Explaining traffic patterns at on-ramp vicinity by a driver perception model in the framework of three-phase traffic theory

In traffic system, driving behaviors change with the surrounding traffic perceived by drivers, resulting in the complex spatio-temporal traffic patterns. Accordingly, in the majority of traffic models, vehicle accelerations are described by dynamic equations based on driving behavior, system dynamics and some underlying steady-state velocity-gap (bumper-to-bumper spacing) relation in order to guarantee the realistic human behavior. This paper proposes a deterministic car-following model based on a multi-branch fundamental diagram with each branch representing a particular category of driving style. Furthermore, an additional dynamic perception equation is introduced to reflect the driving style adaptation in response to the change in surrounding traffic situations. With simulation based on the proposed “driver perception model” (DP model), empirical findings of traffic breakdown and observed spatio-temporal patterns at on-ramp vicinity are reproduced. Furthermore, comparison results show the consistency between numerical simulation and the real traffic data of Beijing urban freeway.     

Using room acoustical parameters for evaluating the quality of urban squares for open-air rock concerts

Sound quality research of urban squares used for open-air (rock) concerts is very scarce. In contrast to the study of (classical) concert halls, little is known about useful design parameters. For the design of the amplification system, the sound engineer currently often takes into account the desired sound pressure level only.In this study, the ability of existing room acoustical parameters to characterize urban squares acoustically is investigated. An independent parameter set is identified for specific use on such squares. Besides the distribution of the sound pressure level over the square, different impulse response related parameters such as the clarity, center time, reverberation time and bass ratio were considered. In addition, binaural measures were included to measure qualities related to human spatial hearing.This study is based on a measurement campaign, performed at five squares in Belgium before and during life rock concerts. Special attention was paid to the signal processing methodology, given the significant amount of environmental noise often found at such squares during measurements. The variation of these parameters is investigated in relation to the square geometry, the amplification set-up and the presence of delay-lines. Parameters like C₈₀, T₃₀, IACC_E3/L3 and ΔL_eq,A/C were shown to be very useful when characterizing the sound field at urban squares.     

Predominant environmental noise classification over sound mixing based on source-specific dictionary

This paper presents a methodology to classify predominant urban acoustic sources in real mixed signals. This is based on a source-specific dictionary with atoms in the time–frequency domain using the Orthogonal Matching Pursuit (OMP) algorithm and identifying the class through a proposed selection criterion with a dynamic number of iterations involving a lower algorithm complexity. Several time–frequency atoms were evaluated considering retained energy and relative error to build a source-specific dictionary in the relevant classes. The source-specific dictionary has better results up to 7% in retained energy than to use an individual dictionary such as based on wavelet or Gabor functions, improving classification of predominant sources over sound mixing up to 9% compared to using standard dictionaries. Experimental results on classification are applied to mixture inter-class signals of two or more sources recorded by a real permanent monitoring system in an urban soundscape. The classification performance has successfully achieved identifying a predominant source in real inter-class mixtures of urban soundscapes.     

我国城市地质研究的历史演化与发展前景的认识

城市地质以调查研究和解决与城市建设及发展有关的各种资源、环境等地质问题为其基本任务。它随时代发展和国家需要侧重点有所不同。 2 1世纪是人类共同追求可持续发展的世纪 ,保护和合理利用资源环境已成为我国的一个重大战略问题。     

基于混沌神经网络理论的城市地面沉降量预测模型

通过分析城市地面沉降量时间序列的非线性动力学系统,认为该时间序列具有混沌特性。在此基础上,通过相空间重构的方法建立了用于城市地面沉降量预测的混沌神经网络模型;并利用此模型对高桥地面沉降量进行了预测,并和实际监测沉降量进行了比较,最大绝对预测误差为1. 7,预测的平均误差为0. 0833,研究结果表明,应用混沌神经网络模型进行城市沉降预测是可行、精确的。     

考虑植被影响的陆气耦合模式

以黄淮海平原大气边界层的观测数据为基础,发展了一个土壤－植被－大气多层模式,对大气和地表进行耦合模拟．模式对植被冠层作多层划分,以助于细致了解植被冠层沿高度分布的各物理量,为非均匀下垫面的参数化提供依据．运用观测结果对数值模拟结果进行验证,表明该模式较成功地模拟了陆气相互作用过程．同时,对模拟进行了敏感性数值试验,以了解植被在陆气相互作用中的影响大小     

徐州市城市生态系统与环境的相互作用

本文研究了徐州市城市生态系统与自然环境之间的相互作用。自然环境限制了城市生态系统的功能类型、布局及运营方式,城市生态系统则以取出、输入和综合作用三种方式改造环境,并诱发了一些城市病害,导致城市生态系统暂时局部的运营紊乱。     

城镇土地定级因素选择研究

本文通过对定级因素的相关性和土地等级空间结构的研究,得出已完成定级的城镇选择的定级因素存在普通的显著相关.进而确定商服中心萦华影响度和道路通达度为二个必选因素一般城镇选择3}4个定级因素评价土地级别即可满足定级目的的需要.这样可以减少土地定级工作量的50%以上,对推动土地定级估价研究工作具有十分重要的现实意义.     

广东沿海陆地地质环境质量定量评价研究

广东沿海陆地不仅是我国经济较为发达的地区 ,而且也是地震、水土流失、崩塌、滑坡、地裂缝、地面沉降、岩溶塌陷、软土地基形变等地质灾害较为频发的地区。基于对广东沿海陆地主要物理地质灾害形成条件与影响因素调查、统计与分析 ,将广东沿海陆地地质环境质量划分 :构造稳定性、斜坡稳定性和地基稳定性三个质量层面 ,进而构造了隶属三个层面的指标体系 ,该指标体系包括活动断裂、地震活动、地形起伏度、斜坡坡地、冲沟切割密度、水土流失程度、崩滑面密度、土体承载力和地裂缝面密度 9个指标。基于地质环境质量五值逻辑等级取值 :优等、良好、中等、较差和差等 ,对评价指标进行了相应地量化分级取值和标准化处理 ,在建立指标专家权重体系和线性隶属函数的基础上 ,构造了模糊数学综合评价模型。基于 Fortran程序对 190个剖分单元指标数据进行了模型运算 ,将广东沿海陆地地质环境划分为五个质量级共 17个地质环境质量单元。