Faculty/School

Faculty of Science

School of Information Systems

Topic status

We're looking for students to study this topic.

Research centre

Supervisors

Dr Kenan Degirmenci
Position
Lecturer in Information Systems
Division / Faculty
Faculty of Science

Overview

The internet of vehicles (IoV) plays an important role in the internet of things (IoT) value system. IoV enables vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications through enhanced connectivity and data-driven decision-making. However, given the importance of energy infrastructures in IoV systems (Shen et al., 2021), the role of energy demand behaviours is yet overlooked.

In the context of electric vehicles as low-emission consumer energy resources (Degirmenci & Breitner, 2017), V2V and V2I networks improve the communication with other vehicles and charging stations for optimized charging rates and times, grid load balancing, and renewable energy integration (Fescioglu-Unver & Aktaş, 2023).

In this project, we analyse patterns and variations in how individuals and organisations consume energy in IoV systems, and we further investigate IoV service innovation, trust, and value co-creation between producers, distributors, and consumers in energy ecosystems.

References

  • Degirmenci, K., & Breitner, M. H. (2017). Consumer purchase intentions for electric vehicles: Is green more important than price and range? Transportation Research Part D: Transport and Environment, 51, 250-260. https://doi.org/10.1016/j.trd.2017.01.001
  • Fescioglu-Unver, N., & Aktaş, M. Y. (2023). Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing. Renewable and Sustainable Energy Reviews, 188, 1-16. https://doi.org/10.1016/j.rser.2023.113873
  • Shen, X., Yu, H., Liu, X., Bin, Q., Luhach, A. K., & Saravanan, V. (2021). The optimized energy-efficient sensible edge processing model for the internet of vehicles in smart cities. Sustainable Energy Technologies and Assessments, 47, 1-9. https://doi.org/10.1016/j.seta.2021.101477

Start date

15 November, 2024

End date

15 February, 2025

Location

QUT Gardens Point Campus, Y Block

Keywords

Contact

Contact the supervisor for more information.