首页> 外文会议>Intelligent Transportation Systems, 2005. Proceedings. 2005 IEEE >The impact of adverse weather conditions on urban bus performance measures
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The impact of adverse weather conditions on urban bus performance measures

机译:恶劣天气条件对城市公交车性能指标的影响

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Increases in congestion levels caused by adverse weather conditions are difficult to predict and therefore urban bus operators cannot incorporate appropriate changes into their planning, scheduling, and management decisions. Adverse weather conditions have an impact on the level of service an operator provides. They also result in higher levels of congestion due to an increase of personal car usage. The aim of the research paper is to investigate the impact of adverse weather conditions on urban bus performance measures. The Irish city which is used for this study given its geographical location experiences a maritime climate, dominated by low pressure from the Atlantic bringing cold wet weather with the trade winds. The study includes various types of performance measures such as ridership, frequency, headway regularity and travel time, which are analysed both in the presence and absence of adverse weather conditions. The performance measures include changing variables such as stage and destination, peak and off-peak, inbound and outbound in order to provide a comprehensive analysis. The data used for this research originate from an electronic fare collection system. 46 million individual boarding records are stored in the database. The results of the research paper include the calculation and presentation of various analysed performance measures followed by an extensive interpretation of how this information can support decision-making. The quantitative analysis method aims to improve and adjust planning, scheduling, and management decisions of urban bus operators and thereby alter and improve operations and level of service provided.
机译:不利的天气条件导致的拥堵程度的增加很难预测,因此城市公交车运营商无法在其计划,调度和管理决策中纳入适当的更改。不利的天气状况会影响运营商提供的服务水平。由于私人汽车使用量的增加,它们还会导致更高程度的拥堵。该研究论文的目的是研究不利的天气条件对城市公交车性能指标的影响。本研究使用的爱尔兰城市地理位置优越,属于海洋气候,主要受大西洋低压的影响,伴随着商风带来寒冷潮湿的天气。这项研究包括各种类型的绩效指标,例如乘车率,频率,时速规律性和旅行时间,在存在和不存在不利天气条件下都进行了分析。绩效度量包括更改变量,例如阶段和目的地,高峰和非高峰,入站和出站,以提供全面的分析。用于这项研究的数据来自电子票价收集系统。数据库中存储有4,600万条个人登机记录。研究论文的结果包括各种分析的绩效指标的计算和表示,然后对该信息如何支持决策进行了广泛的解释。定量分析方法旨在改善和调整城市公交车运营商的规划,日程安排和管理决策,从而改变和改善运营和提供的服务水平。

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