Projects: Custom Search |
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| Reference Number | UKRI858 | |
| Title | CRDT-Port: Developing a Crisis and Resilience Digital Twin for UK Port-centric Transport Systems | |
| Status | Started | |
| Energy Categories | Other Cross-Cutting Technologies or Research (Energy system analysis) 10%; Not Energy Related 80%; Other Power and Storage Technologies (Electricity transmission and distribution) 10%; |
|
| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 80%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 20%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 70%; Systems Analysis related to energy R&D (Other Systems Analysis) 30%; |
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| Principal Investigator |
Huan Nguyen Middlesex University |
|
| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 01 April 2025 | |
| End Date | 01 April 2028 | |
| Duration | 36 months | |
| Total Grant Value | £3,629,396 | |
| Industrial Sectors | Unknown | |
| Region | London | |
| Programme | Digital Security and Resilience | |
| Investigators | Principal Investigator | Huan Nguyen , Middlesex University |
| Other Investigator | Babir Barn , Middlesex University Christian Matthews , Liverpool John Moores University Hoang Nguyen , Swansea University Trung Thanh Nguyen , Liverpool John Moores University Qiang Ni , Lancaster University Erkan Oterkus , University of Strathclyde Selda Oterkus , University of Strathclyde Sureshkumar Perinpanayagam , University of York Jun Ren , Liverpool John Moores University Siraj Shaikh , Swansea University Christophe Viavattene , Middlesex University Jin Wang , Liverpool John Moores University David Windridge , Middlesex University Zaili Yang , Liverpool John Moores University |
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| Web Site | ||
| Objectives | ||
| Abstract | The Liverpool City Region (LCR) is a critical hub in the UK’s transport and logistics network, comprising one of the largest ports in the country, extensive multimodal transport systems, and strong connections to both domestic and international markets. The LCR transport cluster includes maritime, road, rail, air, and inland waterway infrastructure, making it an important node for the movement of goods and people. Given its strategic importance, ensuring the resilience of these transport systems against potential crises is essential for maintaining the continuity of national and international supply chains. The proposed project, CRDT-Port, aims to enhance the resilience and operational efficiency of these critical infrastructures. By focusing on the LCR as a primary case study, the project seeks to develop a digital twin framework that can be scaled and adapted to other port-centric regions across the UK. The LCR transport cluster faces multiple risks that could significantly disrupt transport operations and supply chains. These risks include severe weather events, infrastructure failures, cyber-attacks, public disorders, and global supply chain interruptions. The complexity and interconnectivity of these transport systems mean that disruptions in one area can have cascading effects across the entire network, impacting both the regional and national economies. Traditional methods of managing these risks are often reactive and lack the predictive capabilities needed to anticipate and mitigate disruptions effectively. The challenge lies in developing a comprehensive and proactive approach that can integrate diverse data sources, model complex scenarios, and provide real-time decision support to stakeholders during crises. The CRDT-Port project aims to develop a DT tailored specifically for the LCR transport cluster, with potential applications in other port-centric regions in the UK. The project will integrate real-time data from multiple sources, including maritime traffic, road and rail networks, weather conditions, and logistics data, to create a detailed and dynamic representation of the transport systems. It will also develop models that simulate potential crisis scenarios, such as extreme weather events, infrastructure failures, cyber-attacks, and supply chain disruptions. These simulations will evaluate various mitigation strategies and provide real-time decision support for crisis management. Another objective is to enable seamless collaboration between different systems and stakeholders (energy, telecommunications, electricity), ensuring that the DT supports secure, real-time decision-making during crises. Our target is to design the DT framework to be scalable, allowing it to be applied to other UK ports and national infrastructure nodes. The CRDT-Port project offers significant benefits for both the LCR and the broader UK transport network, as well as other sectors. It will enable stakeholders to anticipate and prepare for disruptions, minimising their impact on transport operations and supply chains. By providing real-time data and predictive insights, the CRDT will enhance decision-making during crises, helping stakeholders respond more effectively and reducing the risk of prolonged disruptions. While initially focused on the LCR, the scalable framework will be applicable to other port-centric systems across the UK, contributing to a more resilient national transport infrastructure. This project will protect the economic activities linked to the LCR, ensuring the UK's strong position in global trade, and establishing the UK as a leader in digital twin applications for infrastructure resilience | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 29/10/25 | |