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Train Trajectory Optimization with Dynamic Headway 36

Train Trajectory Optimization with Dynamic Headway

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第36届中国控制会议

作者： Bai-Gen Cai Zhao Sheng Wei ShangGuan Jing Sun State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Electronic and Information Engineering Beijing Jiaotong University

ISBN: (纸本)9781538629185

The trajectory optimization with dynamic headway for high-speed trains plays an important role in railway operations with the increasing passenger ***,punctuality,energy saving and comfort are some of the most crucial objectives that are considered in train tracking process in this ***,the multi-objective optimization model of tracking train trajectory planning is built under Moving Block System（MBS）.Additionally,particle swarm optimization algorithm based on simulated annealing algorithm（PSO-SA） is implemented in order to find the optimal results *** the fact that trains cannot track the offline trajectory accurately as a consequence of the uncertain factors such as the characteristics of electrical motor,routes parameters and the environmental change,the trajectory adjustment mechanism with dynamic headway based on continuous neural network optimization algorithm（CNNO） is designed to improve the performance of the following train’s ***,a simulation model is applied based on the real operational data from Chibi-Yueyang high speed railway line of China to demonstrate the effectiveness of our proposed approach.

关键词： Trajectory optimization Train operation Tracking process Dynamic headway

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Travel Distance Characteristics Analysis Using Call Detail Record Data 29

Travel Distance Characteristics Analysis Using Call Detail R...

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第29届中国控制与决策会议

作者： Xuzhao Wang Honghui Dong Yue Zhou Kai Liu Limin Jia Yong Qin State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Traffic and Transportation Beijing Jiaotong University Beijing Engineering Research Center of Urban Traffic Information Intelligent Sensing and Service Technologies Beijing Jiaotong University

ISBN: (纸本)9781509046584

With the development of growing number of China's mobile phone users and mobile Internet, intelligent transportation has become an effective way to solve the traffic problems. Many studies based on GPS data analysis are available. However, high costs lead to insufficient number of samples, the small number of studies based on call detail record(CDR) data analysis only apply a small range of short data sample. The study covers 27604 base stations in Beijing's Sixth Ring Road, collecting millions of data for research. By analyzing the location update of mobile communication network and mechanism of data and targeting, 75 zones are defined based on land use categories. The case study demonstrates CDR data for traffic characteristics analysis were practical. Travel distance consistent with the law of power law of traffic zone. For different traffic zones(working or residential) travel mode choice, and improve the traffic situation provides a theoretical basis.

关键词： Call Detail Record Data Mobile Phone Base Station traffic Zone Travel Distance

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Neural Adaptive Dynamic Surface control for Mismatched Uncertain Nonlinear Systems with Nonlinear Feedback Errors 36

Neural Adaptive Dynamic Surface Control for Mismatched Uncer...

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第36届中国控制会议

作者： Shigen Gao Hairong Dong Bin Ning Tao Tang Yidong Li Kimon P.Valavanis State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Computer and Information Technology Beijing Jiaotong University Department of Electrical and Computer Engineering School of Engineering and Computer ScienceUniversity of Denver

ISBN: (纸本)9781538629185

This paper addresses a new nonlinear gain feedback based neural adaptive dynamic surface control（DSC） method for a class of strict feedback nonlinear systems in the presence of uncertainties and external disturbances. Besides circumventing the problem of complexity explosion, the nonlinear gain feedback technique brings a self-regulation ability into the pioneering DSC method to improve the dynamic performance of the resulted closed-loop system. Neural networks are used to online approximating the uncertainties, the over-fitting problem occurs with small probability since the signals obtained by NNs are also handled using nonlinear gain function. It is proved rigorously by Lyapunov stability theorem that all the closed-loop signals are kept semi-globally uniformly ultimately bounded, the output tracking error and the optimal neural weight vector estimation error can all be adjusted to arbitrarily small around zero characterized by design parameters in an explicit way. Furthermore,the method proposed can be extended to the control of multiple-input-multiple-output system trivially. Comparative simulation results are presented to demonstrate the effectiveness of the proposed method.

关键词： Dynamic Surface control Neural Adaptive control Nonlinear Gain Feedback

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Influence of vehicle cluster driving behavior on traffic flow efficiency

Influence of vehicle cluster driving behavior on traffic flo...

