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Hairong Dong - One of the best experts on this subject based on the ideXlab platform.

  • Guest Editorial Introduction to the Special Issue on Intelligent Rail Transportation
    IEEE Transactions on Intelligent Transportation Systems, 2019
    Co-Authors: Hairong Dong, Clive Roberts, Zongli Lin, Fei-yue Wang
    Abstract:

    As demand for Rail Transportation continues to increase rapidly, significant challenges have emerged in many Railway systems in terms of Capacity, Safety and Customer Satisfaction. To deal with these challenges, intelligent technologies, such as artificial intelligence, big data, and machine learning, have been gradually introduced to Rail Transportation. It is therefore timely and appropriate to have a focused investigation and discussion about Intelligent Rail Transportation. This special issue provides a forum for scientists and engineers working in academia, industry, and government to present their latest research findings and engineering experiences in developing and applying intelligent technologies to improve Railway’s autonomy, cooperation, and integration.

  • emergency management of urban Rail Transportation based on parallel systems
    IEEE Transactions on Intelligent Transportation Systems, 2013
    Co-Authors: Hairong Dong, Bin Ning, Ding Wen, Yao Chen, Xubin Sun, Renhai Ouyang
    Abstract:

    Integrating artificial systems, computational experiments, and parallel execution (ACP) is an effective approach to modeling, simulating, and intervening real complex systems. Emergency response is an important issue in the operation of urban Rail transport systems for ensuring the safety of people and property. Inspired by the ACP method, this paper introduces a basic framework of parallel control and management (PCM) for emergency response of urban Rail Transportation systems. The proposed framework is elaborated from three interdependent aspects: Points, Lines, and Networks. Points represent the modeling of urban Rail stations, Lines describe the microscopic characteristics of urban Rail connections between designated stations, and Networks present the macroscopic properties of all the urban Rail connections. Based on the given framework, a series of parallel experiments, which were impossible to achieve in real systems, can now be conducted in the constructed artificial system. Furthermore, the constructed artificial system can be used to test and develop effective emergency control and management strategies for real Rail transport systems. Therefore, this proposed framework will be able to enhance the reliability, security, robustness, and maneuverability of urban Rail transport systems in case of an emergency.

  • acp based control and management of urban Rail Transportation systems
    IEEE Intelligent Systems, 2011
    Co-Authors: Bin Ning, Hairong Dong, Ding Wen, Changjian Cheng
    Abstract:

    Urban Rail Transportation (URT) has long become the preferred public Transportation choice for major metropolitan areas such as New York, London, Paris, Moscow, Tokyo, and Beijing. The highest daily record for Beijing's URT reached 5.71 million passenger trips in 2010, which makes the network extremely crowded in rush hours. To accommodate the increasing demand for URT, the service frequencies have been increased tremendously. To address these safety, efficiency, and reliability issues, the paper presents a novel parallel system for URT operations that uses the concept of parallel system and computational experiments based on artificial systems (ACP). The parallel URT system can analyze and facilitate passenger-flow management, vehicle scheduling, and other operational issues while considering human-related, environmental, and other social and economical factors.

  • On credibility validation of the artificial urban Rail Transportation system
    Proceedings of 2011 IEEE International Conference on Service Operations Logistics and Informatics, 2011
    Co-Authors: Jianzhong Liu, Hairong Dong
    Abstract:

    The credibility validation mode of the artificial urban Rail Transportation system is studied in this paper. Based on the analysis of credibility validation in the artificial urban Rail Transportation system, the validation mode which includes the validation interval, validation object and validation method of artificial urban Rail Transportation are established. Finally, the credibility of train agent is validated to show the validation process of agents which are used to “emerging” the parallel urban Rail Transportation system.

Zhu Huai-fang - One of the best experts on this subject based on the ideXlab platform.

  • Smart Rail Transportation and its system architecture
    Journal of Computer Applications, 2012
    Co-Authors: Zhu Huai-fang
    Abstract:

    This paper advocated using the concept of Smart Rail Transportation(SRT) to describe future vision of "high-efficient,fast convenient,safe,visual,predictable,ecological,and smart" Rail Transportation industry as a macro-system together with an organizational framework for SRT.This framework is composed of three parts: A) an Intelligent Ground Infrastructure for SRT(SRT-IGI) plus Smart Trains aiming at "in-depth sensing perceiving";B) the Internet of Things(IoT) for SRT acting as a common platform for information exchange and resource sharing and aiming at extensive interconnectivity and interoperability among human beings,computers,and physical objects;and C) the top layer a Human-Computer Amalgamated Intelligent Management,Decision-making,and Commanding(HCA-IMDC) system for SRT aiming at premier intelligent data processing.All these three components with their distributed intelligent processing power make the Rail Transportation "smart".Technical connotation of the three components was analyzed in details.In view of that no comprehensive work on smart Rail Transportation from view of Information Technology(IT) has been found so far,the authors wish that this framework could provide a basis for further discussion on this subject and contribute to the leap-forward development for Rail Transportation in our country.

