“互联网+”环境下的道路交通信号辅助优化技术

在互联网+环境下,城市道路交通传统信号控制优化存在的技术瓶颈将得到有效突破。结合信号控制优化实际工作指出传统信号控制优化技术的瓶颈,分析互联网+技术辅助信号控制优化的解决思路及工作流程。重点探讨互联网+环境下的信号控制优化关键技术,例如主动发现问题、精准优化方案和客观量化评估优化效果等。其中针对方案优化还研究了利用互联网+数据校核交通模型以提高信号方案仿真精度。实践结果表明:利用互联网+技术可以有效辅助信号控制优化工作,提高信号控制方案与交通流的适配水平,有效缓解交通拥堵。     

燃气调压器声发射信号特征与流量关系分析

文中提取燃气调压器声发射信号的标准差、峭度这两个时域特征及重心频率、均方根频率这两个频域特征,分析特征与流量的对应关系,使用相关系数进行评价。基于北京某调压站采集的声发射信号及流量数据,实验结果表明,流量与标准差、峭度、重心频率、均方根频率的相关系数分别为0.8192、0.2889、0.7745、0.641。可见标准差、重心频率及均方根频率与流量相关性较强,峭度与流量相关性较弱。     

基于ANSYS的三通道储罐结构加固及修复技术

以一台三通道储罐为分析对象,此储罐在轻微压力环境下即发生了局部开裂。以ANSYS有限元方法为基础,通过在内部合理布置T型钢加强筋的方式进行结构加固。并在确保结构强度的前提下,计算出了板制T型钢厚度的最优解。自加固修复后,此三通道储罐已安全运行2 a以上,这种基于ANSYS的结构加固及修复技术,体现了良好的工程实用性和经济性。     

中国近周边海域船舶排放清单及排放特征研究

为分析我国沿海船舶大气污染物排放特征,本研究以船舶自动识别系统数据为基础,收集整理国内外船舶静态数据、排放参数,结合船舶实际航行资料,采用动力法估算了中国近周边海域2014年的船舶排放清单,并分析了靠港、锚泊、港内机动、低速、巡航5个船舶状态下的排放特征,按不同海区对排放进行了统计,并给出了我国三个排放控制区的船舶大气污染物排放情况。结果表明,中国近周边海域范围内由于船舶活动一年产生的硫氧化物、氮氧化物、PM10分别约为87.98万吨、137.84万吨、11.73万吨。排放源分析表明,在船舶的主机、辅机和锅炉3种排放源中,主机是主要排放源,且在航行状态上低速巡航状态排放最大。船舶排放污染物的空间分析表明,90%的船舶排放发生在海岸线至领海基线外96海里范围内,即距离陆地200公里的海域内。     

荷坳隧道四洞小净距段支护结构设计研究北大核心CSCD

多洞空间小净距隧道支护结构参数量化设计与安全性分析是当前设计中的一大难题。文章针对深圳机荷高速公路荷坳隧道四洞小净距段的设计,采用总安全系数法对四洞的开挖与支护模式、各洞的开挖顺序及支护参数进行了研究比较,并采用隧规荷载-结构法、增量法、地层-结构法对支护结构的安全系数进行了对比计算,得出以下结论:(1)提出了基于总安全系数法原理的多洞空间小净距隧道设计方法;(2)根据总安全系数法得出了荷坳隧道四洞小净距段应采用“先行洞二次衬砌完成后再开挖下一孔隧道”的开挖与支护模式,且应按洞1→洞2→洞3→洞4的开挖顺序施工;(3)隧规荷载-结构法、增量法、地层-结构法虽无法得出结构的总承载安全系数,但在一定程度上可以反应部分支护结构的安全性。     

二灰碎石基层冷再生施工技术应用

利用旧路面基层获取铣刨料,添加新鲜骨料、结合料后进行再生混合料级配组成及配合比设计。利用二灰比、集料含量与28d劈裂强度关系方程,对配合比进行验证。着重阐述了混合料拌和工艺及连续式拌和设备成品料仓的改进。在拌和、摊铺、压实、养生等工艺上对再生混合料的施工提出控制要点及质量控制措施。     

Enhanced traffic information dissemination to facilitate toll road utilization: a nested logit model of a stated preference survey in Texas

This paper investigates the effects of the provision of traffic information on toll road usage based on a stated preference survey conducted in central Texas. Although many researchers have studied congestion pricing and traffic information dissemination extensively, most of them focused on the effects that these instruments individually produce on transportation system performance. Few studies have been conducted to elaborate on the impacts of traffic information dissemination on toll road utilization. In this study, 716 individuals completed a survey to measure representative public opinions and preferences for toll road usage in support of various traffic information dissemination classified by different modes, contents, and timeliness categories. A nested logit model was developed and estimated to identify the significant attributes of traffic information dissemination, traveler commuting patterns, routing behavior, and demographic characteristics, and analyze their impacts on toll road utilization. The results revealed that the travelers using dynamic message sign systems as their primary mode of receiving traffic information are more likely to choose toll roads. The potential toll road users also indicated their desire to obtain traffic information via internet. Information regarding accident locations, road hazard warnings, and congested roads is frequently sought by travelers. Furthermore, high-quality congested road information dissemination can significantly enhance travelers’ preferences of toll road usage. Specifically the study found that travelers anticipated an average travel time saving of about 11.3 min from better information; this is about 30 % of travelers’ average one-way commuting time. The mean value of the time savings was found to be about $11.82 per hour, close to ½ of the average Austin wage rate. The model specifications and result analyses provide in-depth insights in interpreting travelers’ behavioral tendencies of toll road utilization in support of traffic information. The results are also helpful to shape and develop future transportation toll system and transportation policy.     

Hybrid model for prediction of bus arrival times at next station

Effective prediction of bus arrival times is important to advanced traveler information systems (ATIS). Here a hybrid model, based on support vector machine (SVM) and Kalman filtering technique, is presented to predict bus arrival times. In the model, the SVM model predicts the baseline travel times on the basic of historical trips occurring data at given time‐of‐day, weather conditions, route segment, the travel times on the current segment, and the latest travel times on the predicted segment; the Kalman filtering‐based dynamic algorithm uses the latest bus arrival information, together with estimated baseline travel times, to predict arrival times at the next point. The predicted bus arrival times are examined by data of bus no. 7 in a satellite town of Dalian in China. Results show that the hybrid model proposed in this paper is feasible and applicable in bus arrival time forecasting area, and generally provides better performance than artificial neural network (ANN)–based methods. Copyright © 2010 John Wiley & Sons, Ltd.     

下穿既有公路的土江冲隧道双层管棚设计及监测分析

位于常—吉高速公路上的土江冲隧道是一座下穿既有公路的四车道连拱隧道,施工中为了控制地面沉降,在洞口段采用双层管棚作为辅助施工方法,保证了隧道施工安全和319国道的畅通;在隧道开挖过程中,掌子面附近的管棚变形最大,隧道开挖纵向影响范围为1.5~2.0倍开挖高度。文章介绍了管棚设计、施工情况和监测结果。