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Analysis of energy consumption of food transit in an urban agglomeration in Poland
Institution:1. Department of Energetics and Vehicles, University of Life Sciences in Lublin, Głęboka 28, Lublin, Poland;2. Department of Applied Mathematics and Computer Science, University of Life Sciences in Lublin, Głęboka 28, Lublin, Poland;1. Department of Landscape Architecture, Chung Chou University of Science and Technology, Yuanlin, Changhua 510, Taiwan;2. Department of Mechanical and Automation Engineering, Chung Chou University of Science and Technology, Yuanlin, Changhua 510, Taiwan;1. Radiation Physics Laboratory, Department of Physics, Faculty of Sciences, Badji Mokhtar University, 23000 Annaba, Algeria;2. LERICA, Department of Electronics, Badji Mokhtar University, 23000 Annaba, Algeria;1. Group of Entrepreneurship, Energy, Environment and Technology-GEEMAT, Mechanical Engineering Department, Federal Center of Technological Education of Rio de Janeiro-CEFET/RJ, R. do Areal, 522 – Parque Mambucaba, Angra dos Reis, RJ 23953-030, Brazil;2. Federal Rural University of Rio de Janeiro-UFRRJ, Rodovia BR 465 – Km 7 – Campus Universitário – Zona Rural, Seropédica, RJ 23851-970, Brazil;1. Department of Electro-Optics Engineering, National Formosa University, Yunlin 632, Taiwan;2. Institute of Electro-Optical Science and Technology, National Taiwan Normal University, Taipei 116, Taiwan;1. Université Laval, École supérieure d’aménagement du territoire et de développement régional, Pavillon Félix-Antoine-Savard, 2325, rue des Bibliothèques Local 1622, Québec, QC G1V 0A6, Canada;2. Department of Civil Engineering and Architecture, Zhejiang University, China;3. Centre for Transport Studies, Department of Transport Science, KTH Royal Institute of Technology, Sweden
Abstract:The paper presents the results of research on operational energy consumption of a vehicle in conditions of urban transit in Poland. An important role in Intelligent Transportation Systems in the road transport is played by transit in urban agglomerations. The analysis was based on the use of telemetry systems and statistical analysis of the waveform of digital speed recording. The resulting empirical cumulative distribution functions of phases of acceleration and deceleration speeds allowed to determine the kinetic losses of the vehicle (fuel consumption). The statistical significance of differences between cumulative distribution functions was tested using the Smirnov–Kolmogorov test.
Keywords:Energy consumption  Food transit  Kinetic energy loss  Kinetic phase  Urban agglomeration
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