检索结果-南通市图书馆

science china(Technological sciences) 2010年第12期53卷 3264-3274页

作者： XU Meng1 & GAO ZiYou2 1 MOE Key Laboratory for Urban transportation Complex systems Theory and Technology, beijing jiaotong university, beijing 100044, china 2 institute of systems science, school of traffic and transportation, beijing jiaotong university, beijing 100044, china MOE Key Laboratory for Urban transportation Complex systems Theory and Technology Beijing Jiaotong University institute of systems science School of Traffic and Transportation Beijing Jiaotong University

This paper is concerned with the algorithm of the supply chain network equilibrium model and its equivalent supernetwork based traffic network equilibrium model with elastic demands. Both models are further written as nonlinear complementarity problems. Semismooth least squares reformulations of the complementarity problems are presented and their convergence properties are investigated. Considering the drawbacks of Quasi-Newton method (using the Fischer-Burmeister function), a semi-smooth Levenberg-Marquardt-type method is proposed to solve the problems. Numerical examples show that the Levenberg-Marquardt-type method can solve the supply chain network equilibrium model and its equivalent supernetwork based traffic network equilibrium model significantly, and is more efficient than the Quasi Newton method and the modified projection method. Furthermore, the Levenberg-Marquardt-type method with the equivalent supernetwork based complementarity formulation can be implemented faster than with the supply chain network equilibrium complementarity formulation.

关键词： supply chain networks traffic network equilibrium supernetwork nonlinear complementarity problem Levenberg Marquardt-type method

Urban expressway traffic state forecasting based on multimode maximum entropy model

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science china(Technological sciences) 2010年第10期53卷 2808-2816页

作者： SUN XiaoLiang1,2, JIA LiMin1, DONG HongHui1, QIN Yong1 & GUO Min3 1State Key Laboratory of Rail traffic Control and Safety, beijing jiaotong university, beijing 100044, china 2school of traffic and transportation, beijing jiaotong university, beijing 100044, china 3beijing traffic Management Bureau, beijing 100044, china State Key Laboratory of Rail traffic Control and Safety Beijing Jiaotong University school of traffic and transportation Beijing Jiaotong University

The accurate and timely traffic state prediction has become increasingly important for the traffic participants,especially for the traffic managements. In this paper,the traffic state is described by Micro-LOS,and a direct prediction method is introduced. The development of the proposed method is based on Maximum Entropy (ME) models trained for multiple modes. In the Multimode Maximum Entropy (MME) framework,the different features like temporal and spatial features of traffic systems,regional traffic state are integrated simultaneously,and the different state behaviors based on 14 traffic modes defined by average speed according to the date-time division are also dealt with. The experiments based on the real data in beijing expressway prove that the MME models outperforms the already existing model in both effectiveness and robustness.

关键词： traffic state forecast maximum entropy model multimode

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交通拥堵发生时车道非同态性变化的仿真分析

系统仿真学报 2006年第5期18卷 1339-1342,1387页

作者：关伟北京交通大学交通运输学院系统工程与控制研究所北京100044

交通系统的状态转移是一个正负反馈交替发生作用的过程。首先提出了同态度量指标、时空差异度指标等新概念用于定性判断交通系统的状态,并在此基础上,建立了一组变参数线性方程用以描述交通系统状态转移的正负反馈交互迭代的过程。最后... 详细信息

交通系统的状态转移是一个正负反馈交替发生作用的过程。首先提出了同态度量指标、时空差异度指标等新概念用于定性判断交通系统的状态,并在此基础上,建立了一组变参数线性方程用以描述交通系统状态转移的正负反馈交互迭代的过程。最后以某城市环路一个路段发生交通拥堵的过程为实例,仿真分析了交通拥堵发生时车道非同态性变化的过程,仿真结果表明提出的模型能较好地反映车道非同态性变化的实际情况。

关键词：交通流模型交通拥堵仿真定性推理

EQUILIBRIUM ALGORITHMS WITH NONMONOTONE LINE SEARCH TECHNIQUE FOR SOLVING THE traffic ASSIGNMENT PROBLEMS

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Journal of systems science & Complexity 2005年第4期18卷 543-555页

作者： ZHAO Hui GAO Ziyou school of traffic and transportation Beijing Jiaotong University Beijing 100044 China.

This paper presents a unified bination algorithms （such as FrankWolfe problems. Global convergence results are framework of the nonmonotone convex comAlgorithm） for solving the traffic assignment established under mild conditions. The line search procedure used in our algorithm includes the nonmonotone Armijo rule, the non- monotone Goldstein rule and the nonmonotone Wolfe rule as special cases. So, the new algorithm can be viewed as a generalization of the regular convex combination algorithm.

关键词： traffic convex combination algorithm nonmonotone line search global convergence.

A Practical Qualitative+Quantitative Method─S-ANN

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systems science and systems Engineering 2002年第1期11卷 19-27页

作者： GUAN Wei, SHEN Jin-sheng, LI Peng-fei institute of systems Engineering, Northern jiaotong university, beijing 100044, china institute of systems Engineering Northern Jiaotong University Beijing 100044 China

In this paper, a practical qualitative+quantitative method named S-ANN is proposed as a forecasting tool, in which the artificial neural network (ANN) of AI is used to handle the quantitative knowledge and the SCENARIO method of systems engineering is used to handle the qualitative knowledge respectively. As a case study, S-ANN method is employed to forecast the ridership of beijing public transportation, the results show that S-ANN method possesses advantages of feasibility and easily to operate.

