International Journal of Traffic and Transportation Management


  • Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
  • EDITOR-IN-CHIEF: Prof.Dr. Ansar-Ul-Haque Yasar, Transportation Research Institute – Hasselt University, Belgium
  • ASSOCIATE EDITOR: Prof. Dr. Stephane Galland, UTBM France
  • Medium: Online
  • ISSN: 2371-5782
  • Country: Canada

The International Journal of Traffic and Transportation Management (JTTM) is a high-quality scientific journal devoted to fields of Traffic and Transportation Management. It aims to provide a highly readable and valuable addition to the literature which will serve as an indispensable reference tool for years to come. The coverage of the journal includes all new theoretical and experimental findings in the fields of Traffic and Transportation Management or closely related fields. The journal also encourages the submission of critical review articles covering advances in recent research of such fields as well as technical notes.

INTRODUCTION

The Editor-in-Chief and the Editorial Board are very committed to build the Journal as one of the leading international journals in Traffic and Transportation Management in the next few years. With the support of the International Association for Sharing Knowledge and Sustainability (IASKS), it is expected that a heavy resource to be channeled into the Journal to establish its international reputation. The Journal’s reputation will be enhanced from arrangements with several organizers of international conferences in publishing selected best papers of the conference proceedings. The journal is planning to publish 4 issues per year.

AIMS AND SCOPE

The International Journal of Traffic and Transportation Management (JTTM) is a refereed international journal to be of interest and use to all those concerned with research in various fields of, or closely related to Traffic and Transportation Management disciplines. The International Journal of Traffic and Transportation Management aims to provide a highly readable and valuable addition to the literature which will serve as an indispensable reference tool for years to come. The coverage of the journal includes all new theoretical and experimental findings in the fields of Traffic and Transportation Management or closely related fields. The journal also encourages the submission of critical review articles covering advances in recent research of such fields as well as technical notes.


Latest Articles of JTTM

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


Environmental Awareness and Inclination towards Walking: A Smartphone Application based study

JTTM, volume-02 , Issue 1 (2020), PP 15 - 21

Published: 09 Nov 2020

DOI: 10.5383/JTTM.02.01.003

by Uneb Gazdera from Department of Civil Engineering, University of Bahrain, Isa Town, Bahrain

Abstract: Walking is considered to be one of the sustainable modes of transportation which reduces traffic demand leading to lower levels of pollution and conge read more...

Keywords: Walking, Moves smartphone app, Bahrain, travel behavior


Design, Implementation and Testing of a New Multi-Sensor Mobile Device as a Tool for Cycling Data Collection in Highly Congested Urban Streets

JTTM, volume-02 , Issue 1 (2020), PP 07 - 13

Published: 09 Nov 2020

DOI: 10.5383/JTTM.02.01.002

by Suzana Duran Bernardes, Abdullah Kurkcu, Kaan Ozbay from Department of Civil and Urban Engineering, C2SMART, New York University, Brooklyn, NY, USA,11201, Department of Civil and Urban Engineering, Center for Urban Science and Progress (CUSP), C2SMART, New York University, Brooklyn, NY, USA, 11201

Abstract: The number of bicycle riders in New York City (NYC) has been increasing steadily in the past few years. These numbers include private and shared bicyc read more...

Keywords: Ultrasonic sensor, Bicycle safety, Traffic, IoT


Modelling Heterogeneous and Undisciplined Traffic Flow using Cell Transmission Model

JTTM, volume-02 , Issue 1 (2020), PP 01 - 05

Published: 09 Nov 2020

DOI: 10.5383/JTTM.02.01.001

by Afzal Ahmed , Mir Shabbar Ali , Toor Ansari , Uresha Mansoor from Department of Urban & Infrastructure Engineering, NED University of Engineering & Technology, Karachi, Pakistan, Department of Civil Engineering, Indus University, Karachi, Pakistan

Abstract: This research calibrates Cell Transmission Model (CTM) for heterogeneous and non-lane disciplined traffic, as observed in Pakistan and some other deve read more...

Keywords: Calibration, Cell Transmission Model, Macroscopic Traffic Flow Model, Heterogeneous Traffic, FlowDensity Relation.