The Influence Of Network Bottleneck On The Train Energy Consumption In Railway Traffic

Nowadays, in the modern public transportation system, track transportation plays an important role and the train signal control system which ensures the safety and high speed of the train is the core of it. At present, the train signal systems include the fixed block system and the moving block system. The moving block system has abandoned the block section of the fixed block system, which has greatly increased the intensity of the trains and improved the capacity of the lines. It makes the moving block system become the developmental trend of the train signal control system. Meanwhile, the interaction of the trains becomes more obvious in the moving block system. Compared with the fixed block system, the delay of a train will have more serious impact on the following ones in the moving block system. In the paper, the author sets up a cellular automata model (CA) in the stations under the moving block system based on the analysis of the characteristics of the track transportation and discusses the relations between the aspects in the track train function and the energy consumption by using the model set up in the paper. The paper mainly includes the following three parts:1. The author introduces the related theories of the moving block system including the origin, the basic theories, the advantages and the practical applications of the moving block system. The author also explains the development history, the physical definition, the basic units, the characteristics of the cellular automaton and its application in the traffic and transportation in details.2. The author sets up the cellular automaton model under the consideration of the reaction time of the trains according to the characteristics of the moving block system in the track transportation. The validity of the model is tested through the comparison between the minimum time interval between trains spaced by automatic block signals and the theory value as well as the analog value of the maximum speed of the train. Under the help of the cellular automaton model, the features of the track transportation are explored and the relations among the speed, the time and locations are discusses. The impact of the station dwell time, the reaction time and the maximum speed of the train on the train additional energy consumption are analyzed.3. The author further sets up the cellular automaton model under the use of coasting strategy. The author discusses the impact of the train time interval on the time delay based on the cellular automaton model function of the train under the moving block system. By choosing the appropriate departure interval, the author has studied the impact of the first time delay on the whole time delay and the train energy consumption. Finally, the author analyzed the impact of the station standing time and the maximum speed on the average energy consumption.