Please use this identifier to cite or link to this item:
Full metadata record
|dc.contributor.author||Luís Moreira Matias||en|
|dc.contributor.author||João Mendes Moreira||en|
|dc.description.abstract||In highly populated urban zones, it is common to notice headway deviations (HD) between pairs of buses. When these events occur in a bus stop, they often cause bus bunching (BB) in the following bus stops. Several proposals have been suggested to mitigate this problem. In this paper, we propose to find BBS (Bunching Black Spots) - sequences of bus stops where systematic HD events cause the formation of BB. We run a sequence mining algorithm, named PrefixSpan, to find interesting events available in time series. We prove that we can accurately model the BB trip usual pattern like a frequent sequence mining problem. The subsequences proved to be a promising way of identify the route' schedule points to adjust in order to mitigate such events.||en|
|dc.title||Bus Bunching Detection by Mining Sequences of Headway Deviations||en|
|Appears in Collections:||LIAAD - Book Chapters|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.