Study level

  • PhD
  • Master of Philosophy
  • Honours
  • Vacation research experience scheme

Faculty/School

Faculty of Science

School of Information Systems

Topic status

We're looking for students to study this topic.

Research centre

Centre for Data Science

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

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