点火系统由点火线圈组件、曲轴位置传感器、动力控制模块(PCM)、继电器等组成。介绍了发动机不能起动的检测与利用故障码诊断技术。另外，介绍了点火线圈的检查，曲轴位置传感器与凸轮轴位置传感器的检查，火花塞的检查方法等。     

压实质量的动态控制

探讨了压路机在压实施工中，压实质量的动态控制问题。结合课题实践，构思出了压实质量动态适时控制系统的工作框图。     

国内改性沥青自动化生产的现状与发展

本介绍了国内目前改性沥青生产自动控制的现状及存在的不足，对比多种控制方案的优缺点，探讨了国内改性沥青生产自动化控制的发展方向，为生产企业选择自动控制方案提供了依据。     

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.     

Smarter and more connected: Future intelligent transportation system

Emerging technologies toward a connected vehicle-infrastructure-pedestrian environment and big data have made it easier and cheaper to collect, store, analyze, use, and disseminate multi-source data. The connected environment also introduces new approaches to flexible control and management of transportation systems in real time to improve overall system performance. Given the benefits of a connected environment, it is crucial that we understand how the current intelligent transportation system could be adapted to the connected environment.