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Chinese Control and Decision Conference, CCDC

作者： Guangrong Chen Bowen Hou Sheng Guo Junzheng Wang Robotics Research Center Beijing Jiaotong University Beijing P.R. China Beijing Engineering and Technology Research Center of Rail Transit Line Safety and Disaster Prevention Beijing P.R. China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing P.R. China

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

This paper aims to establish the simplest human walking model and provide a guide for controlling biped robots. Firstly, a human motion capture system was utilized to sample the motion data of human walking and a representative subject was selected. Secondly, one of the simplest human walking model was set up. The mechanical property analysis of human walking was done based on the established walking model via fitting. Thirdly, the feasibility and effectiveness of proposed walking model were validated by numerical simulations. Finally, the intrinsical relationships among human walking, biped walking model and control were discussed to provide a guide and insight for controlling biped robots.

关键词： Legged locomotion Numerical models Force Analytical models Numerical simulation

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Experimental Study on the Boundary of Karst Spring Basin: Take Ji'nan Spring Basin as an Example

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IOP Conference Series: Earth and Environmental Science 2021年第2期804卷

作者： Manqi Zhang Longcang Shu Xiaofeng Du Gang Han Yuan Chen College of Hydrology and Water Resources Hohai University Nanjing China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai University Nanjing China Jinan Rail Transit Group Co. Ltd Jinan China

The accurate determination of spring area boundary position and boundary property is an important link to establish a correct hydrogeological conceptual model, and is the fundamental guarantee of the accuracy of groundwater resource calculation results in the spring area. In view of the two perspectives of the east-west boundary of Jinan spring basin, the sand tank model of the fault-watershed region was built based on the characteristics of karst aquifers. The experimental scenarios were dominated by changing the precipitation intensity and duration time. The experiment results under different scenarios were analyzed and the characters of the boundary were preliminarily investigated. The results show that about 30% ∼ 40% of the atmospheric precipitation is converted into surface runoff, and 50% ∼ 60% of that is converted into fissure karst water. The water balance can be correctly calculated only by accurately identifying the water flow direction and amount of sources and sinks of the region.

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Impact of Land and Soil Types Change on Precipitation Infiltration Recharge in Baiquan Spring Basin

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IOP Conference Series: Earth and Environmental Science 2021年第2期804卷

作者： Xiaobo Wang Longcang Shu Xin Wang Yanan Dong Yao Kouassi Bienvenue Mikael Onan Hanxi Ni College of Hydrology and Water Resources Hohai University Nanjing China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai University Nanjing China Jinan Rail Transit Group Co. Ltd Jinan China

To study the impact of land types change on precipitation infiltration recharge in Baiquan spring basin of Jinan City, the remote sensing monitoring data of land use in 1980, 1990, 2000 and 2018 were selected to analyze the change trend of land types. Based on FEFLOW software, the groundwater flow numerical model of the study area is constructed to analyze the variation of precipitation infiltration recharge in different periods. The results show that: the urban land area expanded rapidly from 1980 to 2018, mainly occupied arable land and woodland, and the urbanization rate in 2018 was 17.18%. In 2018, the precipitation infiltration recharge is 15497.92 × 104 m3/a, 17.20% less than that in 1980. The research results can provide theoretical support and decision-making basis for the urban planning and the sustainability and protection of spring basin.

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Cellular automaton modeling of pedestrian movement behavior on an escalator

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Chinese Physics B 2018年第12期27卷 328-333页

作者： Fu-Rong Yue Juan Chen Jian Ma Wei-Guo Song Siu-Ming Lo School of Transportation and Logistics National Engineering Laboratory of Integrated Transportation Big Data Application TechnologySouthwest Jiaotong University Faculty of Geosciences and Environmental Engineering Southwest Jiaotong University Beijing Engineering and Technology Research Center of Rail Transit Line Safety and Disaster Prevention State Key Laboratory of Fire Science University of Science and Technology of China Department of Architectural and Civil Engineering City University of Hong Kong

As a convenient passenger transit facility between floors with different heights, escalators have been extensively used in shopping malls, metro stations, airport terminals, etc. Compared with other vertical transit facilities including stairs and elevators, escalators usually have large transit capacity. It is expected to reduce pedestrian traveling time and thus improve the quality of pedestrian’s experiences especially in jamming conditions. However, it is noticed that pedestrians may present different movement patterns, e.g., queuing on each step of the escalator, walking on the left-side and meanwhile standing on the right-side of the escalator. These different patterns affect the actual escalator traffic volume and finally the passenger spatiotemporal distribution in different built environments. Thus, in the present study, a microscopic cellular automaton(CA) simulation model considering pedestrian movement behavior on escalators is built. Simulations are performed considering different pedestrian movement speeds, queuing modes, and segregation on escalators with different escalator *** actual escalator capacities under different pedestrian movement patterns are investigated. It is found that walking on escalators will not always benefit escalator transit volume improvement, especially in jamming conditions.

