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This paper focuses on optimizing the robustness of a timetable with multiple train lines of different frequencies, where overtakings are also taken into account. An optimization model is considered of a cyclic railway timetable problem where dwell times and running times are variable and overtaking is allowed for relevant stations and each line. Based on the Periodic Event Scheduling Problem, train...
This paper introduces the multiple linear regression, stepwise linear regression, neural network method, and improves the neural network. Comprehensive analysis of the current prediction methods, the application principle of a detailed analysis and comparison of the various prediction methods advantages and disadvantages. Put forward to improve short-term load forecasting accuracy is not only attach...
The paper improves a macroscopic urban traffic network model for traffic control by taking some real aspects of traffic into account. Compared with the previous model, the new model mainly considers the delay time of vehicles running from the beginning of link to the tail of the waiting queues in link under different traffic situations. Taking each of the models as a prediction model respectively,...
Analyzing the growth rhythm of a plant correctly is very important during modeling its whole growth process. Now the parametric L-system is a kind of popular plant modeling tool in which many parameters are introduced to build up the production rules. To depict growth details of a plant the growth function is combined with the L-system production rules in which the interaction among several plant...
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