Abstract
ABSTRACTA customer-oriented dynamic cyclical adjustment approach is applied to optimize a high-speed railway train stop plan, which includes five steps that should be repeated until reasonable passenger transfer efficiency is reached. First, an improved Frank-Wolfe algorithm is used to assign passenger flow. Second, the obtained train stop plan is evaluated. Finally, the evaluation result is used as a feedback to adjust the train stop plan, a new line plan scheme with new train stop plan is obtained, and another passenger flow distribution is applied. A numerical experiment is carried out by taking the Beijing-Shanghai high-speed railway network in China as a background.
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