Promet - Traffic&Transportation, Vol. 34 No. 5, 2022.

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Predicting Bus Travel Time with Hybrid Incomplete Data – A Deep Learning Approach (str. 673-685)

Ruisen Jiang, Dawei Hu, Steven I-Jy Chien, Qian Sun, Xue Wu
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A Spatial Economic Study of Rail Freight in the European Economic Area (str. 687-698)

Adrienn Boldizsár, Ferenc Mészáros
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Feasibility of Using V2I Sensing Probe Data for Real-Time Monitoring of Multi-Class Vehicular Traffic Volumes in Unmeasured Road Locations (str. 699-710)

Hyunho Chang, Seunghoon Cheon
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Supply Chain Information Collaborative Simulation Model Integrating Multi-Agent and System Dynamics (str. 711-724)

Ning Yang, Yingzi Ding, Junge Leng, Lei Zhang
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Evaluation of Smart City Logistics Solutions (str. 725-738)

Snežana Tadić, Mladen Krstić, Milovan Kovač, Nikolina Brnjac
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Modelling Distribution Routes in City Logistics by Applying Operations Research Methods (str. 739-754)

Ondrej Stopka
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A Functional Data Approach to Outlier Detection and Imputation for Traffic Density Data on Urban Arterial Roads (str. 755-765)

Bin Tang, Yao Hu, Huan Chen
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Correlation Analysis Method of Customisation and Semi-Personalisation in Mobility as a Service (str. 767-777)

Yinying He, Csaba Csiszár
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Gap Acceptance at Non–Standard Unsignalised Intersections (str. 779-787)

Nenad Ruškić, Valentina Mirović
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How the Volume of Traffic Affected Air Quality During the Extreme Event of COVID-19 Lockdown in a Small City (str. 789-800)

Branka Trček, Rok Kamnik
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Role of Railway Transport in Green Deal 2050 Challenge – Situation in the Czech Republic (str. 801-812)

Václav Lauda, Vojtěch Novotný
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The Influence of COVID-19 on Particulate Matter Concentrations in a Medium-Sized Town (str. 813-823)

David Jesenko, Domen Mongus, Uroš Lešnik
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