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Improvement of an optimal bus scheduling model based on transit smart card data in Seoul

机译：基于首尔公交智能卡数据的最优公交调度模型的改进

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This study was initiated with a goal of improving the bus scheduling model using the past data of “smart card”. Traffic congestion level of Seoul is keep aggravating and it also has negative influence on air pollution and our health. Additionally, this heavy traffic causes high congestion costs. The continuous quantitative growth of the public transportation system brings the necessity of its efficient operation system for its future qualitative growth. The improvement of operation system is necessary also to improve public transportation operation cost efficiency of Seoul. In other words, the systematic planning is necessary for maximizing passengers’ satisfaction level and the public transportation operation cost efficiency of Seoul. The current allocation interval of Seoul bus system is designed based on the empirical data of the past, which is incapable of immediate response to rapidly changing passenger demands. This research analyses passengers’ behaviour and makes a proposal for the traffic network operation by analysing the “traffic card (smart card) big data”, which comes from over 90% of the passengers so as to be flexible in dealing with rapid changes in demand.
机译：这项研究的目的是使用“智能卡”的过去数据来改进公交车调度模型。首尔的交通拥堵程度不断加剧，对空气污染和我们的健康也有负面影响。另外，这种繁忙的交通导致高的拥堵成本。公共交通系统的持续数量增长带来了其未来质的增长需要高效运行系统的必要性。改善运营体系对于提高首尔的公共交通运营成本效率也是必要的。换句话说，系统的计划对于最大化乘客的满意度和首尔的公共交通运营成本效率是必要的。首尔公交系统的当前分配间隔是根据过去的经验数据设计的，无法及时响应快速变化的乘客需求。这项研究分析了乘客的行为，并通过分析“交通卡（智能卡）大数据”提出了交通网络运营的建议，该数据来自90％以上的乘客，以便灵活应对需求的快速变化。

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