Intelligent Transport Systems


Intelligent Transport Systems (ITS) is weaving traditionally standalone vehicles into connected vehicular communication networks and enables the utilisation of generated information and advanced sensing, communication and computing technologies to increase transport safety and tackle the growing emission and congestion problems. New services and business models will be created by the evolution of transport digitalisation and ITS, to enrich our life and motivate the growth of the economy.

The ITS area focuses on the research and innovation in delivering the Cooperative-ITS, which is also known as Vehicle-to-Everything (V2X) communication and has been regarded as the cornerstone for next-generation ITS solutions. Within this area, our research on ITS concentrate on software-defined radio, service and resource management, application for traffic efficiency and safety, and cybersecurity, which have covered most of the protocol stack of V2X from the physical layer to the application layer. The research work in these domains and our solid background in ICT provide us with a comprehensive understanding of ITS and drive us to deliver innovative ITS solutions. Besides, the latest progress in edge computing and 5G has also been considered and applied to ensure our prospective position.

V2X is based on the sharing of data between vehicles, infrastructure and other road users. The trustworthiness of this data, and of the vehicles that provide it to others, is of critical importance. For example, in the case of cooperative driving, data that is either withheld, or deliberately false, could have fatal consequences. Consequently, it is necessary to model how trust relationships are set up, how they can change over time, and how to recognize which trust actors should no longer be trusted. Our research is leading to a distributed, relationship-based trust model which considers the context of each vehicle.

Another aspect of ITS is the use of ICT to collect and managed public transport trip request data and to use this data to predict demand (in terms of pickup and dropoff locations and pickup time) for such trips in the future. Integrated and responsive transport solutions will offer more passenger convenience, greater operational efficiencies for transport operators, and lower carbon emissions as fewer journeys are made in private cars, in support of the move towards smart cities. Our research has led to a robust probabilistic model of trip demand and a prototype implementation of this model. The sponsoring company has taken out an evaluation licence for this, as they consider whether and how to integrate it into their workflows.

In all, the ultimate purpose of our research in ITS is to deliver faster, more connected and reliable vehicular networks, which enable the realisation of smarter, safer and greener mobility.

Martin Tolan

Technical Lead of MEPS Research Division, Work Package Lead of TransSec

Dr. Bernard Butler

Senior Research Fellow, (Acting) Manager of ENL Research Division.

Frances Cleary

Manager of MEPS Research Division.

Dr. Ruisong Han

Postdoctoral Researcher, Work Package Lead of TransSec

Kanika Sharma

PhD Student on the AMEND Targeted project of the CONNECT centre.

Genaro Longoria

PhD Student on the Ramble Targeted project of the CONNECT centre.

Adnan Mahmood

External PhD Student on the AMEND Targeted project of the CONNECT centre.

Nithin Padmaprabhu

Experienced Software Developer

Ryan McCloskey

Junior Software Developer


All TSSG projects related to Intelligent Transport Systems



Intelligent traffic control system

TransSec mid-term review 2019
European Transport Conference, 2019
Toys4Engineers, 2019
Amplitude – Disruptive Innovation, 2019
Lyrath, Kilkenny

TransSec demo videos

Vehicle-To-Vehicle (V2V) Communications Demo 2019,

TransSec Project Radio Interview

V2V Evacuation 2019

Talk Radio Europe (TRE) – Live in Eire

V2P Simulation 2019

M. T. Barros et al., "CogITS: Cognition-enabled network management for 5G V2X Communication," IET Intelligent Transport Systems, vol. 14, no. 3, pp. 182-189, 2020.
A. Mahmood, B. Butler, Q. Z. Sheng, W. E. Zhang, and B. Jennings, "Need of ambient intelligence for next-generation connected and autonomous vehicles," in Guide to Ambient Intelligence in the IoT Environment: Springer, 2019, pp. 133-151.
A. Mahmood, B. Butler, W. E. Zhang, Q. Z. Sheng, and S. A. Siddiqui, "A Hybrid Trust Management Heuristic for VANETs," in 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2019, pp. 748-752.
R. Han, M. Tolan, R. McCloskey, and F. Cleary, “A novel emergency evacuation algorithm for vehicles based on vehicle-to-vehicle (V2V) communication”, in Proc. European Transport Conference 2019, 2019. [Online]. Available:
A. Mahmood, B. Butler, and B. Jennings, "Towards efficient network resource management in SDN-based heterogeneous vehicular networks," in 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), 2018, vol. 1, pp. 813-814.
A. Mahmood, B. Butler, and B. Jennings, "Potential of Augmented Reality for Intelligent Transportation Systems," in Encyclopedia of Computer Graphics and Games, N. Lee, Ed. Cham: Springer International Publishing, 2018, pp. 1-7.
K. Sharma, B. Butler, B. Jennings, J. Kennedy, and R. Loomba, "Optimizing the Placement of Data Collection Services on Vehicle Clusters," in Proc. 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2018, pp. 1800-1806.
N. Padmaprabhu, M. Tolan, R. McCloskey, and F. Cleary, “Autonomous Emergency Manoeuvring & Movement Monitoring for Road Transport Security – TransSec”, in Proc. European Transport Conference 2018, 2018. [Online]. Available:
N. Padmaprabhu, S. Davy, and F. Cleary, “A GPS Cloud-Based IoT Solution for Emergency Vehicles to bypass Traffic,” in Proc. European Transport Conference 2018, 2018. [Online]. Available:
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