Long-range correlation analysis of urban traffic data

<正>This paper investigates urban traffic data by analysing the long-range correlation with detrended fluctuation analysis.Through a large number of real data collected by the travel time detection system in Beijing,the variation of flow in different time periods and intersections is studied.According to the long-range correlation in different time scales, it mainly discusses the effect of intersection location in road net,people activity customs and special traffic controls on urban traffic flow.As demonstrated by the obtained results,the urban traffic flow represents three-phase characters similar to highway traffic.Moreover,compared by the two groups of data obtained before and after the special traffic restrictions(vehicles with special numbered plates only run in a special workday) enforcement,it indicates that the rules not only reduce the flow but also avoid irregular fluctuation.     

Multi-fractal analysis of highway traffic data

The purpose of the present study is to investigate the presence of multi-fractal behaviours in the traffic time series not only by statistical approaches but also by geometrical approaches. The pointwise H\"{o} lder exponent of a function is calculated by developing an algorithm for the numerical evaluation of H\"{o} lder exponent of time series. The traffic time series observed on the Beijing Yuquanying highway are analysed. The results from all these methods indicate that the traffic data exhibit the multi-fractal behaviour.     

Evaluation and analysis of traffic noise from the main urban roads in Beijing

Traffic noise surveying and analysis was performed along three main roads in the Beijing urban area—the 2nd and 3rd ring roads circling the central downtown area and Chang-An Avenue, a major east—west corridor road through the heart of the city. The results indicate that these main roads are overloaded by traffic flow during daytime and noise levels due to road traffic along these roads are above relevant environmental standards by 5 dBA. The spatial variance of traffic noise was also analyzed, with the results indicating that the spatial differences result primarily from the unbalanced development of Beijing's urban districts.     

生态水体景观视觉影响下道路交通声评价的实验研究

采用里克特5级量表(1:非常不舒适;5:非常舒适)实验研究了不同声级的道路交通声评价在生态水体景观视觉影响下的规律。分析发现:与单听觉测试条件相比,生态水体景观将道路交通声级与声评价的相关系数由-0.91降低至-0.81~-0.57,其中30 dBA的道路交通声评价值下降0.13~0.68,而70 dBA的道路交通声评价值升高0.10~0.22。在一定声级范围内景观要素对道路交通声评价的影响不同:人工要素比自然要素影响下的道路交通声评价值高0.33/10 dBA;自然水体远景比近景影响下的道路交通声评价值高0.33/10 dBA;人的活动要素比动物活动要素影响下的道路交通声评价值高0.28/10 dBA,     

生态水体景观视觉影响下道路交通声评价的实验研究

采用里克特5级量表(1:非常不舒适;5:非常舒适)实验研究了不同声级的道路交通声评价在生态水体景观视觉影响下的规律。分析发现:与单听觉测试条件相比,生态水体景观将道路交通声级与声评价的相关系数由-0.91降低至-0.81~-0.57,其中30 dBA的道路交通声评价值下降0.13~0.68,而70 dBA的道路交通声评价值升高0.10~0.22。在一定声级范围内景观要素对道路交通声评价的影响不同:人工要素比自然要素影响下的道路交通声评价值高0.33/10 dBA;自然水体远景比近景影响下的道路交通声评价值高0.33/10 dBA;人的活动要素比动物活动要素影响下的道路交通声评价值高0.28/10 dBA,     

Spectral data compression using weighted principal component analysis with consideration of human visual system and light sources

This paper proposed two weight functions based on principal component analysis (PCA) to reserve more colorimetric information in spectral data compression process. One weight function consisted of the CIE XYZ color-matching functions representing the characteristic of the human visual system, while another was made up of the CIE XYZ color-matching functions of human visual system and relative spectral power distribution of the CIE standard illuminant D65. The improvement obtained from the proposed two methods were tested to compress and reconstruct the reflectance spectra of 1600 glossy Munsell color chips and 1950 Natural Color System color chips as well as six multispectral images. The performance was evaluated by the mean values of color difference under the CIE 1931 standard colorimetric observer and the CIE standard illuminant D65 and A. The mean values of root mean square errors between the original and reconstructed spectra were also calculated. The experimental results show that the proposed two methods significantly outperform the standard PCA and another two weighted PCA in the aspects of colorimetric reconstruction accuracy with very slight degradation in spectral reconstruction accuracy. In addition, weight functions with the CIE standard illuminant D65 can improve the colorimetric reconstruction accuracy compared to weight functions without the CIE standard illuminant D65.     

A method for comparing group fMRI data using independent component analysis: application to visual, motor and visuomotor tasks

Independent component analysis (ICA) is an approach for decomposing fMRI data into spatially independent maps and time courses. We have recently proposed a method for ICA of multisubject data; in the current paper, an extension is proposed for allowing ICA group comparisons. This method is applied to data from experiments designed to stimulate visual cortex, motor cortex or both visual and motor cortices. Several intergroup and intragroup metrics are proposed for assessing the utility of the components for comparisons of group ICA data. The proposed method may prove to be useful in answering questions requiring multigroup comparisons when a flexible modeling approach is desired.     

