Chongqing Transport Planning Institute

Chongqing, China

Chongqing Transport Planning Institute

Chongqing, China

Time filter

Source Type

Zhao J.-Y.,Chang'an University | Zhao J.-Y.,University of California at Davis | Mao J.-M.,Chongqing Transport Planning Institute | Shi Y.-N.,Chang'an 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.


Song G.,Beijing Jiaotong University | Yu L.,Texas Southern University | Yu L.,Beijing Jiaotong University | Tu Z.,Chongqing Transport Planning Institute
Journal of Transportation Engineering | Year: 2011

The development of new fuel consumption and emission models creates the need to characterize traffic conditions by using vehicle-specific power (VSP) distribution. However, in existing transportation engineering, there has been a lack of knowledge of relationships between the VSP distribution and commonly used traffic parameters and a lack of models to develop the VSP distribution from traffic parameters. To examine how traffic conditions affect VSP distributions, this study uses large samples of floating car data collected from expressways in Beijing to associate VSP distributions with various average travel speeds. After a comprehensive analysis, regular patterns are found between the VSP distribution and the average travel speed. Specifically, when the average travel speed is more than the VSP distribution comes close to a normal distribution. The mean of the VSP distribution is the VSP value when cruising at the average travel speed, and the standard deviation could be expressed as a power function of the average travel speed. On the basis of these findings, a mathematical model for developing VSP distributions is then derived by using the average travel speed. Finally, an analysis between estimated and actual fuel consumption demonstrates that the VSP distributions developed by the proposed model are applicable for the estimation of fuel consumptions. This study indicates a possibility of developing VSP distributions mathematically for dynamic traffic conditions, which can be integrated practically with traffic models or data for the real-time estimation of fuel consumption and emissions. © 2012 American Society of Civil Engineers.


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.


PubMed | Texas Southern University, Beijing Jiaotong University and Chongqing Transport Planning Institute
Type: | Journal: The 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.


Li X.,Chongqing Transport Planning Institute | Wu X.,Chongqing Transport Planning Institute | Yu Q.,Chongqing Transport Planning Institute | Li H.,Chongqing Transport Planning Institute
Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) | Year: 2013

As the first step in 4-stage model, the trip generation plays an important role in accuracy of transport model. Currently, trip rate, cross-category analysis and regression analysis have been considered as the most popular methods in trip generation. Noticeably, all the above ways cannot sort out the relationship among the variables what will influence the result of trip generation. As a result, the paper has introduced the principle component analysis into trip generation. In detail, the coefficients among different variables in trip generation are going to be tested by principle component before the regression analysis is adopted in generation. In this way, the nonnegative parameter for variables and the relevance among variables will be guaranteed.


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.


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.


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.


Zheng X.,Chongqing Transport Planning Institute | Recker W.,University of California at Irvine
Transportation Research Part C: Emerging Technologies | Year: 2013

A real-time, on-line control algorithm is proposed that aims to maintain the adaptive functionality of actuated controllers while improving the performance of traffic-actuated signal control system. To be consistent with the operation logic of existing signal control devices, only those four basic control parameters that can be found in modern actuated controllers are considered: phase sequence, minimum green, unit extension and maximum green. Microscopic simulation is used to test and evaluate the proposed control algorithm comparing with free-mode actuated, actuated-coordinated and volume-density control in a calibrated signalized network. Simulation results indicate that the proposed algorithm has the potential to improve the performance of the network at different traffic demand levels. © 2013 Elsevier Ltd.

Loading Chongqing Transport Planning Institute collaborators
Loading Chongqing Transport Planning Institute collaborators