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The optimization of allocation for emergency resource of Urban rail under network conditions

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International English Education Research 2016年第1期 10-13页

作者： DING Xiaobing School of Urban rail Transportation Shanghai University of Engineering Science Shanghai 201620 China

After Anglicizing emergency resource allocation problem of Zhengzhou rail network, a dynamic programming algorithm is proposed, then make model for the problem, meanwhile searching the optimal solution for allocation of emergency resources with improved dynamic programming algorithm. The resulting optimal solution is accurate, and can be able to provide good decision support for optimal allocation of emergency resources of Zhengzhou rail transportation under network condition, making rail transport operations much safer.

关键词： network operation modeling and solving emergency allocation of resources dynamic programming

Scheduling trains on railway network using random walk method

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Chinese Physics B 2010年第3期19卷 227-232页

作者：李克平 State Key Laboratory of rail Traffic Control and Safety Beijing Jiaotong University

According to random walk, in this paper, we propose a new traffic model for scheduling trains on a railway network. In the proposed method, using some iteration rules for walkers, the departure and the arrival times of trains at each station are determined. We test the proposed method on an assumed railway network. The numerical simulations and the analytical results demonstrate that the proposed method provides an effective tool for scheduling trains. Some characteristic behaviours of train movement can be reproduced, such as train delay.

关键词： train schedule random walk model passenger transportation plan

Analyzing the causation of a railway accident based on a complex network

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Chinese Physics B 2014年第2期23卷 644-650页

作者：马欣李克平罗自炎周进 State Key Laboratory of rail Traffic Control and Safety Beijing Jiaotong University

In this paper, a new model is constructed for the causation analysis of railway accident based on the complex network theory. In the model, the nodes are defined as various manifest or latent accident causal factors. By employing the complex network theory, especially its statistical indicators, the railway accident as well as its key causations can be analyzed from the overall perspective. As a case, the ＂7.23＂ China-Yongwen railway accident is illustrated based on this model. The results show that the inspection of signals and the checking of line conditions before trains run played an important role in this railway accident. In conclusion, the constructed model gives a theoretical clue for railway accident prediction and, hence, greatly reduces the occurrence of railway accidents.

关键词： railway accident complex network accident network model

Learning a Deep Metric:A Lightweight Relation network for Loop Closure in Complex Industrial Scenarios

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Chinese Journal of Electronics 2021年第1期30卷 45-54页

作者： JIN Sheng CHEN Liang GAO Yu SHEN Changqing SUN Rongchuan School of Mechanical and Electric Engineering Soochow University School of rail Transportation Soochow University

The similarity metric in Loop closure detection(LCD) is still considered in an old fashioned way, i.e. to pre-define a fixed distance function, leading to a limited performance. This paper proposes a general framework named LRN-LCD, i.e. a Lightweight relation network for LCD, which combines the feature extraction module and similarity metric module into a simple and lightweight network. The LRN-LCD, an end-to-end framework, can learn a non-linear deep similarity metric to detect loop closures from different scenes. Moreover, the LRN-LCD supports image sequences as input to speed up the similarity metric in real-time applications. Extensive experiments on several open datasets illustrate that LRN-LCD is more robust to strong condition variations and viewpoint variations than the mainstream methods.

关键词： lightweight relation network image sequences similarity metric feature extraction module SLAM (robots) loop closure detection robot vision nonlinear deep similarity loop closures fixed distance function learning (artificial intelligence) LRN-LCD framework feature extraction deep metric

Preliminary Study on Selling Tickets in Reason for Last Trains on Beijing rail Transit network

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Journal of Intelligent Learning Systems and Applications 2013年第4期5卷 254-260页

作者： Yang Wang Jie Xu Limin Jia Jianyuan Guo Ping Liang Bo Wang Jinxin Xie Beijing Metro Beijing China. School of Traffic and Transportation Beijing Jiaotong University Beijing China State Key Laboratory of rail Traffic Control & Safety Beijing Jiaotong University Beijing State Key Laboratory of rail Traffic Control & Safety Beijing Jiaotong University Beijing China

With the increase of Beijing urban rail transport network, the structure of the road network is becoming more complex, and passengers have more travel options. Together with the complex paths and different timetables, taking the last train is becoming much more difficult and unsuccessful. To avoid losses, we propose feasible suggestions to the last train with reasonable selling tickets system.

