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Xia B.,Chongqing University | Liu X.L.,The Logistic Academy | Kong F.Y.,Chongqing Transport Planning Institute
Applied Mechanics and Materials | Year: 2013

Human's daily action is generally contacted by space boundary naturally or unconsciously. Moreover, the existence of boundary influents human's behavior and experience at any moment. Good space boundary will create places full of vitality and have an positive effect on activities in space. Otherwise, space boundary could also exert a negative influence on human's activity. This thesis, on the modern cognitive theory, expounds problems of boundary effect of exterior space of architecture in the perspective of architectural psychology. © (2013) Trans Tech Publications, Switzerland. Source


Xia B.,PLA Logistical Engineering University | Kong F.Y.,Chongqing Transport Planning Institute | Xie S.Y.,PLA Logistical Engineering University
Applied Mechanics and Materials | Year: 2013

This study analyses and compares several forecast methods of urban rail transit passenger flow, and indicates the necessity of forecasting short-term passenger flow. Support vector regression is a promising method for the forecast of passenger flow because it uses a risk function consisting of the empirical error and a regularized term which is based on the structural risk minimization principle. In this paper, the prediction model of urban rail transit passenger flow is constructed. Through the comparison with BP neural networks forecast methods, the experimental results show that applying this method in URT passenger flow forecasting is feasible and it provides a promising alternative to passenger flow prediction. © (2013) Trans Tech Publications, Switzerland. Source


Zhao J.-Y.,Changan University | Zhao J.-Y.,University of California at Davis | Mao J.-M.,Chongqing Transport Planning Institute | Shi Y.-N.,Changan University
Journal of Beijing Institute of Technology (English Edition) | Year: 2010

A prediction model of China's highway tunnel traffic accidents is established, on the basis of the characteristics of BP neural network, such as auto-study, auto-organization and auto-ability. Using the grey relational theory, major influencing factor index of the highway tunnel traffic accidents are chosen, and key technologies of the construction of BP neural network predictive are also discussed. Then, the model is trained and tested using the statistics data of China's highway tunnel traffic accident from 1995 to 2008. The results show that the precision of this prediction model is high, so that it could be applied to forecasting highway tunnel traffic accidents. Source


Xia B.,Chongqing University | Zhang C.,Chongqing Transport Planning Institute | Kong F.Y.,Chongqing University
Advanced Materials Research | Year: 2013

Traditional traffic planning theory cannot satisfy the developing requirements of high efficiency, justice, safety, environmental-friendly and low consumption any more in a future city. The successful experience from domestic and international urban transmit development indicates that the fundamental solution to solving urban traffic problem is developing the Green Traffic with sustainable features. As the only inland national-level opening new area, Liangjiang New Area undertakes a new historic mission. Based on many advanced experience of developing the Green Traffic in some domestic and international cities, this article will explain the Green Traffic Theory in depth through the integration of urban traffic and land utilization, the greening of urban integration traffic system, the greening of traffic environment and the greening of urban traffic management. And also, it will discuss the solutions of developing the Green Traffic Planning and provide some assumptions for the Green Traffic Panning in Liangjing New Area. © (2013) Trans Tech Publications, Switzerland. Source


Song G.,Beijing Jiaotong University | Zhou X.,Chongqing Transport Planning Institute | Yu L.,Beijing Jiaotong University | Yu L.,Texas Southern University
Science of the Total Environment | Year: 2015

The intersection is one of the biggest emission points for buses and also the high exposure site for people. Several traffic performance indexes have been developed and widely used for intersection evaluations. However, few studies have focused on the relationship between these indexes and emissions at intersections. This paper intends to propose a model that relates emissions to the two commonly used measures of effectiveness (i.e. delay time and number of stops) by using bus activity data and emission data at intersections. First, with a large number of field instantaneous emission data and corresponding activity data collected by the Portable Emission Measurement System (PEMS), emission rates are derived for different vehicle specific power (VSP) bins. Then, 2002 sets of trajectory data, an equivalent of about 140,000 sets of second-by-second activity data, are obtained from Global Position Systems (GPSs)-equipped diesel buses in Beijing. The delay and the emission factors of each trajectory are estimated. Then, by using baseline emission factors for two types of intersections, e.g. the Arterial @ Arterial Intersection and the Arterial @ Collector, delay correction factors are calculated for the two types of intersections at different congestion levels. Finally, delay correction models are established for adjusting emission factors for each type of intersections and different numbers of stops. A comparative analysis between estimated and field emission factors demonstrates that the delay correction model is reliable. © 2015 Elsevier B.V. Source

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