关键词： cellular automaton pedestrian movement escalator capacity

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Optimization of railway alignments in complex mountainous regions 48

Optimization of railway alignments in complex mountainous re...

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48th International Conference on Computers and Industrial engineering, CIE 2018

作者： Song, Taoran Pu, Hao Li, Wei Zhang, Hong Wang, Jie Hu, Jianping Peng, Xianbao School of Civil Engineering Central South University Changsha China National Engineering Laboratory for High Speed Railway Construction Changsha China State Key Laboratory of Rail Transit Engineering Informatization Xi’an China China Railway Eryuan Engineering Group Co. Ltd Chengdu China China Railway Siyuan Survey and Design Group Co. Ltd Wuhan China

Optimizing railway alignments in mountainous regions is known as a very complex and time-consuming engineering work. In this paper, we propose a three dimensional distance transform algorithm to solve this problem and improve the quantity and quality of alignment solutions. In this method, we develop an erythrocyte-shaped neighboring mask to narrow local search space and improve search efficiency. Moreover, to avoid a long search time in such an enormous 3D search space, a stepwise-radiant scanning strategy is designed to accelerate the search process. Lastly, this novel approach is applied to a real-world case in a mountainous region with complex topographic. The results demonstrate that it can offer more promising solutions satisfying multiple constraints compared with the alternatives designed by experienced designers and generated by two dimensional distance transform algorithm in this realm. © 2018, Curran Associates Inc. All rights reserved.

关键词： Constrained optimization

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Multi-objective optimization of railway alignment with distance transform and particle swarm optimization 48

Multi-objective optimization of railway alignment with dista...

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48th International Conference on Computers and Industrial engineering, CIE 2018

作者： Zhang, Hong Pu, Hao Li, Wei Song, Taoran Wang, Jie Hu, Jianping Peng, Xianbao School of Civil Engineering Central South University Changsha China National Engineering Laboratory for High Speed Railway Construction Changsha China State Key Laboratory of Rail Transit Engineering Informatization Xi’an China China Railway Eryuan Engineering Group Co. Ltd Chengdu China China Railway Siyuan Survey and Design Group Co. Ltd Wuhan China

This paper presents a multi-objective optimization method for railway alignment design. An optimization model which considers the economic, environmental, and security effect of the alignment is established. A hybrid multi-objective searching algorithm based on distance transform (DT) and particle swarm optimization (PSO) is developed. The proposed method can preset an appropriate initial distribution of cutting planes for PSO and conduct the multi-objective optimization of railway alignment in a continuous space. The effectiveness of the proposed method is verified through a real-world case study. The results show that the method can effectively examine tradeoffs among various objectives and provide the designers with a set of Pareto-optimal solutions for chosen. © 2018, Curran Associates Inc. All rights reserved.

关键词： Multiobjective optimization

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Real-time Obstacle Detection Over rails Using Deep Convolutional Neural Network

Real-time Obstacle Detection Over Rails Using Deep Convoluti...

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International Conference on Intelligent Transportation

作者： Yuchuan Xu Chunhai Gao Lei Yuan Simon Tang Guodong Wei School of Electronic and Information Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Hong Kong Mass Transit Railway HK China

ISBN: (纸本)9781538670255

In vision-based environment perceptive system of urban rail transit, cameras installed in the front of the train can assist people to identify obstacles on rails. Varying environment makes small targets like pedestrians and bags hard to identify, thus the real-time and accuracy performance of the detection need to be improved. Inspired by the achievements of Single Shot Multibox Detection (SSD) successfully applied on images recognition in recent years, we presented an obstacle detection algorithm which consists of two steps: main network and feature fusion. In the first part, the input image is converted into multi-scale feature maps based on the Residual Neural Network. Next, a series of convolution layers are added to extract features, and the network outputs a confidence score and bounding boxes for possible obstacles. Experiments showed that the proposed method can detect obstacles in various environment. Compared with traditional object detection algorithms and other deep learning algorithms, it runs at a faster detection speed (26 frames per second, FPS) and higher detection accuracy (91.61% mean average precision, mAP) on our self-made dataset.

