Tarek OTHMANI

PhD student

Name : Tarek OTHMANI

Assignment establishment : ENIM

Email : othmanitarek0@gmail.com

Level: 3

Orcid : 0009-0002-5393-3739

Biography

As a PhD student in energy, transport, and logistics, I have expertise in optimizing sustainable transport networks and improving energy efficiency. My research-driven approach integrates advanced methodologies with practical applications to effectively address the complex challenges of these interconnected fields.

With a strong focus on improving sustainability and reducing environmental impact, I am excellent at advanced modeling, data analysis, and simulation tools to optimize transportation systems, streamline logistics operations, and promote efficient use of energy.

To find a dynamic role that allows me to make a real difference, I am determined to make a positive change in transportation and energy management. Through the application of my analytical skills, research acumen, and unwavering commitment to sustainability, I am committed to shaping a future characterized by increased sustainability, efficiency, and innovative solutions.

  • Novembre 2022- Enrolled in a joint PhD at LESTE laboratory 

  • 2020-2022: Master degree in Technology and Engineering of Transport, ISTL Sousse, Tunisia.

  • 2017-2020: Bachelor’s in Technology and Engineering of Transport, ISTL Sousse, Tunisia.

  • 2017: Baccalaureate in Tenology Sciences, Sousse, Tunisia

Activities

THESIS

Title: Smart Cities: The Next Generation of Energy Transition and the Role of Intelligent Transportation Systems for a Sustainable Development.

Supervisors: Professor Souheil EL ALIMI (LESTE- ENIM) 

Date of first enrollement :  December 2022

Topic: The thesis focuses on highlighting the importance of smart cities as the next step in the energy transition. For a sustainable development case study, we perform a simulation that simulates the real ordinary city and replace it with a smart one based on ITS using the simulation tool “SUMO” (Simulation of Urban Mobility). We also switch between static, actuated, and adaptive traffic lights. All of that, in order to increase the influence of traffic regulation strategies. We also study the influence of the green light time on traffic conditions. We aim to reduce energy consumption, emissions, average waiting time, and queue length in the cities. while also reviewing the influence of electrical vehicles on both energy consumption and emissions and how their energy behavior is influenced by dynamic green light. So the thesis focuses on:

  • Highlighting the influence of smart cities as an essential tool for an energy transition for city decarbonization and pollution reduction.
  • Development of a vehicle detection, classification, and tracking simulation using Simulation of Urban MObility (SUMO) on the traffic network.
  • Comparing between a conventional and a smart city and also between static and dynamic traffic lights.
  • Highlighting the influence of traffic lights for both cities and especially for the smart one on queue lengths, energy consumption, and emissions.
  • Estimating fuel consumption and emissions for each vehicle type based on its own speed.
  • Highlighting the influence of electrical vehicles on queue lengths, energy consumption, and emissions.
  • Highlighting the influence of traffic light regulation strategies on electric vehicles.