关键词： Intelligent Transportation Urban rail Transport network Automatic Ticketing System The Last Train Transfer

Cascading Delays for the High-Speed rail network Under Different Emergencies:A Double Layer network Approach

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IEEE/CAA Journal of Automatica Sinica 2023年第10期10卷 2014-2025页

作者： Xingtang Wu Mingkun Yang Wenbo Lian Min Zhou Hongwei Wang Hairong Dong School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China School of Control and Computer Engineering North China Electric Power UniversityBeijing 100096China State Key Laboratory of Advanced rail Autonomous Operation Beijing Jiaotong UniversityBeijing 100044China National Research Center of railway Safety Assessment Beijing Jiaotong UniversityBeijing 100044China

High-speed rail(HSR) has formed a networked operational scale in China. Any internal or external disturbance may deviate trains’ operation from the planned schedules, resulting in primary delays or even cascading delays on a network scale. Studying the delay propagation mechanism could help to improve the timetable resilience in the planning stage and realize cooperative rescheduling for dispatchers. To quickly and effectively predict the spatial-temporal range of cascading delays, this paper proposes a max-plus algebra based delay propagation model considering trains’ operation strategy and the systems’ constraints. A double-layer network based breadth-first search algorithm based on the constraint network and the timetable network is further proposed to solve the delay propagation process for different kinds of emergencies. The proposed model could deal with the delay propagation problem when emergencies occur in sections or stations and is suitable for static emergencies and dynamic emergencies. Case studies show that the proposed algorithm can significantly improve the computational efficiency of the large-scale HSR network. Moreover, the real operational data of China HSR is adopted to verify the proposed model, and the results show that the cascading delays can be timely and accurately inferred, and the delay propagation characteristics under three kinds of emergencies are unfolded.

关键词： Delay propagation double layer network high speed rail network max-plus algebra

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A Control Simulation Method of High-Speed Trains on railway network with Irregular Influence

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Communications in Theoretical Physics 2011年第9期56卷 411-418页

作者：杨立兴李想李克平 State Key Laboratory of rail Traffic Control and Safety Beijing Jiaotong University

Based on the discrete time method, an effective movement control model is designed for a group of high- speed trains on a rail network. The purpose of the model is to investigate the specific traffic characteristics of high-speed trains under the interruption of stochastic irregular events. In the model, the high-speed rail traffic system is supposed to be equipped with the moving-block signalling system to guarantee maximum traversing capacity of the railway. To keep the safety of trains＇ movements, some operational strategies are proposed to control the movements of trains in the model, including traction operation, braking operation, and entering-station operation. The numerical simulations show that the designed model can well describe the movements of high-speed trains on the rail network. The research results can provide the useful information not only for investigating the propagation features of relevant delays under the irregular disturbance but also for rerouting and reseheduling trains on the rail network.

关键词： high-speed train rail network discrete-time simulation irregular event

A Complex network Model for Analyzing railway Accidents Based on the Maximal Information Coefficient

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Communications in Theoretical Physics 2016年第10期65卷 459-466页

作者： Fu-Bo Shao Ke-Ping Li State Key Laboratory of rail Traffic Control and Safety Beijing Jiaotong University

It is an important issue to identify important influencing factors in railway accident *** this paper,employing the good measure of dependence for two-variable relationships,the maximal information coefficient(MIC),which can capture a wide range of associations,a complex network model for railway accident analysis is designed in which nodes denote factors of railway accidents and edges are generated between two factors of which MIC values are larger than or equal to the dependent *** variety of network structure is *** the increasing of the dependent criterion,the network becomes to an approximate scale-free ***,employing the proposed network,important influencing factors are *** we find that the annual track density-gross tonnage factor is an important factor which is a cut vertex when the dependent criterion is equal to *** the network,it is found that the railway development is unbalanced for different states which is consistent with the fact.

关键词： railway accidents complex network the maximal information coefficient

Traffic network equilibrium problems with demands uncertainty and capacity constraints of arcs by scalarization approaches

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Science China(Technological Sciences) 2018年第11期61卷 1642-1653页

作者： CAO JinDe LI RuoXia HUANG Wei GUO JianHua WEI Yun School of Mathematics Research Center for Complex Systems and Network SciencesSoutheast UniversityNanjing 210096China Intelligent Transportation System Research Center Southeast UniversityNanjing 210096China National Engineering Laboratory for Green & Safe Construction Technology in Urban rail Transit Beijing 100037China

This paper focuses on the vector traffic network equilibrium problem with demands uncertainty and capacity constraints of arcs, in which, the demands are not exactly known and assumed as a discrete set that contains finite scenarios. For different scenario, the demand may be changed, which seems much more reasonable in practical programming. By using the linear scalarization method,we introduce several definitions of parametric equilibrium flows and reveal their mutual relations. Meanwhile, the relationships between the scalar variational inequality as well as the(weak) vector equilibrium flows are explored, meanwhile, some necessary and sufficient conditions that ensure the(weak) vector equilibrium flows are also considered. Additionally, by means of nonlinear scalarization functionals, two kinds of equilibrium principles are derived. All of the derived conclusions contain the demands uncertainty and capacity constraints of arcs, thus the results proposed in this paper improved some existing works. Finally, some numerical examples are employed to show the merits of the improved conclusions.

关键词： traffic network demands uncertainty capacity equilibrium flow scalarization