Joaquin Rodriguez - One of the best experts on this subject based on the ideXlab platform.

  • Single European Sky and Single European Railway Area: A System Level Analysis of Air and Rail Transportation
    Transportation Research Part A: Policy and Practice, 2013
    Co-Authors: Paola Pellegrini, Joaquin Rodriguez
    Abstract:

    Air and Rail Transportation systems are characterized by important common features: they serve a significant share of passenger traffic in Europe; their functioning relies on the cooperation of many stakeholders operating a fixed timetable, often with competing objectives; and they have been characterized by quite a fragmented development following national borders. For these systems, the European Commission envisages a common future in terms of an increase of efficiency and elimination of national borders. In this paper, we analyze the two systems in the perspective of their common development and we underline the main existing differences linked to the management of the infrastructure. These differences concern the processes implemented for specifying and allocating capacity, both in strategic planning and in real-time intervention. Our analysis suggests that the air Transportation system is moving in the direction indicated by the European Commission, as well as the Rail Transportation system for what concerns international train paths (typically high-speed trains). However, a substantial separation still exists between conventional Rail Transportation systems of different countries.

Renhai Ouyang - One of the best experts on this subject based on the ideXlab platform.

  • emergency management of urban Rail Transportation based on parallel systems
    IEEE Transactions on Intelligent Transportation Systems, 2013
    Co-Authors: Hairong Dong, Bin Ning, Ding Wen, Yao Chen, Xubin Sun, Renhai Ouyang
    Abstract:

    Integrating artificial systems, computational experiments, and parallel execution (ACP) is an effective approach to modeling, simulating, and intervening real complex systems. Emergency response is an important issue in the operation of urban Rail transport systems for ensuring the safety of people and property. Inspired by the ACP method, this paper introduces a basic framework of parallel control and management (PCM) for emergency response of urban Rail Transportation systems. The proposed framework is elaborated from three interdependent aspects: Points, Lines, and Networks. Points represent the modeling of urban Rail stations, Lines describe the microscopic characteristics of urban Rail connections between designated stations, and Networks present the macroscopic properties of all the urban Rail connections. Based on the given framework, a series of parallel experiments, which were impossible to achieve in real systems, can now be conducted in the constructed artificial system. Furthermore, the constructed artificial system can be used to test and develop effective emergency control and management strategies for real Rail transport systems. Therefore, this proposed framework will be able to enhance the reliability, security, robustness, and maneuverability of urban Rail transport systems in case of an emergency.

Bin Ning - One of the best experts on this subject based on the ideXlab platform.

  • emergency management of urban Rail Transportation based on parallel systems
    IEEE Transactions on Intelligent Transportation Systems, 2013
    Co-Authors: Hairong Dong, Bin Ning, Ding Wen, Yao Chen, Xubin Sun, Renhai Ouyang
    Abstract:

    Integrating artificial systems, computational experiments, and parallel execution (ACP) is an effective approach to modeling, simulating, and intervening real complex systems. Emergency response is an important issue in the operation of urban Rail transport systems for ensuring the safety of people and property. Inspired by the ACP method, this paper introduces a basic framework of parallel control and management (PCM) for emergency response of urban Rail Transportation systems. The proposed framework is elaborated from three interdependent aspects: Points, Lines, and Networks. Points represent the modeling of urban Rail stations, Lines describe the microscopic characteristics of urban Rail connections between designated stations, and Networks present the macroscopic properties of all the urban Rail connections. Based on the given framework, a series of parallel experiments, which were impossible to achieve in real systems, can now be conducted in the constructed artificial system. Furthermore, the constructed artificial system can be used to test and develop effective emergency control and management strategies for real Rail transport systems. Therefore, this proposed framework will be able to enhance the reliability, security, robustness, and maneuverability of urban Rail transport systems in case of an emergency.

  • acp based control and management of urban Rail Transportation systems
    IEEE Intelligent Systems, 2011
    Co-Authors: Bin Ning, Hairong Dong, Ding Wen, Changjian Cheng
    Abstract:

    Urban Rail Transportation (URT) has long become the preferred public Transportation choice for major metropolitan areas such as New York, London, Paris, Moscow, Tokyo, and Beijing. The highest daily record for Beijing's URT reached 5.71 million passenger trips in 2010, which makes the network extremely crowded in rush hours. To accommodate the increasing demand for URT, the service frequencies have been increased tremendously. To address these safety, efficiency, and reliability issues, the paper presents a novel parallel system for URT operations that uses the concept of parallel system and computational experiments based on artificial systems (ACP). The parallel URT system can analyze and facilitate passenger-flow management, vehicle scheduling, and other operational issues while considering human-related, environmental, and other social and economical factors.