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2017 Chinese automation Congress, CAC 2017

作者： Chen, Junjie Cai, Baigen Shangguan, Wei Wang, Jian School of Electronics and Information Engineering Beijing Jiaotong University Beijing China School of Electronic and Information Engineering State Key Laboratory of Rail Traffic Control and Safety Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation Beijing China

ISBN: (纸本)9781538635247

To study on the influence of Vehicle Cluster Driving (VCD) behavior on traffic Flow Efficiency on freeway, a new two-lane cellular automaton model which has been improved the accelerate, decelerate and change lane regulation of NaSch cellular automaton is proposed. By comparing the influence of vehicle cluster driving behavior with Vehicle Free Driving (VFD) behavior on average vehicle speed and Lane Changing (LC) frequency, the result shows us that the average vehicle speed of VCD behavior is higher than VFD behavior with the increasing of traffic flow, at the same time the change rate of average vehicle speed of VCD behavior is less than VFD behavior. The lane changing frequency presents a single peak distribution which is increasing first and then decreasing with the increasing of traffic flow both in VCD behavior and VFD behavior. The simulation result shows that the lane changing frequency of VCD behavior reached the peak value when the traffic flow near 1000veh/h and the lane changing frequency of VFD behavior reached the peak value when the traffic flow near 2200veh/h. © 2017 IEEE.

关键词： Vehicles

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Simulation and testing method for evaluating the effects of position error, communication delay and penetration rate to connected vehicles safety

Simulation and testing method for evaluating the effects of ...

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2017 Chinese automation Congress, CAC 2017

作者： Chai, Linguo Cai, Baigen Shangguan, Wei Wang, Jian School of Electronic and Information Engineering Beijing Jiaotong University Beijing China School of Electronic and Information Engineering State Key Laboratory of Rail Traffic Control and Safety Beijing Engineering Research Center GNSS Technology for Rail Transportation Beijing Jiaotong University Beijing China

ISBN: (纸本)9781538635247

Uncertainties of connected vehicle (CV) system, such as vehicle position error, communication delay and penetration rate would significantly influence the systematic performance. A simulation and testing method for evaluating the effects of uncertainties to connected vehicle safety is proposed in this paper. To construct the basic simulation environment, a five-subsystem simulation structure is designed. And Gaussian distribution based vehicle position error model, uniform and Rayleigh distribution based communication delay model and penetration rate model are introduced and implemented to enhance the reality of the simulation. Then a simulation scenario, which is composed of vehicle overspeed as traffic hazard, nonlinear segmented vehicle braking (NSVK) model as pre-warning method and uncertainties models as system disturbances, is set up to evaluate the effects of uncertainties to connected vehicle safety. A High Level Architecture (HLA) based simulation platform is established to verify the proposed method. The results show that, with position error in the scenario, successful warning rate is 88%. And the successful warning rate increases when the deceleration of pre-warning approach decreases. In in the scenario with communication delay, successful warning rate reaches 100%. And successful warning rate increases with Origin Destination (OD) value and penetration rate, and penetration rate influences more. © 2017 IEEE.

关键词： Uncertainty analysis

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Text mining in fault analysis for on-board equipment of high-speed train control system

Text mining in fault analysis for on-board equipment of high...

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2017 Chinese automation Congress, CAC 2017

作者： Bin, Chen Baigen, Cai Wei, Shangguan School of Electronics and Information Engineering Beijing Jiaotong University Beijing China School of Electronics and Information Engineering State Key Laboratory of Rail Traffic Control and Safety Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation Beijing Jiaotong University Beijing China

ISBN: (纸本)9781538635247

The fault diagnosis and analysis of high-speed train is of great significance for train's safe and highly efficient operation. The complexity and quantity of on-train information which is closely related with fault diagnosis and analysis is increasing rapidly as the development of high-speed railway. Onboard system fault recording files contains lots of important fault information described in short-text which is recorded by maintainers in nature language(NL). This paper makes an analysis on operation and fault information of on-board system recorded in NL based on text mining. The fault text dictionary is constructed for word segmentation, and fault text chain is defined as well as the construction method in order to process the fault recording files. At last, the method is applied to segment the on-board system fault recording files and construct fault text chains, therefore the faults of on-board equipment are analyzed and we obtained the faults' distribution. © 2017 IEEE.

关键词： Failure analysis

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A review on intelligent fault diagnosis method for train control system

A review on intelligent fault diagnosis method for train con...

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第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年

作者： Yu Zang Wei Shangguan Huashen Wang Juan Feng Baigen Cai School of Electronics and Information Engineering Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation Beijing Jiaotong University

Train control system is a typical safety-critical *** of its complex structure,it is hard to judge and control the fault by traditional *** recent years,with the rapid development of artificial intelligence technology,more and more scholars proposed intelligent fault diagnosis *** this paper,research status and development of intelligent fault diagnosis methods at domestic and abroad was introduced,then the advantages and disadvantages of each method were analyzed and the practical application of intelligent fault diagnosis methods in train control system was *** the basis above,the fault diagnosis methods which are suitable for the train control system was discussed and the feasibility of application is studied through the *** the future research direction of intelligent fault diagnosis for train control system is prospected.

