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Data management and applications in a world-leading bus fleet

机译:世界领先的公交车队中的数据管理和应用

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Automatic Vehicle Location (AVL) Systems are being introduced increasingly in many major cities around the world to improve the efficiency of our road-based passenger transport systems. Satellite-based location and communication systems, particularly the Global Positioning System (GPS) have been the platform for AVL systems which are now supporting real-time passenger information (RTPI), fleet management and operations (FMOs) and public transport priorities (PTPs), to name three key applications. The process of real-time on-board bus location can result in a substantial database where the progress of the bus is stored typically on a second-by-second basis. This is necessary for the primary real-time applications such as those listed above (e.g. RTPI, FMO and PTP). In addition, it is clear that such data could have an array of'secondary' purposes, including use off-line for improving scheduling efficiency and for automatic performance monitoring, thus reducing or removing the need for manual on-street surveys. This paper looks at these and other innovative uses of AVL data for public transport, taking the recent iBus system in London as a current example of a modern AVL/GPS application in a capital city. It describes the data architecture and management in iBus and then illustrates two further examples of secondary data use - dwell time estimation and bus performance analysis. The paper concludes with a discussion of some key data management issues, including data quantity and quality, before drawing conclusions.
机译:在全球许多主要城市中,越来越多地引入自动车辆定位(AVL)系统,以提高基于公路的客运系统的效率。基于卫星的位置和通信系统,尤其是全球定位系统(GPS),已成为AVL系统的平台,目前支持实时乘客信息(RTPI),车队管理和运营(FMO)和公共交通优先(PTP) ,以列出三个关键应用程序。实时车载总线定位过程可能会形成一个庞大的数据库,在该数据库中,通常以每秒为单位存储总线的进度。对于上面列出的主要实时应用(例如RTPI,FMO和PTP),这是必需的。另外,很明显,此类数据可能具有一系列“辅助”目的,包括离线使用以提高调度效率和自动性能监控,从而减少或消除了对手动路内调查的需求。本文研究了AVL数据在公共交通中的这些和其他创新用途,以伦敦最近的iBus系统为首府城市中现代AVL / GPS应用的当前示例。它描述了iBus中的数据体系结构和管理,然后说明了辅助数据使用的另外两个示例-驻留时间估计和总线性能分析。本文最后总结了一些关键的数据管理问题,包括数据的数量和质量。

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