Fractional-order-based ACC/CACC algorithm for improving string stability

Traffic flow optimization and driver comfort enhancement are the main contributions of an Adaptive Cruise Control (ACC) system. If communication links are added, more safety and shorter gaps can be reached performing a Cooperative-ACC (CACC). Although shortening the inter-vehicular distances directly improves traffic flow, it can cause string unstable behavior. This paper presents fractional-order-based control algorithms to enhance the car-following and string stability performance for both ACC and CACC vehicle strings, including communication temporal delay effects. The proposed controller is compared with state-of-the-art implementations, exhibiting better performance. Simulation and real experiments have been conducted for validating the approach.     

On the variance of recurrent traffic flow for statistical traffic assignment

This paper generalizes and extends classical traffic assignment models to characterize the statistical features of Origin-Destination (O-D) demands, link/path flow and link/path costs, all of which vary from day to day. The generalized statistical traffic assignment (GESTA) model has a clear multi-level variance structure. Flow variance is analytically decomposed into three sources, O-D demands, route choices and measurement errors. Consequently, optimal decisions on roadway design, maintenance, operations and planning can be made using estimated probability distributions of link/path flow and system performance. The statistical equilibrium in GESTA is mathematically defined. Its multi-level statistical structure well fits large-scale data mining techniques. The embedded route choice model is consistent with the settings of O-D demands considering link costs that vary from day to day. We propose a Method of Successive Averages (MSA) based solution algorithm to solve for GESTA. Its convergence and computational complexity are analyzed. Three example networks including a large-scale network are solved to provide insights for decision making and to demonstrate computational efficiency.     

现代大学生公寓电气设计浅析

文章采用文献资料、归纳与综合、专家访谈等研究方法,对现代大学生公寓电气设计进行了系统研究,主要内容包括配电系统、负荷系统、防雷接地、消防系统和智能化五个方面,旨为大学生公寓的电气设计提供有益资讯．     

四川旅游资源交通系统综合布局分析

作为影响旅游活动的重要因素之一,交通布局直接关系到旅游业的发展。本文根据四川旅游资源的现状、地理位置等情况,将四川划分出三大旅游经济圈,从各旅游经济圈交通现状及客流特征入手,利用关联分析的方法,结合数据对比,剖析了各旅游经济圈与交通的关联。最后,在整合四川旅游资源的前提下,得出了四川旅游资源交通系统综合布局的相关结论。     

基于GSM短消息的木材运输码单稽查系统

为解决因网络无法延伸到达林区作业现场而无法实时荻取运输数据问题,作者应用手机短信技术研究和构建了适合于南方林区特点的县级木材运输稽查管理网络系统。本文着重分析手机短信检尺码单信息处理系统的组成、短信平台的特点与选择、信息编码的格式与计算方法,详细论述了系统软件设计方法、长短信处理技术、稽查数据的短信格式和系统运行模式．系统的应用显著提高了木材运输稽查管理水平和工作效率,有良好的推广前景。     

高速公路中收费和清分的动态解决方案

在高速公路收费和清分过程中,由于新增的高速公路和收费站点特别是环型路段的增加使得原有的静态算法已经不适宜于现实情况。本文提出了高速公路中基于最短路径和环型路段的动态收费和清分解决方案,并给出了详细的基于环型路段的动态算法。环型路段问题解决后,可以判知车辆实际行车路线,从而大幅提高收费及清分的准确性和效率。     

区域道路运输相对效率截面分析

随着区域路网的完善,其承载的道路运输业也呈现快速发展态势。在区域层面上,实现两者的良性互动,需要因地制宜,实现区域与运输业阶段性的协调决策,进而保证在全社会范围内对优化资源配置。这些分析的实现需要合适的评价方法对道路运输业投入要素与产出要素间的内在关系进行深入研究,并能对投入、产出要素进行量化控制。本文引入数据包络分析方法（Data Envelopment Analyses,简称DEA方法）,采用CCR模型（Charnes,Cooper and Rhodes Model）以各区域道路运输为决策单元;构筑各区域道路运输生产前沿面,评价各单元的相对效率,分析各要素投入的变动对产出的影响。     

昆明市“月月无车日活动”及公众调查分析

调查了解公众对无车日活动常态化这一公共政策的反应,能够为城市交通政策的制定提供一定的技术参考。介绍了昆明市城市交通概况及首个无车日活动成效,同时,对“月月无车日活动”做了概述,在总结前几次活动经验的基础上,给出了活动的进一步调整方案。通过对无车日活动公众调查问卷的数据分析,得出大多数公众对“月月无车日活动”的态度是理解和支持的;在无车日当天,私人小汽车拥有者选择公共交通作为替代小汽车出行方式的比例最高。另外,大力发展公共交通也被受访者认为是解决城市交通拥堵应当首选的措施。