About Me

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Nael is a Ph.D. (Doctoral) candidate in Transportation Engineering at the Laboratory of Innovations in Transportation (LiTrans), Toronto Metropolitan University, Canada. He completed his B.Sc. in Civil Engineering in 2015 and M.Sc. in Transportation Engineering in 2017, both from Jordan University of Science and Technology (JUST), Jordan. He started his Ph.D. in September 2019, where his research focuses on travel demand modelling for Shared On-Demand Mobility Services.

 

Nael is a member of the Institute of Transportation Engineers (ITE),  ITE Canada, ITE-Toronto Metropolitan University Student Chapter (ITE-TMU), Jordan Engineers Association (JEA), and Jordanian Roads Society (JRS).

Nael Alsaleh
Ph.D. Candidate | Former President of ITE-TMU
Laboratory of Innovations in Transportation (LiTrans),
Toronto Metropolitan University, Toronto, Ontario.

Accounts

  • LinkedIn
  • Twitter

Education

Ph.D., Transportation Engineering
Toronto Metropolitan University (TMU)
2019 - Now 
M.Sc., Transportation Engineering
Jordan University of Science & Technology (JUST)
2016 - 2017 
B.Sc., Civil Engineering
Jordan University of Science & Technology (JUST)
2011 - 2015 

Honuors & Awards

  • International Ontario Graduate Scholarship (OGS) Award (Merit Based) for the 2022-2023 academic year.
  • International PhD Tuition Fees Conversion Scholarship (Competitive Based).
  • The First Place Award in The Best Master Thesis at JUST for the 2017-2018 academic year (Competitive Based).
  • Full-Funded Masters Scholarship Award (Competitive Based), Scientific Research Support Fund, Ministry of Higher Education, Jordan.
  •  2014-2015 Dean's Honour List, Faculty of Engineering, JUST.
  • 2011-2012 Dean's Honour List, Faculty of Engineering, JUST.  

Interests

  • Travel Demand Modelling
  • Shared On-Demand Mobility Services
  • Application of Machine Learning in Transportation
  • Transportation Systems Simulation
  • Connected and Autonomous Vehicles
  •  On-Demand Goods Delivery 

Leadership Skills

  • President, TMU-ITE student chapter, September 2021 - August 2022.
  • Moderator, Innovative Sessions, ITS Canada 2021 Conference, June 21-22, 2021.
  • Student Supervision (Co-supervised undergraduate and graduate students).
  • Reviewer for International Scientific Journals.
  •  Speaker at University of Cambridge, Martin Centre for Architectural and Urban Studies, January 2021 and June 2022.

Skills

Interpretable Machine Learning Modelling
Advanced Discrete Choice Modelling
Transport Modelling
Programming

In the Media

Recent Publications

The COVID-19 pandemic has significantly influenced all modes of transportation. However, it is still unclear how the pandemic affected the demand for ridesourcing services and whether these effects varied between small towns and large cities .........

N. Alsaleh, B. Farooq (2022)

PLoS ONE

Behavioural Modelling of Automated to Manual Control Transition in Conditionally Automated Driving

Human-vehicle interaction in the presence of automated driving features (ADFs) poses significant challenges in behavioural adaptation. At the current level of automation, the mixed right-of-control of connected and automated vehicle (CAV) ......

S. M. Ansar, N. Alsaleh, B. Farooq (2022)

(Under Review)

Interpretable Data-Driven Demand Modelling for On-Demand Transit Services

In recent years, with the advancements in information and communication technology, different emerging on-demand shared mobility services have been introduced as innovative solutions in the low- density areas, including ...

N. Alsaleh, B. Farooq (2021)

Transportation Research Part A: Policy and Practice

Spatio-Temporal Analysis of On Demand Transit: A Case Study of Belleville, Canada

The rapid increase in the cyber-physical nature of transportation, availability of GPS data, mobile applications, and effective communication technologies have led to the emergence of On-Demand Transit (ODT) systems. In September 2018, the City of Belleville in Canada …

I. Sanaullah (equal contribution) , N. Alsaleh (equal contribution), S. Djavadian, B. Farooq (2021)

Transportation Research Part A: Policy and Practice

Artificial Neural Network (ANN) Approach to Predict LWST Values from Friction and Texture Measurements.

