Research project

User Trust in Mobility-as-a-Service IoT Ecosystem (UMIS)

Project overview

The UMIS project investigated mechanisms for increasing user trust in Mobility-as-a-Service (MaaS) in an Internet of Things (IoT) ecosystem for next-generation transportation-systems.
IoT-enabled MaaS systems bring together multiple transport networks and services into a single cohesive user experience enabling citizens to use multiple modes of transport to find and complete their journeys. For a user to plan a journey, they will need to provide their travel plans (to the MaaS), and to make a journey they will need to supply payment credentials.
At the same time, end-users also need to consume data from the system.
Collaborative sharing and linking of safe, useful data between different stakeholders under secure and rights-respecting conditions will be vital for building a trustworthy process and making the service highly trusted.

Effective, appropriate, secure and privacy-preserving data usage, sharing, and re-usage requires well-defined data governance roles and processes.

This project aimed to create a data governance framework that is by-design trustworthy and compliant with UK data protection law facilitating legal and ethical data reusage between MaaS stakeholders.

The project developed models used to protect privacy of user data especially during data analytics, inferencing and exchange, resulting in a Privacy-preserving and Privacy-enhancing model for data governance for next-generation transportation systems.

Staff

Lead researchers

Gary Wills PhD, CEng, FHEA, MIET

Research interests

  • Internet of Things (IoT),
  • Data Protection,
  • Information Assurance,
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Other researchers

Professor Tom Cherrett

Prof of Logistics and Transport Mgnment

Research interests

  • Understanding and improving the distribution of goods and the management of freight vehicles in urban areas, including the supply of goods to hospitals and the use of consolidation centres; 
  • How optimisation techniques can be used to improve system efficiency and in what ways Intelligent Transport Systems (smart tagging of assets and the use of smartphones) can improve operating efficiency; 
  • Approaches to more effectively collect and manage the movement of waste in terms of both household domestic waste collection strategies, Household Waste Recycling Centre (HWRC) management and joint domestic/commercial waste collection strategies. He has worked on a number of research projects in these specific areas: (Department for Transport grant PPAD 9/142/034, ‘Optimising vehicles undertaking waste collections' GR/S79626/01, SUE project 55 ‘Transport and Logistics'; EP/D043328/1, ‘Green Logistics'.
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Collaborating research institutes, centres and groups

Research outputs