Assessment of the testing results in the Case Study of Greater Manchester
Creators: name: Tune, Hannah
name: Watts, David
name: Tristant, Lucie
name: Grassi, Marco
name: Comerio, Marco
name: Scrocca, Mario
name: Chalkiadakis, Charis
name: Giouroukelis, Marios
name: Tympakianaki, Athina
name: Vanderhoydonc, Ynte
name: Rahimiasl, Mohammadmahdi
name: Ghosh, Arka
name: Masegosa, Antonio D.
Publisher: name: Zenodo
Year: 2024
Subjects: subject: Multimodal
subject: Data integration
subject: Traffic management
subject: Simulation
subject: Simulation software
subject: Future development
subject: Operational strategies

description: Greater Manchester (GM) is a large city region in the North West of England with 2.73 million residents across 1,276 square kilometres. GM is the UK’s first combined authority (GMCA), bringing together 10 local authorities to address strategic challenges. With over 2.1 billion journeys annually, including 268 million by public transport, GM faces issues such as congestion, air quality, and heavy reliance on private vehicles. Transport for Greater Manchester (TfGM) plays a central role in managing the city's multimodal transport network and is delivering the transition to the Bee Network, an integrated transport system.As a case study in the TANGENT project, Greater Manchester focused on improving the management of its multi-modal transport system. Three TANGENT services were tested. Service 1, an enhanced multimodal information service, consolidated real-time data (e.g., from Waze, buses) into a unified dashboard to improve network visibility. Service 2 focused on synchronising public transport and traffic control systems, offering potential benefits for incident management, particularly in anticipation of the Bus Franchising model being fully implemented by 2025. Service 3 tested the simulation of scenarios like increasing bus frequency and optimising the network for connected vehicles, aligning with TfGM's vision for future transport strategies.The testing of TANGENT’s tools helped TfGM assess the benefits of data sharing and multimodal coordination. The case study targeted key transport corridors and events (e.g., football matches and concerts), enabling TfGM to better manage the impacts on the network. The project also reinforced the importance of high-quality, real-time data and a collaborative approach to traffic management.Moving forward, TfGM sees the potential to integrate TANGENT's tools into their existing systems, contributing to a future operational strategy that enhances predictive capabilities and multimodal traffic management across Greater Manchester.The remainder of this deliverable will provide a detailed overview of the methodology employed during the testing activities within the TfGM case study. It will present the results of these tests, focusing on the use of TANGENT’s tools in a live operational environment, and highlight specific challenges encountered, such as data integration. Additionally, the deliverable will explore the lessons learned from the project, particularly in relation to multi-actor collaboration, the availability of data, and the benefits of simulating transport scenarios. Finally, it will outline TfGM’s next steps, including how these findings will inform the future development of traffic management systems and operational strategies in Greater Manchester.