Bani Anvari
Personalising urban commuting for better health

Bani Anvari

Lecturer in Intelligent Mobility University College London, UK

AI-TraWell

Supported by:

EIT Urban Mobility The EIT Urban Mobility is supported by the EIT, a body of the European Union

Generated funding

EUR 1 558 756

Aim

To provide personalised healthy commuting alternatives to urban citizens.

Partners

Open & Agile Smart Cities, the cities of Copenhagen, Istanbul, Lublin and Munich, Achmea, Gehl Architects, ISBAK, Münchner Verkehrs- und Tarifverbund, TomTom, Eindhoven University of Technology, Fraunhofer Society, University College London.

Main product

AI-TraWell

The Project

  • The idea

    AI-TraWell is an AI-powered, proactive chatbot for smartphone devices to recommend personalised travel alternatives that fit travellers’ needs and preferences and promote long-term health and wellbeing for all citizens living or moving within our cities.

  • Inspiration

    Living in London, I witness every day how people struggle with daily frustrations, including overcrowded streets, congested and lengthy urban commutes, uncomfortable temperatures, anti-social behaviour, overcrowding, unreliability, and delays. I wanted to find a constructive solution.

  • Unique selling points

    AI-TraWell encourages people to share these subjective personal attributes when moving within the city (e.g., when reaching or changing between mobility services). It provides interactive and personalised multi-modal navigation that positively affects user health and delivers incentive strategies to promote positive behavioural change.

  • Societal impact

    The solution improves the physical and mental health of travellers and citizens. It reduces exposure to highly polluted areas and decreases congestion and overcrowding in existing mobility services, thereby contributing to urban growth management and more inclusive societies.

  • EIT Community support

    Thanks to the EIT Community, we enhanced our solution through collaborative work with industrial partners, gained knowledge of the effect of cultural differences’ on mobility choices, validated our methods through case studies in various cities to foster scalability, and accessed data through building research partnerships.

AI-TraWell

The Nominee

  • The beginning

    Being involved in EIT Urban Mobility, I saw a great opportunity to work with cities on a solution to tackle the mobility challenges I experienced in London each day.

  • Partnerships & Teamwork

    OASC is responsible for the co-creation of the solution through citizen engagement. The cities of Copenhagen, Istanbul, Lublin, and Munich help us with pilot studies, data collection and extension strategies. Gehl architects provide environmental insights to build our travel strategies. ISBAK and IMM work on large-scale implementation through integration in mobility apps, while MVV, TomTom, TU/e, Fraunhofer IML, and UCL help us develop models with greater insight, data and feedback. The AI-TraWell consortium was strategically formed to reflect all disciplines crucial to delivering our solution in an effective way.

  • Rewarding moments

    From forming a small consortium and being chosen as one of the first EIT Urban Mobility BP2020 projects, to receiving a lot of interest in the project and being nominated for this award, the entire AI-TraWell journey has been extremely rewarding.

The consortium was strategically formed to reflect all disciplines crucial to delivering our solution in an effective way.