Outputs (142)

Multiagent Deep-Reinforcement-Learning-Based Cooperative Perception and Computation in VEC (2025)
Journal Article
Zhao, L., Li, L., Tan, Z., Hawbani, A., He, Q., & Liu, Z. (2025). Multiagent Deep-Reinforcement-Learning-Based Cooperative Perception and Computation in VEC. IEEE Internet of Things Journal, 12(12), 21350-21363. https://doi.org/10.1109/jiot.2025.3546915

Connected and autonomous vehicles (CAVs) are an important paradigm of intelligent transportation systems. Cooperative perception (CP) and vehicular edge computing (VEC) enhance CAVs’ perception capacity of the region of interest (RoI) while alleviati... Read More about Multiagent Deep-Reinforcement-Learning-Based Cooperative Perception and Computation in VEC.

A Multi-UAV Cooperative Task Scheduling in Dynamic Environments: Throughput Maximization (2024)
Journal Article
Zhao, L., Li, S., Tan, Z., Hawbani, A., Timotheou, S., & Yu, K. (2025). A Multi-UAV Cooperative Task Scheduling in Dynamic Environments: Throughput Maximization. IEEE Transactions on Computers, 74(2), 442 - 454. https://doi.org/10.1109/tc.2024.3483636

Unmanned aerial vehicle (UAV) has been considered a promising technology for advancing terrestrial mobile computing in the dynamic environment. In this research field, throughput, the number of completed tasks and latency are critical evaluation indi... Read More about A Multi-UAV Cooperative Task Scheduling in Dynamic Environments: Throughput Maximization.

Wireless Power Transfer Technologies, Applications, and Future Trends: A Review (2024)
Journal Article
Alabsi, A., Hawbani, A., Wang, X., Al-Dubai, A., Hu, J., Aziz, S. A., Kumar, S., Zhao, L., Shvetsov, A. V., & Alsamhi, S. H. (2025). Wireless Power Transfer Technologies, Applications, and Future Trends: A Review. IEEE Transactions on Sustainable Computing, 10(1), 1-17. https://doi.org/10.1109/TSUSC.2024.3380607

Wireless Power Transfer (WPT) is a disruptive technology that allows wireless energy provisioning for energy- limited IoT devices, thus decreasing the over-reliance on batteries and wires. WPT could replace conventional energy provisioning (e.g., ene... Read More about Wireless Power Transfer Technologies, Applications, and Future Trends: A Review.

Interface Project Hindsight Vision - Seeing Safer Cycling. Company Report (2023)
Report
Bossi, A. H., Campbell, T., Brown, S., & Florida-James, G. Interface Project Hindsight Vision - Seeing Safer Cycling. Company Report. Hindsight Vision

Use and operational safety (2023)
Book Chapter
Reed, N., Charisis, V., & Cowper, S. (2023). Use and operational safety. In D. Ventriglia, & M. Kahl (Eds.), FISITA Intelligent Safety White Paper – The Safety of Electro-Mobility: Expert considerations on the Safety of an Electric Vehicle from concept through end of life (107-111). FISITA

Whether you are an individual buying your first car or replacing an existing vehicle, or if you are a fleet manager making vehicle purchase decisions on behalf of a company, the acquisition of a car is usually a highly significant purchase. Increasi... Read More about Use and operational safety.

The EUACCEL project at Edinburgh Napier University: building effective cross-discipline teams to explore low carbon enterprise ideas (2023)
Book Chapter
Cramphorn, C., Brodie, J., & Fannin, N. (2023). The EUACCEL project at Edinburgh Napier University: building effective cross-discipline teams to explore low carbon enterprise ideas. In S. Norton, & L. Sear (Eds.), Embedding enterprise and entrepreneurship in higher education: An Advance HE case study collection (18-25). Advance HE

Factors influencing e-cargo bike mode choice for small businesses (2023)
Journal Article
Malik, F. A., Egan, R., Dowling, C. M., & Caulfield, B. (2023). Factors influencing e-cargo bike mode choice for small businesses. Renewable and Sustainable Energy Reviews, 178, Article 113253. https://doi.org/10.1016/j.rser.2023.113253

As a viable alternative to traditional and electric cars and vans, e-cargo bikes have the potential to improve the sustainability of urban logistics operations, particularly for last-mile deliveries. In this study, e-cargo bike trips are modelled fro... Read More about Factors influencing e-cargo bike mode choice for small businesses.

Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging (2022)
Journal Article
Ahmad, A., Khalid, M., Ullah, Z., Ahmad, N., Aljaidi, M., Malik, F. A., & Manzoor, U. (2022). Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging. Energies, 15(24), Article 9471. https://doi.org/10.3390/en15249471

The rise of the intelligent, local charging facilitation and environmentally friendly aspects of electric vehicles (EVs) has grabbed the attention of many end-users. However, there are still numerous challenges faced by researchers trying to put EVs... Read More about Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging.

Servitization Through VR Serious Games: From Manufacturing to Consumer Electronics (2022)
Presentation / Conference Contribution
Charissis, V., Khan, M. S., & Harrison, D. K. (2022, June). Servitization Through VR Serious Games: From Manufacturing to Consumer Electronics. Presented at 24th International Conference on Human-Computer Interaction (HCII 2022), Online

The provision of services instead of the actual products is becoming a major area of interest for the products provision companies involved in the manufacturing, electronics and construction industries amongst others. Current work in the disseminatio... Read More about Servitization Through VR Serious Games: From Manufacturing to Consumer Electronics.

Intelligent Real-Time Modelling of Rider Personal Attributes for Safe Last-Mile Delivery to Provide Mobility as a Service (2022)
Journal Article
Malik, F. A., Dala, L., Khalid, M., & Busawon, K. (2022). Intelligent Real-Time Modelling of Rider Personal Attributes for Safe Last-Mile Delivery to Provide Mobility as a Service. Applied Sciences, 12(20), Article 10643. https://doi.org/10.3390/app122010643

This paper develops an intelligent real-time learning framework for the last-mile delivery of mobility as a service in city planning, based upon safe infrastructure use. Through a hybrid approach integrating statistics and supervised machine learning... Read More about Intelligent Real-Time Modelling of Rider Personal Attributes for Safe Last-Mile Delivery to Provide Mobility as a Service.

Evaluation Mechanism for Decentralised Collaborative Pattern Learning in Heterogeneous Vehicular Networks (2022)
Journal Article
Qiao, C., Qiu, J., Tan, Z., Min, G., Zomaya, A. Y., & Tian, Z. (2023). Evaluation Mechanism for Decentralised Collaborative Pattern Learning in Heterogeneous Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, 24(11), 13123 - 13132. https://doi.org/10.1109/TITS.2022.3186630

Collaborative machine learning, especially Feder-ated Learning (FL), is widely used to build high-quality Machine Learning (ML) models in the Internet of Vehicles (IoV). In this paper, we study the performance evaluation problem in an inherently hete... Read More about Evaluation Mechanism for Decentralised Collaborative Pattern Learning in Heterogeneous Vehicular Networks.

The Impact Of COVID-19 On Future Public Transport Use In Scotland (2022)
Journal Article
Downey, L., Fonzone, A., Fountas, G., & Semple, T. (2022). The Impact Of COVID-19 On Future Public Transport Use In Scotland. Transportation Research Part A: Policy and Practice, 163, 338-352. https://doi.org/10.1016/j.tra.2022.06.005

This paper examines the determinants of changes in future public transport use in Scotland after the COVID-19 pandemic. An online questionnaire was distributed to 994 Scottish residents in order to identify travel habits, attitudes and preferences du... Read More about The Impact Of COVID-19 On Future Public Transport Use In Scotland.

Real-Time Nanoscopic Rider Safety System for Smart and Green Mobility Based upon Varied Infrastructure Parameters (2021)
Journal Article
Malik, F. A., Dala, L., & Busawon, K. (2022). Real-Time Nanoscopic Rider Safety System for Smart and Green Mobility Based upon Varied Infrastructure Parameters. Future Internet, 14(1), Article 9. https://doi.org/10.3390/fi14010009

To create a safe bicycle infrastructure system, this article develops an intelligent embedded learning system using a combination of deep neural networks. The learning system is used as a case study in the Northumbria region in England’s northeast. I... Read More about Real-Time Nanoscopic Rider Safety System for Smart and Green Mobility Based upon Varied Infrastructure Parameters.

The impact of public-private partnerships for roadway projects on traffic safety: An exploratory empirical analysis of crash frequencies (2021)
Journal Article
Sonduru Pantangi, S., Fountas, G., Tawfiq Sarwar, M., Bhargava, A., Mohan, S. B., Savolainen, P., & Ch. Anastasopoulos, P. (2022). The impact of public-private partnerships for roadway projects on traffic safety: An exploratory empirical analysis of crash frequencies. Analytic Methods in Accident Research, 33, Article 100192. https://doi.org/10.1016/j.amar.2021.100192

Since the mid-2000s, Public-Private Partnerships (PPP) have been established in transportation infrastructure projects as an effective alternative to the traditional procurement process, such as design-bid-build where the design and construction are... Read More about The impact of public-private partnerships for roadway projects on traffic safety: An exploratory empirical analysis of crash frequencies.