关键词： SCENARIO method artificial neural network complexity research

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免疫算法求解编组站阶段计划配流问题研究

铁道学报 2009年第4期31卷 1-6页

作者：申永生何世伟王保华穆美如北京交通大学交通运输学院北京100044 北京交通大学信息科学研究所北京100044

在编制编组站阶段计划时需解决的一个核心问题是确定出发列车的车流来源。本文针对该问题作了深入研究,以解编顺序为优化对象,在考虑解、编调机资源约束的情况下,以在正点出发列车数最大基础上考虑总停留车小时最小的解编顺序为目标建... 详细信息

在编制编组站阶段计划时需解决的一个核心问题是确定出发列车的车流来源。本文针对该问题作了深入研究,以解编顺序为优化对象,在考虑解、编调机资源约束的情况下,以在正点出发列车数最大基础上考虑总停留车小时最小的解编顺序为目标建立数学模型,并设计了免疫算法中自适应克隆选择算法对其求解,其中抗体评价所需的配流结果通过lingo编程实现。算例证明了算法的有效性,为编组站阶段计划配流智能化提供了较好的解决途径。

关键词：阶段计划解编顺序简单配流自适应克隆选择算法

STUDY ON FLAT MANAGEMENT APPLYING TO BUS STRUCTURE INNOVATION

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STUDY ON FLAT MANAGEMENT APPLYING TO BUS STRUCTURE INNOVATIO...

第十二届工业工程和工程管理国际会议

作者： ZHANG Shoujun YANG Hao school of traffic and transportation beijing jiaotong university beijing 100044

＜正＞As the market competition pricking up,the enterprise should establish effective management mode, implement flat management,reduce management cost,and which are important. The characteristic of flat management is to decrease administrative levels,increase administrator range,and the decision-maker implement "face to face" direct management to each function office and foundational department, so as to settle such abuse of rank management as levels superposition, many leaders, each does things in his own way, information dissever and so on,to expedite informational currency,to reduce administrant chains,consumedly to decease administrant cost. In order to co-operate management system reformation of Bus Group, Bus Company establishes detailed flat alteration scheme. That is to divide bus structure into holding bus mode,canceling bus mode and canceling dominative production management department of bus mode. Then the paper compares and analyzes the advantage and disadvantage of the three modes, and adopts weight average method and quantitative analysis to ensure that the optimized scheme is holding bus and canceling four dominative production management departments, and re-conform stations and lines to realize direct management to bus motorcade. The adjustment can cut current management structure and manager,shorten management chain,increase management efficiency,reduce management cost,and implement flat management to stations and lines.

关键词： Flat Management Organization Innovation administrative level administrative range

Railway Capacity Calculation Based on Auto-Drawing Train Working Diagram and Computer Simulation

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Railway Capacity Calculation Based on Auto-Drawing Train Wor...

2011高等职业教育电子信息类专业学术暨教学研讨会

作者： Jinjin TANG,Leishan ZHOU,Lu TONG school of traffic and transportation of beijing jiaotong university,beijing,china,100044

It reviews the main methods of the study of railway capacity in the *** in china,the defini- tion of railway capacity is different from the other countries,so the main methods of calculating railway capacity are not suit to Chinese *** introduce the coefficient of removal analysis method to calculate the capacity of railway with automatic block section,but its calculating result isn’t *** computer technology improves,the auto-drawing train working diagram(TWD)has become a *** proposes a new approach to calculate the railway capacity,and the calculating method is based on auto-drawing TWD and computer *** goal of this new method is to draw the maximum number of common freight train paths into the original timetable where passenger train paths and important freight train paths are exist and fixed.

关键词： railway capacity computer simulation train working diagram calculating method

Dual - staged Optimal ILC Approach for Freeway traffic Density Control

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Dual - staged Optimal ILC Approach for Freeway Traffic Densi...

2005全国博士生学术论坛（交通运输工程学科）

作者： Chi Ronghu, Hou Zhongsheng (school of traffic and transportation, beijing jiaotong university, beijing 100044 school of Electronics and Information Engineering, beijing jiaotong university, beijing 100044)

＜正＞ In this paper, a new dual - staged adaptive iterative learning control scheme is presented for a general class of repeatable nonlinear discrete - time systems. It just depends on the real - time input and output data of the controlled system in previous operations, and does not require an inverse dynamic model of the controlled system to design the learning controller. The convergence of theleaming scheme is guaranteed under some conditions. The proposed learning approach is applied successfully into a traffic flow control example. And the excellent performance of this learning approach is demonstrated by the computer simulation results.

关键词： iterative learning control dual-staged optimal traffic density control convergence analysis

Optimal Higher Order Learning Adaptive Control for a Class of SISO Nonlinear systems

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Optimal Higher Order Learning Adaptive Control for a Class o...

第二十四届中国控制会议

作者： Chi Ronghu~1, Hou Zhongsheng~2 (1. school of traffic and transportation of beijing jiaotong university, beijing 100044 china) (2. school of Electronics and Information Engineering of beijing jiaotong university, beijing 100044 china)

＜正＞ In this paper, an optimal higher order learning adaptive control is developed for a class of SISO nonlinear systems. The design is model-free, just based directly on pseudo-partial-derivatives derived on-line from the input and output information of the system. A novel weighted one-step-ahead control criterion function is proposed for the control law. The convergence analysis is given and it shows that the proposed control law can guarantee the convergence under the assumption that the desired output is a set point. Compared with the one order learning adaptive control method, simulation examples are provided for nonlinear systems to show the better performance of the higher order learning adaptive control.

关键词： optimal higher order learning adaptive control model-free convergence nonlinear system