The paper aims to find whether friction values namely skid numbers obtained by the Locked Wheel Skid Trailer (LWST) device can be predicted using values obtained by the Dynamic Friction Tester (DFT) and the Circular Texture Meter (CTM) ..........

M. A. Khasawneh, M. Aljarrah, N. Alsaleh (2021)

International Journal of Engineering and Technology 

On-Demand Transit User Preference Analysis using Hybrid Choice Models

In light of the increasing interest to transform the fixed-route public transit (FRT) services into on-demand transit (ODT) services, there exists a strong need for a comprehensive evaluation of the effects of this shift on the users. Such an analysis can help the …

N. Alsaleh, B. Farooq, Y. Zhang, S. Farber (2021)

(Under Review)

Turbo Roundabout Usage in Lieu of Conventional Roundabouts for the Jordanian Traffic Conditions

The main objective of this study is to check the possibility of upgrading at-grade roundabouts to Turbo roundabouts considering the Jordanian driving conditions. It is also to check how such upgrade is going to affect performance measures of the studied areas including safety …

M. A. Khasawneh, N. Alsaleh (2018)

International Journal of Civil Engineering

Turbo, flower and conventional roundabouts in Jordan

In Jordan, we are looking for an innovative and cost efficient solutions for the poorly functioning at-grade roundabouts; considering the required bulk cost for grade separation or intersections signalization. Thus, the study aims to evaluate the compatibility of applying …

N. Alsaleh, L. Shbeeb (2018)

In Proceedings of 6th Annual international Conference on Architecture and Civil Engineering (ACE 2018)

Evaluation of School Zone Improvement Schemes

This research work focused on the impact of implementing safety measures in the vicinity of school area as part of “safer home-zone” program on driving speed and behavior of both drivers and pedestrians. Demographic characteristics ...

L. Shbeeb, N. Alsaleh (2018)

In Proceedings of 6th Annual international Conference on Architecture and Civil Engineering (ACE 2018)

Experience

Teaching

  1. Graduate Assistant at Toronto Metropolitan University, Ontario

Winter 2020 / Winter 2021

I have been working as a graduate teaching assistant for Transportation Engineering Course for two semesters.

2.  Full-Time Lecturer at Al-Ahliyya Amman            University, Jordan

Oct. 2017 until Sep. 2019 

I have worked as an instructor for the following Civil Engineering courses:

  • Transportation Engineering.

  • Engineering Statistics.

  • Geotechnical Engineering.

  • Geotechnical Engineering Laboratory.

  • Computer Applications in Civil Engineering.

  • Civil Engineering Drawing.

  • Numerical Analysis.

Practical

  1. Traffic Simulator Consultant, Dar Al Omran Company, Jordan

April 2018 until Jan. 2019

I have worked as a Part-time traffic simulator consultant at Irbid City Center Upgrading Project with Dar Al Omran Company

2.  Trainee at Consolidated Contractors      Company (CCC), Qatar

June 2015 until August. 2015

Project: Doha New Port and Container Terminal Project.

Full professional engineering training as a pre-requirement to achieve the B.Sc. degree in Civil Engineering.

3.  Part-Time Lecturer at Al Hussein Technical      University, Jordan

Feb. 2019 until July. 2019 

I have worked as an instructor for the Geotechnical Engineering Course at the School of Construction Technology and Built Environment that follows Pearson BTEC (Business and Technology Education Council) qualifications and standards.

Recent Presentations

On-Demand Transit User Preference Analysis using Hybrid Choice Models

March 9, 2021

Travel Demand Analysis Course, Toronto Metropolitan University

On-Demand Transit User Preference Analysis using Hybrid Choice Models

February 19, 2021

Laboratory of Innovations in Transportation (LiTrans), Toronto Metropolitan University

Spatio-Temporal Demand Modelling for On-Demand Transit Services

January 28, 2021

Applied Urban Modelling Workshop (AUM2020), Martin Centre for Architectural and Urban Studies, University of Cambridge.

  • YouTube

Machine Learning Based Demand Modelling for On-Demand Transit Services

January 26, 2021

Seminar Presentation, Toronto Metropolitan University