关键词： Feature extraction Convolution Training Real-time systems Neural networks Cameras rails

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Strain-rate and temperature dependency for preconsolidation pressure of soft clay

Strain-rate and temperature dependency for preconsolidation ...

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China-Europe Conference on Geotechnical engineering, 2016

作者： Li, Ting Zhu, Qi-Yin Kuang, Lian-Fei Gang, Li State Key Laboratory for Geomechanics and Deep Underground Engineering China University of Mining and Technology Xuzhou221116 China Jinan Rail Transit Group Co. Ltd. Jinan250101 China

ISBN: (纸本)9783319971117

Both of strain-rate and temperature have significant effects on the one-dimensional (1D) compression behavior of soils. This paper focuses on the time and temperature dependent behavior of the preconsolidation pressure, which is investigated in double logarithm plane. Based on the linear correlation, a strain-rate related parameter and a temperature related parameter are proposed to describe the rate-dependency and temperature dependency, respectively. Finally, a constitutive equation is introduced that expressesing the evolution of the preconsolidation pressure with respect to strain rate and temperature. The evolution of the preconsolidation pressure is the basis of any general elasto-thermo-plastic framework to allow the coupling of the thermoplastic deformation with the modification of the state limit. © 2018, Springer Nature Switzerland AG.

关键词： Strain rate

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Modeling of Energy Consumption Influencing Factors of Urban rail transit Station based on System Dynamics

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IOP Conference Series: Earth and Environmental Science 2020年第1期587卷

作者： Chenchen Zhang Yanhui Wang Xuemei Xiao Zhiwei Luo School of mechanical and automotive engineering Xiamen University of Technology Xiamen China State key laboratory of rail transit control and safety Beijing Jiaotong University Beijing China

The energy consumption of urban rail transit station is an important part of the total energy consumption. In this paper, we focus on the energy consumption of urban rail transit stations. After analyzing the influencing factors and their relationship of station energy consumption from the aspects of electromechanical equipment and operation level, we establish the causal loop diagram of the influencing factors of station energy consumption based on system dynamics, and construct the system dynamics model of station energy consumption. Through simulation calculation, the effects of various influencing factors on the total energy consumption of the station are obtained. Moreover the key factors affecting station energy consumption are found. At last, the concrete measures to improve the energy consumption and energy saving efficiency of the station are presented, which provides theoretical support for the optimization of energy saving of the urban rail transit system.

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Numerical modeling of rate-dependence behavior of saturated frozen soil

Numerical modeling of rate-dependence behavior of saturated ...

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China-Europe Conference on Geotechnical engineering, 2016

作者： Zhu, Qiyin Shang, Xiangyu Kung, Lianfei Gang, Li State Key Laboratory for Geomechanics and Deep Underground Engineering China University of Mining and Technology Xuzhou221116 China Jinan Rail Transit Group Co. Ltd. Jinan250101 China

ISBN: (纸本)9783319971148

The saturated frozen soil is composed of solid grains, ice and unfrozen water. The mechanical behavior of this engineering material is strongly associated with the amount of ice. Meanwhile, the amount of ice depends on the temperate and pressure and its existence is the main reason that induced the huge difference between the frozen and unfrozen soil. Furthermore, considering that ice is the highly rate-dependent material, the rate-dependency behavior of the frozen soil can be expected. A rate-dependent constitutive model based on the critical state theory is proposed for describing the rate-dependency of frozen soil. Being a variable parameter, the ice content is directly related to the temperature with can be correlated by the unfrozen water content curve. The tension strength and the pseudo-preconsolidation pressure can be expressed by the ice content. Meanwhile, the compression and recompression coefficient are related to the ice content and the values at the unfrozen condition. The rate-dependent behavior is considering by the over stress method. When the temperature is higher than 0°, the ice content will be null. Then, the model will reduce to the conventional elastic-viscoplastic model. The predictive ability of the model is validated by simulating the 3D undrained triaxial compression test. © Springer Nature Switzerland AG 2018.

关键词： Constitutive models

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