Data & Connectivity

Stage2 -17/10, 10AM-2PM
Discussion Program


10h – 10h20 :
10h25 – 11h : Flow analysis and mobility diagnostics in the era of Smart cities and the GDPR
11h05 – 11h25 : Dynamic traffic optimization with unique collaborative routing approach
11h30 – 11h50 :
11h55 – 12h30 : MaaS eco systems – Driving forces, value creation, roles and platforms
12h35 – 13h10 : The race for a universal multimodal application: a single platform to reserve, pay and travel.
13h15 – 13h50 : Ensuring better real-time information for travellers and operators.
13h55 – 14h15 : How Light Electric Vehicle sharing is taking over the world? How do we connect these increasingly large fleets?
14h20 – 14h55 : Infrastructures and connected vehicles in order to ensure better travel safety
15h – 15h35 : Shaping the future of Connected Car – views from corps, investors and startups world
15h40 – 16h : Which communication networks can be used to ensure fast and reliable connectivity?
16h05 – 16h40 :
16h45 – 17h20 :



Providing reliable data and fast communication networks to pave the way for MaaS and smart cities.

Sharing data to develop intelligence

Public and private mobility players must shift to open data policies for Mobility as a Service (MaaS) to thrive. In addition, Smart Cities will increasingly need faster networks and more accurate data in order to develop cleaner and safer mobility.

Cities are rich in traffic data but how can they transform this data into effective transport management tools?




Key Stats



Transport for London adopted an open data policy which releases all TfL-generated data for free to third party apps and service providers.

The policy has saved both passengers and authorities an estimated

million euros


and has cut down on the commuting time of the passenger.



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