递进式项目化教学在公路工程造价课程中的应用

文章通过对现在高职教育改革状况的的分析,论证了道路桥梁技术专业改革的迫切性,主要介绍了递进式项目化教学在公路工程造价课程中的应用。     

二灰稳定钢渣路用性能试验研究

运用填充理论进行钢渣的级配和石灰、粉煤灰最佳比例的研究,通过对不同级配、不同二灰掺配比例的混合料路用性能比较,提出了一种最佳比例的二灰稳定钢渣混合料,其钢渣构成承重骨架,二灰密实地填充于其空隙中并裹覆其表面.用电镜等手段对其进行了微观分析；用抗压强度和回弹模量评价其力学性能.此项研究对利用钢渣铺路具有一定的借鉴作用.     

桂林市交通事故原因分析及改善策略

针对桂林市道路交通安全形势严峻的问题，采崩系统工程的方法对桂林市交通事故多发现象进行因果关系分析。以此为基础，借鉴香港的道路交通经验，并结合桂林市的实际，提出桂林市道路交通安全改善策略。运用高科技提高道路监管水平；加强管理，提高汽车安全性能；提高道路规划设计水平，改善道路条件；创造交通安全文化，提高人们的道路交通安全意识。     

基于生命周期理论的我国收费公路发展分析

收费公路类似自然生命,其成长和发展必然为一个具有若干阶段的连续过程。基于生命周期理论,对我国收费公路体系生命周期进行了探讨和分析。结果表明,2000年以后,我国收费公路进入成熟期;在2030年达到峰值后,收费公路在总量上开始缩减,进入衰退期,新的发展趋势也将逐渐体现。     

National road mortality reduction targets under European Union road safety policy: 2011–2020

The European Union (EU) has proposed renewing the target for halving the number of road fatalities in the period 2011–2020. In this paper, a nonlinear distribution method for dynamic fatality reduction targets is applied for the purpose of finding individual national mortality reduction targets for each of the 27 member countries in the EU. Weighting is undertaken for four scenarios based on the following indicators: road mortality rates, fatality rates, fatality risks, and fatality density. Results are presented for four proposals to reduce the number of fatalities in each Member State, based on the original situation of the indicators considered in the study. The results seek to provide policy-makers with a broader vision with regard to the achievement of the goals of EU road safety policy.     

重载交通沥青路面设计指标研究

重载交通地区车辆超载严重，路面质量下降迅速，严重影响了车辆的行驶速度和运行安全。沥青路面结构设计重点考虑沥青面层的疲劳开裂、半刚性基层的开裂和车辙三个方面的临界破坏情况。采用ANSYS有限元软件进行路面结构力学响应分析和常用沥青路面结构应力应变分析。     

旅客购票模式与渠道关联选择行为的建模分析

为分析多元化售票渠道下旅客购票选择行为的影响因素及交互特征，解析了多渠道情境下旅客购票过程的 3个阶段，辨识了旅客购票的 3类典型模式；运用协同进化分析思想，建立了购票模式与渠道关联选择的协同进化 Logit模型；基于道路客运联网售票信息系统数据，进行了模型的实证应用，分析了特征变量对旅客购票选择行为的影响，揭示了渠道与模式间关联选择行为特征.研究表明：性别，年龄，提前购票时间，出行时间，出行里程，发车频率等因素对旅客购票行为有显著影响；旅客购票模式和渠道选择间存在相关性，某一决策选择受另一决策结果的影响；考虑两者的交互作用有助于提高分析预测精度，2类决策模型的精度分别提高了5.98%和5.72%.     

Speed-independent vibration-based terrain classification for passenger vehicles

Terrain physical characteristics can have a significant impact on passenger vehicle handling, ride quality, and stability. Here, an algorithm is presented to classify terrain using a single suspension-mounted accelerometer. The algorithm passes a measured acceleration signal through a dynamic vehicle model to estimate the terrain profile, and then extracts spatial frequency components of this estimated profile. A method is introduced to identify and remove terrain impulses from the profile that are caused by ruts and potholes. Finally, a supervised support vector machine is employed to classify profile segments as members of pre-defined classes (such as asphalt, brick, gravel, etc.). The classification algorithm is validated with experimental data collected with a passenger vehicle driving in real-world conditions. The algorithm is shown to classify multiple terrain types with reasonable accuracy at a range of typical automotive speeds. It is also shown that the removal of terrain impulses prior to classification improves classifier performance.