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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Bus Stop Refinement Based on Hot Spot Extraction
verfasst von : Yilian Xin, Jiali Mao, Simin Yu, Minxi Li, Cheqing Jin
Erschienen in: Database Systems for Advanced Applications
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Abstract
During rush hour, numerous residents travel to their destinations by a multi-mode transfer way (e.g. bus & taxi) due to lack of direct buses, which sharply increases trip expense and even heavy traffic. The root of such inconvenience in bus service is that obsolete and incorrect bus stop information cannot satisfy residents’ time-dependent travel demand. In this work, we put forward a framework, called BSRF, to optimize the existing bus route using the mined bus stops from trajectory data of taxis’ short-haul order, including identifying candidate bus stop based on hot drop-off point and matching new bus stop with the existing bus line. We build a demo system to showcase the effectiveness of BSRF, which can offer reliable suggestion on bus stop setting for public transport companies.