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      Numerical Simulation of Nonperiodic Rail Operation Diagram Characteristics

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          Abstract

          This paper succeeded in utilizing cellular automata (CA) model to simulate the process of the train operation under the four-aspect color light system and getting the nonperiodic diagram of the mixed passenger and freight tracks. Generally speaking, the concerned models could simulate well the situation of wagon in preventing trains from colliding when parking and restarting and of the real-time changes the situation of train speeds and displacement and get hold of the current train states in their departures and arrivals. Finally the model gets the train diagram that simulates the train operation in different ratios of the van and analyzes some parameter characters in the process of train running, such as time, speed, through capacity, interval departing time, and departing numbers.

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          Statistical Physics of Vehicular Traffic and Some Related Systems

          In the so-called "microscopic" models of vehicular traffic, attention is paid explicitly to each individual vehicle each of which is represented by a "particle"; the nature of the "interactions" among these particles is determined by the way the vehicles influence each others' movement. Therefore, vehicular traffic, modeled as a system of interacting "particles" driven far from equilibrium, offers the possibility to study various fundamental aspects of truly nonequilibrium systems which are of current interest in statistical physics. Analytical as well as numerical techniques of statistical physics are being used to study these models to understand rich variety of physical phenomena exhibited by vehicular traffic. Some of these phenomena, observed in vehicular traffic under different circumstances, include transitions from one dynamical phase to another, criticality and self-organized criticality, metastability and hysteresis, phase-segregation, etc. In this critical review, written from the perspective of statistical physics, we explain the guiding principles behind all the main theoretical approaches. But we present detailed discussions on the results obtained mainly from the so-called "particle-hopping" models, particularly emphasizing those which have been formulated in recent years using the language of cellular automata.
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            Optimal lines for railway systems

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              A multiobjective model for passenger train services planning: application to Taiwan's high-speed rail line

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                Author and article information

                Journal
                Comput Intell Neurosci
                Comput Intell Neurosci
                CIN
                Computational Intelligence and Neuroscience
                Hindawi Publishing Corporation
                1687-5265
                1687-5273
                2014
                11 November 2014
                : 2014
                : 194975
                Affiliations
                1School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China
                2Signal & Communication Research Institute, China Academy of Railway Sciences, Beijing 100081, China
                Author notes

                Academic Editor: Xiaobei Jiang

                Article
                10.1155/2014/194975
                4243468
                3e97ae69-6ba6-4df9-993f-cd08d0b3348d
                Copyright © 2014 Yongsheng Qian et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 10 July 2014
                : 1 September 2014
                Categories
                Research Article

                Neurosciences
                Neurosciences

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