极软岩作为路堤填料施工工艺的模糊评判

随着高等级公路建设突飞猛进,软岩在公路建设中如何使用就成为工程技术人员普遍关注的问题。在广西修建的许多高速公路需要利用极软岩作为公路填料。工艺试验研究表明:极软岩可以作为高速公路的填料,在进行了综合试验后,通过模糊评判表明,适用它的最佳松铺厚度为35cm。对于极软岩应用于其它高速公路上也具有重要的借鉴意义。     

复杂路况下汽车主动避撞报警技术研究

汽车主动避撞报警技术对提高行车安全有重要意义,但如何减少复杂路况下行车时的误警率是当前需解决的关键问题。通过测量车载信息如汽车转向角度、车速、制动信号、转向灯信号等获知汽车的行驶状态,利用雷达技术感知路况和危险,基于合理的报警算法和控制策略,研制出复杂路况下的汽车主动避撞报警系统。通过实际道路报警试验,结果表明所采取的减少误警率的方法是有效的,所开发的报警系统更趋实用化。     

基于自适应遗传算法的路堤边坡稳定性分析方法

基于圆弧滑动面假定,提出了一种用自适应遗传算法搜索最危险滑动面及其对应的最小安全系数的新方法。该方法是一种改进的遗传算法,采用自适应求取适值、动态调整交叉率和变异率、自适应区间收缩。自适应遗传算法有效克服了传统方法易陷入局部极小的缺陷,提高了算法的搜索效率、精度和稳定性。     

山区公路层间滑移破坏机理分析及对策研究

通过现场调查,初步分析了山区公路沥青路面基面层滑移的主要原因。应用有限元法,对基层和面层之间的剪应力进行计算分析,得出了基面层间剪应力变化的一般规律,认为层间最大剪应力主要取决于面层厚度和荷载条件。在前述计算分析的基础上,利用自行研制的DLG A路面材料剪切仪进行了大量的层间滑移室内模拟试验,考察了不同的层间处理措施、温度、基层类型等因素对层间抗剪能力的影响,提出了防止基面层滑移的技术措施。     

基于专家系统和证据理论的路面破损原因评价方法研究

路面破损原因评价是一项经验性很强的工作,通过采用专家系统技术,利用路面养护专家经验和知识形成产生式规则,并对单处路面破损原因进行评价。根据对单处路面破损原因的评价结果中也包含了导致整个路段路面破损主要原因的信息这一特点,介绍了引入证据理论将这方面信息提取出来,合成得出对整个路段的主要破损原因评价的方法。     

道路预成形标线带检测技术

对道路预成形标线带检测技术,包括检测标准、产品分类、测试条件和技术要求等,结合国外先进标准进行分析研究。重点介绍在编写其检测标准时,对物理性能、色度性能、逆反射性能、耐水性能、耐碱性能、耐磨性能、粘结性能、抗滑性能等各项技术指标,参考国外先进标准和国内实际情况进行研究确定的过程,指导对国内标线带的产品检测和质量控制。     

非港湾式公交停车对道路交通流的影响分析

公交车进出站点不仅影响本身,也给其他车辆运行带来很大干扰。文章首先比较全面地分析非港湾式公交停车影响下道路交通流特征,然后借助于EXCEL软件,构建关于公交停车频率、公交停车时间、最大公交停车长度及其存在时间、道路流量的车速和车头时距多元线性模型,并进行了严格的数学检验。该研究为合理分析路段交通流状况、正确计算区间行驶车速与车头时距提供了依据。     

车辆高速行驶安全的思考

分析了轮胎等汽车部件对行车安全的作用，论述了对ABS和车轮定位参数日常检测的必要性．介绍了电涡流中央制动器的制动原理和使用成本。     

电动汽车充电桩安全管理研究

随着国家对环境保护和能源节约的重视以及新能源政策的实施,电动汽车行业迎来了快速发展。充电基础设施的建设,是加快电动汽车推广的重要需要。电动汽车充电基础设施建设和运营业务发展的机会也极大,随之而来的安全管理工作要求也越来越高。本文依据充电桩建设和运营的特点,剖析其中面临的安全风险,并提出加强安全管理工作的措施,为充电桩企业安全管理运营提供参考和借鉴。     

Autonomous cars: The tension between occupant experience and intersection capacity

Systems that enable high levels of vehicle-automation are now beginning to enter the commercial marketplace. Road vehicles capable of operating independently of real-time human control under an increasing set of circumstances will likely become more widely available in the near future. Such vehicles are expected to bring a variety of benefits. Two such anticipated advantages (relative to human-driver vehicle control) are said to be increased road network capacity and the freeing up of the driver-occupant’s time to engage in their choice of leisurely or economically-productive (non-driving) tasks.In this study we investigate the implications for intersection capacity and level-of-service of providing occupants of automated (without real-time human control), autonomously-operating (without vehicle-to-X communication) cars with ride quality that is equivalent (in terms of maximum rates of longitudinal and lateral acceleration) to two types of rail systems: [urban] light rail transit and [inter-urban] high-speed rail. The literature suggests that car passengers start experiencing discomfort at lower rates of acceleration than car drivers; it is therefore plausible that occupants of an autonomously-operating vehicle may wish to instruct their vehicle to maneuver in a way that provides them greater ride comfort than if the vehicle-control algorithm simply mimicked human-driving-operation.On the basis of traffic microsimulation analysis, we found that restricting the dynamics of autonomous cars to the acceleration/deceleration characteristics of both rail systems leads to reductions in a signalized intersection’s vehicle-processing capacity and increases in delay. The impacts were found to be larger when constraining the autonomous cars’ dynamics to the more-restrictive acceleration/deceleration profile of high-speed rail. The scenarios we analyzed must be viewed as boundary conditions, because autonomous cars’ dynamics were by definition never allowed to exceed the acceleration/deceleration constraints of the rail systems. Appropriate evidence regarding motorists’ preferences does not exist at present; establishing these preferences is an important item for the future research agenda.This paper concludes with a brief discussion of research needs to advance this line of inquiry.