Social Sensing Enhanced Time Ruler for Real-Time Bus Service

Social Sensing Enhanced Time Ruler for Real-Time Bus Service
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用于实时公交服务的社会感知增强时间标尺

DOI:
10.1109/skg.2013.38
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发表时间:
2013-10
期刊:
Concurrency: Practice and Experience
影响因子:
--
通讯作者:
Xiaoguang Niu
Xiaoguang Niu
中科院分区:
其他
文献类型:
--
作者:
Jin Liu;Juan Li;Xiaohui Cui;Xiaoguang Niu

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社会感知通过感知社会事件并评估其对公交通过路段时间的影响,实现公交路线的实时预测。本文提出了一种融合感知能力和社会网络的社会感知增强型实时公交服务,以更好地理解和测量影响车速的社会事件。实时服务的建立主要围绕PT服务质量属性pea和路况属性prca展开。提出了收集总线相关事件并将其进一步分类为PEA事件或PRCA事件的流程。讨论了一种根据社会事件为旅行者评分的方法。提出了一种基于人工神经网络的公交车到达时间预测模型。
Social sensing helps realize the real-time prediction of bus routes by perceiving social events and evaluating their influence on the time when a bus passes through a road section. This paper proposes a social sensing enhanced real-time bus service that integrates sensing ability and social networks to better understand and measure social events that influence vehicle velocity. The establishment of the real-time service revolves around the PT service quality attributions PEAs and the road condition attributions PRCAs. The processes that collect bus relevant events and further categorize them into PEA events or PRCA events were proposed respectively. A method of scoring PEAs for travelers according to social events was discussed. An artificial neural network based prediction model was proposed to estimate the bus arrival time by analyzing PRCA events.
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