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Arrival Time Estimation System Based on Massive Positioning Data of Public Transport Vehicles

机译:基于大规模定位数据的公共交通工具抵达时间估计系统

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Nowadays the public transport systems play a main role in the advanced societies. How to evaluate the quality of the public transport is a critic task of the transport regulatory agencies. One indicator used to measure this quality is the fulfilment of the scheduled operation by the transport operators, specially scheduled arrival times and frequencies at stops. In this paper, an automatic system to estimate arrival times in the context of road public transport is proposed. The system works autonomously, acquiring massive vehicle position readings, registering and processing them automatically in order to estimate arrival times. This autonomous behaviour is achieved using pattern recognition and statistical techniques. To illustrate the application of the system, the estimation of arrival times at a bus stop is presented.
机译:如今公共交通系统在先进的社会中发挥着主要作用。如何评价公共交通的质量是运输监管机构的批评任务。用于测量此质量的一个指标是通过运输运营商的预定操作,特殊计划的到达时间和频率在停止时实现。在本文中,提出了一种自动系统来估算道路公共交通背景下的到达时间。系统自主地工作,自动获取大规模的车辆位置读数,以自动注册和处理,以估计到达时间。这种自主行为是使用模式识别和统计技术实现的。为了说明系统的应用,提出了在总线站的到达时间的估计。

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