隧道超前地质预报TGP地震波法与地质雷达法适用性分析

隧道工程施工是一项十分复杂、施工周期较长的工作,并且施工中地质情况变化大,对于施工安全要求较高,因此如何准确、有效、快捷地对作业面前方的地质情况进行预报是许多工程技术以及管理人员面临的一大难题。针对目前我国公路工程隧道施工中常见的两种超前地质预报方法,阐述了其原理及应用情况,并进行了对比分析,以期为同行提供一定的参考与借鉴。     

考虑土地利用性质匹配度的城轨客流分布预测

传统城轨站间客流分布模型较少考虑起讫点土地利用对客流分布的影响,当 站点周边土地利用发生改变时适用性变差,无法保持较好的预测精度,因此有必要构建 考虑站点土地利用及其站点间土地利用性质匹配度的客流分布预测模型.首先,基于站点 聚类分析土地利用性质与客流分布之间的关联性,构造性质匹配度指标;其次,综合考虑 站点土地利用、性质匹配度、终点站吸引量、运行时间等因素建立效用函数,结合客流数 据进行参数估计,构建基于目的地选择的轨道交通客流分布模型;最后,利用广州市轨道 交通客流量数据对其进行精度分析.结果显示,在站点土地利用性质未发生改变与改变情 景下全网站间客流分布量的平均绝对误差仅为29.30 和29.52 人,表明模型具有较高的预 测精度.     

航道货运量预测方法及其应用

为了精确预测航道未来货运量需求,克服传统预测方法无法实现复杂非线性拟合的缺点,分析了航道货运量的影响因素,探讨了遗传规划方法在航道货运量预测问题上的应用.根据遗传规划巾复制、交换、变异等进化方式,建立了基于遗传规划的航道货运量预测模型.以江苏省连申线苏北段历年货运量及区域经济发展状况为样本,采用遗传规划方法自动找出货运量随时间变化的规律,并对未来货运量进行了预测.结果表明,本箅法的计算相对误差很小,预测结果合理可信,且优于常用的回归预测,为解决航道货运量等非线性系统预测提供了一条新的途径.     

优化广西铁路建设项目顺序研究

在综合分析国家及区域"十二五"经济社会发展规划、中长期铁路网规划等规划基础上,预测研究年度区域各铁路客货运量、构成及其未来发展趋势;分析各铁路项目的功能定位及其在区域路网中发挥的运输效益;综合考虑经济效益、社会效益及国家宏观经济政策,提出优化广西铁路建设项目顺序和提高运能的方案,达到提前发挥投资效益的目的。     

2008年市场预期与展望

文章从修理与改装市场、船舶建造市场、海洋工程建造市场方面分析论述了在全球经济的大环境下，国内修船市场、船舶与海洋工程建造市场面对的机遇与挑战。     

A new methodology for incident detection and characterization on surface streets

In this paper, a new methodology is presented for real-time detection and characterization of incidents on surface streets. The proposed automatic incident detection approach is capable of detecting incidents promptly as well as characterizing incidents in terms of time-varying lane-changing fractions and queue lengths in blocked lanes, lanes blocked due to incidents, and incident duration. The architecture of the proposed incident detection approach consists of three sequential procedures: (1) Symptom Identification for identification of incident symptoms, (2) Signal Processing for real-time prediction of incident-related lane traffic characteristics and (3) Pattern Recognition for incident recognition. Lane traffic counts and occupancy are the only two major types of input data, which can be readily collected from point detectors. The primary techniques utilized in this paper include: (1) a discrete-time, nonlinear, stochastic system with boundary constraints to predict real-time lane-changing fractions and queue lengths and (2) a pattern-recognition-based algorithm employing modified sequential probability ratio tests (MSPRT) to detect incidents. Off-line tests based on simulated as well as video-based real data were conducted to assess the performance of the proposed algorithm. The test results have indicated the feasibility of achieving real-time incident detection using the proposed methodology.     

基于径向基函数网络的社会消费品总额预测模型

利用BP、RBF神经网络自适应学习法模型,对社会消费品总额进行了预测和研究,结果表明用RBF网络自适应学习法所建立的模型经过训练后,可得到较精确的预测结果,并具有较强的应用性。     

化马隧道涌水处理浅析

化马隧道涌水为高压宽张岩溶裂隙水,具水量大,压力高,涌水连续、贯通性好、补给水头稳定等特点。通过详细地质勘探、水文地质条件分析及准确地质超前预报,掌握了涌水的特点和性质,提出了采用迂回导坑绕避结合泄水洞排水的处理方案,顺利通过了隧道涌水段。     

田德铁路小龙煤矿采空区的地质选线

田德铁路位于桂西南右江盆地及岩溶峰林洼地区，其中线路在CIK6＋200-CIK7＋000之间横穿小龙煤矿中部，由于采空区的不断下沉和地表变形，使过境公路及周围建筑物产生了较为严重的病害，线路在小龙村地段存在横穿煤矿方案和绕行方案的比选问题。通过对小龙煤矿采空区地质状况、地表沉降及稳定性的分析与评价，推荐绕行方案（CK方案）为贯通方案。     

Development of advanced driver assistance systems with vehicle hardware-in-the-loop simulations

This paper presents a new method for the design and validation of advanced driver assistance systems (ADASs). With vehicle hardware-in-the-loop (VEHIL) simulations, the development process, and more specifically the validation phase, of intelligent vehicles is carried out safer, cheaper, and is more manageable. In the VEHIL laboratory, a full-scale ADAS-equipped vehicle is set up in a hardware-in-the-loop simulation environment, where a chassis dynamometer is used to emulate the road interaction and robot vehicles to represent other traffic. In this controlled environment, the performance and dependability of an ADAS is tested to great accuracy and reliability. The working principle and the added value of VEHIL are demonstrated with test results of an adaptive cruise control and a forward collision warning system. On the basis of the ‘V’ diagram, the position of VEHIL in the development process of ADASs is illustrated.