Fuel consumption analysis of driven trips with respect to route choice

التفاصيل البيبلوغرافية
العنوان: Fuel consumption analysis of driven trips with respect to route choice
المؤلفون: Jukka Riekki, Satu Tamminen, Ekaterina Gilman, Xiang Su, Theodoros Anagnostopoulos, Anja Keskinarkaus, Susanna Pirttikangas
المساهمون: Department of Computer Science
المصدر: ICDE Workshops
بيانات النشر: IEEE, 2020.
سنة النشر: 2020
مصطلحات موضوعية: data fusion, 050210 logistics & transportation, Traffic analysis, Computer science, business.industry, 05 social sciences, EFFICIENT, 020206 networking & telecommunications, 02 engineering and technology, 113 Computer and information sciences, fuel-efficiency, Sensor fusion, Transport engineering, traffic analysis, Public transport, 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, Fuse (electrical), Fuel efficiency, TRIPS architecture, business, route selection, Road traffic, Selection (genetic algorithm)
الوصف: 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.
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::026934e55789ca5d519d2203353ed838
https://doi.org/10.1109/icdew49219.2020.000-9
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....026934e55789ca5d519d2203353ed838
قاعدة البيانات: OpenAIRE