The challenge is now finished. Go to challenges of the new CityMakers edition.
New cars generate a lot of data, and most of it have not yet found an application. Except for real-time car usage optimization, not many services have been proposed: we want to do more!
While car manufacturers are rapidly building means to collect and store car-generated data there is still a significant need to step-up data management capabilities in terms of: data preparation, data analysis with application of advanced big data analytics techniques to extract valuable insights, and value delivery, deploying data driven products and services. Already established teams with advanced data analytics capabilities may help OEMs (Original Equipment Manufacturers) to bridge this gap while enabling business opportunities for themselves.
The partners on this challenge hope to offer tailor-made services to the urban drivers in order to increase the value proposition of having a car, as well as tools to make the most of it in an urban environment.
The City of Paris may gain critical knowledge about its streets and their uses, as well as potential traffic optimizations. This will be especially important in the years to come to adapt its policies towards cars and atmospheric pollution.
Experiments on this challenge are rather open-ended, so we will expect input from the applying startups. We have had some ideas, but we are waiting for yours. For example here are some leads :
The experimentation could be about the optimization of mobility patterns. The partners have data on how drivers use their cars, and we all have access to real-time traffic knowledge, but there is no insight on longer periods of time. Data may be able to tell how you can optimize your driving habits, to combine your car with another means of transportation for your daily commute, or to leave your car at a special place to save money. It might also suggest car that fits best to your regular transportation needs .
Open data sources about urban areas such as Paris can be used to maximise the innovation potential : incidentology, topography, construction sites, parking spaces, urban furniture, and so much more ... they all add up to give us a better understanding of our environment.
Is there a way to optimize mobility patterns for a single person, for a family, or even for a neighbourhood? Could we offer services telling you how to travel safer rather than faster? We believe so! It is definitely a big data challenge and the experimentation field is Paris, its suburbs and maybe even further. It is with the power of private and public data sets that we can tackle tomorrow’s mobility challenges.
Nissan : Getting value from collected and unused data. Finding a way to move from products to services, from cars to mobility. Develop relevant Customer Centric value propositions leveraging car-generated data.
RCI Bank and Services : Helping the car manufacturers move towards a service business by being the platform for their innovations.
Startup : Test and refine big data, machine learning, artificial intelligence tools and services based on actual car manufacturer data. Possible business partnership to provide the results to the end-users.
Data generated by Nissan cars:
Nissan can provide access to data generated by electric cars in Europe equipped with TCU (telematics control unit). Data is available for last 30 calendar days.
All data provided will be anonymized: VIN numbers or any other vehicle or personal identification information will not be provided or will be replaced with dummy data.
Data sets will include:
Tracking data - GPS time, positioning, vehicle speed, acceleration, mileage, battery charge, tyre pressure
Journey data - Start/stop date and time, mileage covered, idling time, warm-up time, aggregated speed and acceleration data, use of on-board equipment (ex. air conditioning), air temperature etc.
Status data - Diagnostics errors from various control units
Opportunity to equip other Nissan cars with TCU or OBD dongle to obtain more data to be studied further.
Paris City Hall datas :
Parking datas : https://opendata.paris.fr/explore/?sort=modified&q=stationnement
- Dmitry Baykin, Innovation Lab Manager, Nissan
- Benjamin Honnorat, Business Development Manager Mobility, RCI Bank and Services