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Streaming detection of significant delay changes in public transport systems
April 12, 2024, 4:42 a.m. | Przemys{\l}aw Wrona, Maciej Grzenda, Marcin Luckner
cs.LG updates on arXiv.org arxiv.org
Abstract: Public transport systems are expected to reduce pollution and contribute to sustainable development. However, disruptions in public transport such as delays may negatively affect mobility choices. To quantify delays, aggregated data from vehicle locations systems are frequently used. However, delays observed at individual stops are caused inter alia by fluctuations in running times and propagation of delays occurring in other locations. Hence, in this work, we propose both the method detecting significant delays and reference …
abstract aggregated data arxiv cs.lg data delay detection development disruptions however locations mobility physics.soc-ph pollution public reduce streaming sustainable sustainable development systems transport type
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