An optimal traffic regulation method based on passenger oriented traffic evaluation was developed. To formulate the passenger oriented traffic evaluation function, concepts of passenger expectation and passenger inconvenience were introduced. Using the function, a traffic regulation problem is described as an optimisation problem to find an optimum set of departure times and arrival times that gives the minimum passenger inconvenience. This problem is large scale because decision variables are departure times and arrival times of all trains at each station. At the same time, this problem is a constrained problem because there are constraints that restricts interval between departure time and arrival time. A online optimisation method to solve the problem was developed. To cope with the constraints, an idea of gradient projection is utilised in the developed method. To reduce computing time to practical level, three techniques, decomposition of partial derivatives, fixed length receding horizon and recursive optimisation are used. Simulation results show that the proposed method can reduce passenger inconvenience up to 57
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