Intelligent nanoscopic road safety model for cycling infrastructure (2021)
Presentation / Conference Contribution
Malik, F. A., Dala, L., & Busawon, K. (2021, June). Intelligent nanoscopic road safety model for cycling infrastructure. Presented at 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Heraklion, Greece

This paper is concerned with the development of an intelligent nanoscopic safety model for cycling safety. The present models are primarily focused on motorists modelling at an aggregate level. In this work, a framework for safety analysis is propose... Read More about Intelligent nanoscopic road safety model for cycling infrastructure.

Intelligent Nanoscopic Cyclist Crash Modelling for Variable Environmental Conditions (2021)
Journal Article
Malik, F. A., Dala, L., & Busawon, K. (2022). Intelligent Nanoscopic Cyclist Crash Modelling for Variable Environmental Conditions. IEEE Transactions on Intelligent Transportation Systems, 23(8), 11178-11189. https://doi.org/10.1109/tits.2021.3101118

A cyclist is a vulnerable road user whose interaction with the road infrastructure depends on several factors, including variable environmental conditions of lighting and meteorological road surface. This paper is concerned with nanoscopic crash mode... Read More about Intelligent Nanoscopic Cyclist Crash Modelling for Variable Environmental Conditions.

Intelligent cyclist modelling of personal attribute and road environment conditions to predict the riskiest road infrastructure type (2021)
Presentation / Conference Contribution
Malik, F. A., Dala, L., & Busawon, K. (2021, July). Intelligent cyclist modelling of personal attribute and road environment conditions to predict the riskiest road infrastructure type. Paper presented at The 19th Annual Transport Practitioners' Meeting, Online

Infrastructure selection, design and planning play a pivotal role in creating a safe travel environment for road users, especially the vulnerable road user. In this work, it is aimed to develop a predictive intelligent safety model for the riskiest c... Read More about Intelligent cyclist modelling of personal attribute and road environment conditions to predict the riskiest road infrastructure type.

Are We Willing to Relocate with the Future Introduction of Flying Cars? An Exploratory Empirical Analysis of Public Perceptions in the United States (2021)
Journal Article
Ahmed, S. S., Fountas, G., Eker, U., & Anastasopoulos, P. C. (2022). Are We Willing to Relocate with the Future Introduction of Flying Cars? An Exploratory Empirical Analysis of Public Perceptions in the United States. Transportmetrica A: Transport Science, 18(3), 1025-1052. https://doi.org/10.1080/23249935.2021.1916643

Flying cars, a new transportation mode capable of operating on both land and air, are expected to be introduced in the existing traffic fleet over the next decade or so. Due to their potential in offering flexible mobility patterns, as well as shorte... Read More about Are We Willing to Relocate with the Future Introduction of Flying Cars? An Exploratory Empirical Analysis of Public Perceptions in the United States.

Modelling transport emission of an out of town centre to achieve emission reduction targets (2021)
Presentation / Conference Contribution
Malik, F. A., Bell, M., Dala, L., & Busawon, K. (2021, March). Modelling transport emission of an out of town centre to achieve emission reduction targets. Presented at 2021 6th International Symposium on Environment-Friendly Energies and Applications (EFEA), Sofia, Bulgaria

Transportation negatively affects the environment due to a high carbon footprint associated with travel. In this paper, we estimate the commuter travel emissions of an out-of-town centre and evaluate the modelled emission against the targets set out... Read More about Modelling transport emission of an out of town centre to achieve emission reduction targets.

Designing Interaction and Interfaces for Automated Vehicles: User-Centred Ecological Design and Testing (2021)
Book
Stanton, N. A., Revell, K. M. A., & Langdon, P. (Eds.). (2021). Designing Interaction and Interfaces for Automated Vehicles: User-Centred Ecological Design and Testing. CRC Press. https://doi.org/10.1201/9781003050841

Driving automation and autonomy are already upon us and the problems that were predicted twenty years ago are beginning to appear. These problems include shortfalls in expected benefits, equipment unreliability, driver skill fade, and error-inducing... Read More about Designing Interaction and Interfaces for Automated Vehicles: User-Centred Ecological Design and Testing.