关键词： Train control System Intelligent Fault Diagnosis Literature Review Development Trend

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Accuracy analysis of BeiDou receivers for lane detection applications

Accuracy analysis of BeiDou receivers for lane detection app...

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IEEE/ION Position, Location and Navigation Symposium, PLANS 2016

作者： Toro, Federico Grasso Diaz Fuentes, Damian Eduardo Lu, Debiao Tao, Weijie Becker, Uwe Cai, Baigen Institute for Quality Safety and Transportation Braunschweig Germany School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China Institute for Traffic Safety and Automation Engineering Technische Universität Braunschweig Germany State Key Laboratory of Rail Traffic Control and Safety Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation Beijing Jiaotong University China

ISBN: (纸本)9781509020423

The future of Intelligent Transportation Systems (ITS) relies on a properly constructed control Transportation System (CTS) based on a dynamically accurate localisation system. In urban scenarios applications for lane detection, as part of intelligent highways, Global Navigation Satellite Systems (GNSS) receivers provide tangential and perpendicular locations for localisation systems, by means of trueness and precision in the dynamic frame of the lane. Results show that the circular error probable (CEP) approach is not a realistic representation of the dynamic behaviour of the receivers, so the new Mahalanobis Ellipses Filter (MEF) approach was tested and proven to be a better dynamic accuracy representation for ground vehicles. Also, the MEF results from collected data in urban scenarios in Beijing's 3rd Ring Road present a significant representation of the potential applications for the several GNSS configuration tested, proving that a Multi-GNSS configuration can already properly work for lane detection applications. Conclusively, the results presented here show the MEF approach to be significantly better to test and validate lane detection applications. The separation into tangential and perpendicular deviations components allows a better technique to achieve the accuracy requirements description, for GNSS-based urban ground vehicle localisation system within a safety-relevant ITS. © 2016 IEEE.

关键词： Intelligent vehicle highway systems

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Composite PI-like Adaptive Dynamic Surface control for Interval Coordination of Multiple Trains

Composite PI-like Adaptive Dynamic Surface Control for Inter...

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IEEE International Conference on control and automation

作者： Shigen Gao Hairong Dong Bin Ning Yidong Li State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Computer and Information Technology Beijing Jiaotong University

ISBN: (纸本)9781509017393

Emerging communication-based train control (CBTC) technique is a critical foundation for automatic or semi-automatic train operation for guaranteed safety, line utilization, operation efficiency, and energy saving toward intelligent rail transportation systems. Multiple train cooperative control encounter great challenges from train control, communications, interval coordination, and uncertainties in operational environments. The paper introduces a composite PI-like control algorithm based on dynamic surface technique for multiple trains under moving signaling systems. A scenario of predecessor-follower is considered and corresponding control algorithm is proposed and its stability is established using Lyapunov theorem. The methodology utilizes local information through on-board sensors and T2T communications, but guarantees global deployment and performance of the multiple trains queueing. The control ability is analyzed and demonstrated to be effective via simulation studies.

关键词： safety Communication system signaling rail transportation Heuristic algorithms Resistance Aerodynamics control design

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Accuracy Evaluation Method of GNSS for Safe Vehicle Localization under Environmental Conditions

Accuracy Evaluation Method of GNSS for Safe Vehicle Localiza...

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第七届中国卫星导航学术年会

作者： Debiao Lu Baigen Cai Federico Grasso Toro Jian Wang Jiang Liu Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transport School of Electronic and Information EngineeringBeijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Institute for Traffic Safety and Automation Engineering Technische Universit?t Braunschweig

Safe vehicle localization is the key technology for the advanced driving assistance systems(ADAS). The safely assured vehicle locations generated by localization unit as part of the electrical / electronic(E/E) subsystems inside the vehicle needs to be validated and certified for fully autonomous driving cars in the future. The global navigation satellite systems(GNSS) is a good instance for the perception of the vehicle location, since it can provide all day along and almost everywhere vehicle localization functionality. But GNSS is easily to be affected by the environmental conditions along the vehicle driving route. The GNSS quality itself is assured by the GNSS service provider at the signal in space(SIS) part settled according to the GNSS standards and specifications. But for the groundbased applications, the GNSS performance itself is not assured, the environmental condition effect varies in different operation scenarios. The accuracy quality as the basement of the whole quality of service(Qo S) of GNSS, is the most required performance in many aspects. This paper describes the accuracy requirement of the vehicle safe localization concept at first, then the accuracy evaluation in different coordinate systems are evaluated, an appropriate coordinate to represent the dynamic movement of the vehicle is used, the error mode to describe the 2D accuracy for safe vehicle localization is proposed. Finally, an error mode as the base for accuracy evaluation method for urban operation scenarios with the considerationof bi-directional error mode is suggested for safe vehicle localization performance analysis.

关键词： GNSS vehicle localization accuracy evaluation safety

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