Synchronization and control of spatiotemporal chaos using time-series data from local regions

In this paper we show that the analysis of the dynamics in localized regions, i.e., sub-systems can be used to characterize the chaotic dynamics and the synchronization ability of the spatiotemporal systems. Using noisy scalar time-series data for driving along with simultaneous self-adaptation of the control parameter representative control goals like suppressing spatiotemporal chaos and synchronization of spatiotemporally chaotic dynamics have been discussed. (c) 1998 American Institute of Physics.     

Empirical optimization of ASL data analysis using an ASL data processing toolbox: ASLtbx

Arterial spin labeling (ASL) perfusion fMRI data differ in important respects from the more familiar blood oxygen level-dependent (BOLD) fMRI data and require specific processing strategies. In this paper, we examined several factors that may influence ASL data analysis, including data storage bit resolution, motion correction, preprocessing for cerebral blood flow (CBF) calculations and nuisance covariate modeling. Continuous ASL data were collected at 3 T from 10 subjects while they performed a simple sensorimotor task with an epoch length of 48 s. These data were then analyzed using systematic variations of the factors listed above to identify the approach that yielded optimal signal detection for task activation. Improvements in statistical power were found for use of at least 10 bits for data storage at 3 T. No significant difference was found in motor cortex regarding using simple subtraction or sinc subtraction, but the former presented minor but significantly (P<.024) larger peak t value in visual cortex. While artifactual head motion patterns were observed in synthetic data and background-suppressed ASL data when label/control images were realigned to a common target, independent realignment of label and control images did not yield significant improvements in activation in the sensorimotor data. It was also found that CBF calculations should be performed prior to spatial normalization and that modeling of global fluctuations yielded significantly increased peak t value in motor cortex. The implementation of all ASL data processing approaches is easily accomplished within an open-source toolbox, ASLtbx, and is advocated for most perfusion fMRI data sets.     

Statistical features of traffic flow on urban freeways

Urban freeways play an important role in urban traffic networks. Compared with highway traffic, urban freeway traffic has different characteristics, such as denser on- and off-ramps, more complex road conditions, and lower velocity limits. Until now, however, there has been no comprehensive analysis of urban traffic flow. In this paper, through an analysis of the density dependence of velocity distribution, we investigate the fundamental velocity-density relationships of urban freeways, compare them with those of highway traffic, and explain them using existing traffic flow theories.     

Property prices in urban areas affected by road traffic noise

This paper reports a revealed preference study into the different effects of road traffic noise on property values in residential areas with similarly high road traffic sound levels but with what appear to be important differences in the market for different types of residential property in each area. The results show significant differences in the revealed effects of noise on property prices between the three areas with in one case an increasing (and possibly misleading) relationship between higher monetary values and higher sound levels. A number of possible explanations for the findings are discussed in the paper.     

The contribution of heavy vehicles to urban traffic noise

The dominating influence of road traffic on the noise climate of the world's cities is now established and attempts to reduce the problem follow two main lines: The first involves ameliorating the effects of traffic stream noise; the second an attack on the noise levels of individual vehicles. The great expense involved in developing and building quieter vehicles justifies expending considerable effort in establishing the relative noise contribution of the vehicle types found in typical urban traffic mixtures. This paper describes the development of a field method for examining the effects of heavy vehicles such as trucks and buses on the noise profile of the traffic stream. The essential feature of the method involves synchronisation of a recorded voice commentary with the traffic noise. The graphical record of this noise can then be annotated to show what type of vehicles cause the peaks in the overall noise profile.     

A game theory model of urban public traffic networks

We have studied urban public traffic networks from the viewpoint of complex networks and game theory. Firstly, we have empirically investigated an urban public traffic network in Beijing in 2003, and obtained its statistical properties. Then a simplified game theory model is proposed for simulating the evolution of the traffic network. The basic idea is that three network manipulators, passengers, an urban public traffic company, and a government traffic management agency, play games in a network evolution process. Each manipulator tries to build the traffic lines to magnify its “benefit”. Simulation results show a good qualitative agreement with the empirical results.     

Optical methods for ecological mapping of urban areas

The results of the study of spectral characteristics of tree crops of Samara city as a method for measuring air pollutant concentrations. Even-age plantings of European white birch at ten points of Samara near main motorways were chosen as objects of study. It was shown that the ratio K of the light backscattering intensities at wavelengths of 750 and 550 nm is sensitive to pollutants and insensitive to measurement conditions. The relation between the coefficient K and the leaf chlorophyll concentration and their dependence on the total concentration of anthropogenic substances characteristic of internal-combustion engine exhausts (CO, NO₂, SO₂) were experimentally determined. The carbon oxide concentration has the strongest effect on the coefficient K. This makes it possible to apply the described method tested by the example of Samara city to ecological mapping of city territories.