Abstract | ||
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Advances in technology equip traffic domain with instruments to gather and analyse data for safe and fuel-efficient traveling. In this article, we elaborate on the effects that taxi drivers' route selection has on fuel efficiency. For this purpose, we fuse real driving behaviour data from taxi cabs, weather, digital map, and traffic situation information to gain understanding of how the routes are selected and what are the effects in terms of fuel-efficiency. Analysis of actually driven trips and their quickest and shortest counterparts is conducted to find out the fuel-efficiency consequences on route selection. The judgments are used for developing a fuel-consumption model, exploring further the route characteristics and external factors affecting fuel consumption. |
Year | DOI | Venue |
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2020 | 10.1109/ICDEW49219.2020.000-9 | 2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW) |
Keywords | DocType | ISSN |
data fusion,fuel-efficiency,route selection,traffic analysis | Conference | 1943-2895 |
ISBN | Citations | PageRank |
978-1-7281-4267-8 | 1 | 0.36 |
References | Authors | |
6 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ekaterina Gilman | 1 | 77 | 11.83 |
Satu Tamminen | 2 | 2 | 3.47 |
Anja Keskinarkaus | 3 | 58 | 7.17 |
Theodoros Anagnostopoulos | 4 | 157 | 14.54 |
Xiang Su | 5 | 157 | 26.32 |
Susanna Pirttikangas | 6 | 169 | 23.63 |
Jukka Riekki | 7 | 701 | 85.55 |