volume-03-Issue 1 (2021)

Latest Articles

The convergence of Internet of Things, Blockchain and Connected Vehicles: Conceptual Advantages and Disadvantages of a new Cooperative Intelligent Transportation System

JTTM, volume-03, Issue 1 (2021) , PP 33 - 41

Published: 24 Jan 2021

DOI: 10.5383/JTTM.03.01.004

by Vittorio Astarita, Vincenzo Pasquale Giofrè, Giuseppe Guido, Alessandro Vitale from Department of Civil Engineering, University of Calabria, Arcavacata di Rende (CS) 87036, Italy

Abstract: This paper intends to explore the convergence of some technological innovations that could lead to new cooperative Intelligent Transportation Systems read more...

Keywords: Intelligent Transportation Systems (ITS), Floating Car Data (FCD), Blockchain Technology (BT), traffic management, connected and autonomous vehicles.

Modelling of a Stochastic Spatiotemporal Variable in Transport Domain

JTTM, volume-03, Issue 1 (2021) , PP 25 - 31

Published: 19 Jan 2021

DOI: 10.5383/JTTM.03.01.004

by Peter Krammer, Marcel Kvassay, Ladislav Hluchý from Institute of Informatics, Slovak Academy of Sciences, Bratislava, Slovakia, 845 07

Abstract: In this article, building on our previous work, we engage in spatiotemporal modelling of transport demand in the Montreal metropolitan area over the p read more...

Keywords: Machine learning, Data mining, Regression, Data distribution, Spatiotemporal data, Modelling, Regression tree

Machine Learning and statistic predictive modeling for road traffic flow

JTTM, volume-03, Issue 1 (2021) , PP 17 - 24

Published: 12 Jan 2021

DOI: 10.5383/JTTM.03.01.003

by Nadia Slimani, Ilham Slimani, Nawal Sbiti, Mustapha Amghar from Computer Systems and Productivity Team, EMI, Mohammed V University, Rabat, Morocco. Laboratory SmartICT, ENSAO, Mohammed I University, Oujda, Morocco.

Abstract: Traffic forecasting is a research topic debated by several researchers affiliated to a range of disciplines. It is becoming increasingly important giv read more...

Keywords: Road traffic forecasting, artificial neural networks, MLP, statistical forecasting, SMOreg, SARIMA.

Predicting Severity of Accidents in Malaysia By Ordinal Logistic Regression Models

JTTM, volume-03, Issue 1 (2021) , PP 11 - 16

Published: 08 Jan 2021

DOI: 10.5383/JTTM.03.01.002

by Uneb Gazder, Ashar Ahmed, Umaira Shahid from Department of Civil Engineering, University of Bahrain, Isa Town, Bahrain, 32038 , Department of Urban and Infrastructure Engineering, NED University of Engineering and Technology, Karachi, Pakistan, 75270

Abstract: This study was aimed at determining the relationships of accident severity using road environment and traveller characteristics. Ordinal logistic regr read more...

Keywords: Traffic Accidents, Severity, Ordinal Logistic Regression, Motorbikes, Malaysia.

On the use of active mobile and stationary devices for detailed traffic data collection: A simulation-based evaluation

JTTM, volume-03, Issue 1 (2021) , PP 01 - 09

Published: 05 Jan 2021

DOI: 10.5383/JTTM.03.01.001

by Johan Holmgren, Henrik Fredriksson, Mattias Dahl from Department of Computer Science and Media Technology, Malmö, Sweden, 20506, Department of Mathematics and Natural Sciences, Blekinge Institute of Technology, Karlskrona, Sweden, 37179

Abstract: The process of collecting traffic data is a key component to evaluate the current state of a transportation network and to analyze movements of vehicl read more...

Keywords: Traffic data collection, stationary devices, mobile devices, traffic simulation