A railway traffic regulation method that minimises passenger inconvenience under disturbed traffic has been proposed and evaluated in comparison with two previously published methods. Firstly, a traffic evaluation function which represents passenger inconvenience is proposed. Using the proposed traffic evaluation function, the traffic regulation problem is formulated as an optimisation problem to find an optimal set of arrival and departure times which gives the minimum value of the traffic evaluation function. To solve this optimisation problem, an optimisation method utilising the technique of gradient projection has been developed. To be practically applicable as a real-time controller, two further techniques namely, fixed length optimisation window with receding horizon and recursive optimisation were utilised to reduce computing time. The proposed method was evaluated by simulation including a detailed passenger flow model and compared to two typical previous methods, Araya's method and Chua's method.


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