Latest Articles

A Posture Recognition System to Track Drivers’ Activities While Driving

JTTM, volume-03 , Issue 2 (2021), PP 25 - 31

Published: 21 Aug 2021

DOI: 10.5383/JTTM.03.02.004

by Khaled Shaaban, Osama Halabi, Eman Almughani from Utah Valley University, Orem, United States, 84058 and Qatar University, Doha, Qatar, 2713

Abstract: To improve traffic safety, different systems were invented to warn drivers when detecting a conflict. However, drivers may be already aware of such co read more...

Keywords: Sitting posture, activity recognition, driving simulator, virtual reality, autonomous vehicles

An integrated agent-based model of travel demand and package deliveries

JTTM, volume-03 , Issue 2 (2021), PP 17 - 24

Published: 18 Aug 2021

DOI: 10.5383/JTTM.03.02.003

by Anna Reiffer, Jelle Kübler , Lars Briem, Martin Kagerbauer, Peter Vortisch from Institute for Transport Studies, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131 Karlsruhe, Germany

Abstract: With the increased shift from in-store shopping to e-commerce, we can expect the share of delivery vehicles in cities to rise as well. This puts great read more...

Keywords: last-mile, agent-based, travel demand, urban freight

Measuring Vehicle Speeds, Compliance Rates, and Braking Reaction Times at Level Crossings Using Fixed and Moving Driving Simulators

JTTM, volume-03 , Issue 2 (2021), PP 09 - 16

Published: 13 Aug 2021

DOI: 10.5383/JTTM.03.02.002

by Inhi Kim , Khaled Shaaban from Kongju National University, Chungcheongnam-do, South Korea Utah Valley University, Orem, Utah, United States, 84058

Abstract: Driving simulators are used for many applications including traffic safety. There are several types of driving simulators available for researchers an read more...

Keywords: Braking reaction time, compliance rates, fixed driving simulator, moving driving simulator, speed profiles

Regionalization for urban air mobility application in metropolitan areas: case studies in San Francisco and New York

JTTM, volume-03 , Issue 2 (2021), PP 01 - 08

Published: 07 Aug 2021

DOI: 10.5383/JTTM.03.02.001

by Namwoo Kim, Yoonjin Yoon from Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141 Korea

Abstract: In a new era of mobility where the transportation of persons or goods via flying vehicles over urban areas has garnered great interest in its applicat read more...

Keywords: Urban Air Mobility, UAS Traffic Management, Geodemographic Analysis, Spatial Clustering

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