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Content Provider | IET Digital Library |
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Author | Syrjärinne, Paula Nummenmaa, Jyrki Thanisch, Peter Kerminen, Riitta Hakulinen, Esa |
Abstract | The use of stored public transportation data facilitates the identification of potential issues with urban traffic flow. Focusing on buses, the authors proceed from a city-level delay distribution analysis to a detailed understanding of the factors that cause the delays on an example bus line. First, a database of bus data in Tampere was mined to detect any regular patterns in the distribution of delays in time, location or according to bus line throughout the city. The results allow the authors to focus on those areas and lines which are most prone to delays. In a case study, they illustrate that the most important reasons for tardy journeys are the long waiting times at traffic signals and bus stops, rather than slow driving speeds. The results are then further deepened to show spatially on a map which bus stops and intersections tend to be the ones where the time variances are high. The same methods can be applied to any other city for which the same kind of data are available. |
Starting Page | 566 |
Ending Page | 572 |
Page Count | 7 |
ISSN | 1751956X |
Volume Number | 9 |
e-ISSN | 17519578 |
Issue Number | Issue 6, Aug (2015) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-its/9/6 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-its.2014.0192 |
Journal | IET Intelligent Transport Systems |
Publisher Date | 2015-03-19 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Bus Line Throughout Bus Stops City Level Delay Distribution Analysis Data Handling Technique Data Mining Database Management System (DBMS) Database Mining Delay File Organisation Public Administration Public Transport Regular Pattern Detection Road Traffic Storage Management Stored Public Transportation Data Facilitates Tampere Traffic Engineering Computing Traffic Signal Urban Traffic Flow |
Content Type | Text |
Resource Type | Article |
Subject | Law Transportation Environmental Science Mechanical Engineering |
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