Providers of mobility and parking data and associated data use cases

Raphael Jatteau


Table of contents

Cocoparks develops and deploys the benchmark solution for intelligent traffic and parking management


The judicious use of data in mobility and parking management enables cities to adopt a smarter, more sustainable approach to urban mobility. This contributes to improving the quality of life of citizens and the economic efficiency of the city.

Mobility and parking data use cases

Mobility data is used in many fields to improve urban planning, optimize public transport and develop innovative mobility solutions.

Here are the main use cases:

  1. Optimizing public transit systems
  2. Road and bicycle infrastructure planning
  3. Real-time parking management
  4. Development of multimodal mobility applications
  5. Travel flow analysis for urban planning
  6. Assessing the environmental impact of transport

Data providers for mobility and parking analyses

SupplierSpecialityEmployeesSALES (€M)Website
VianovaMobility data analysis
Blue SystemsMobility data
Here TechnologiesMapping and traffic
InrixTraffic and parking
FlowbirdParking solutions and
CiteasyParking data in
NeovyaMobility analysis
TransitecMobility design

The LOM law and open data in the field of mobility

The Loi d’Orientation des Mobilités (LOM), enacted in December 2019, has introduced new obligations to open up mobility data. This law aims to improve passenger information and encourage innovation in the transport sector.

Open data means making public data accessible and reusable for everyone. In the field of mobility, this includes public transport timetables, the availability of self-service bicycles, and the location of charging stations for electric vehicles.

Leading providers of mobile open data services :

Open data providers play a crucial role in the mobility ecosystem, giving developers, researchers and businesses access to valuable information to create new services and improve the experience of transport users.

  1. National platform for open transport data, managed by the Ministry of Transport.
  2. Open platform for French public data, including extensive mobility data.
  3. OpenStreetMap OpenStreetMap: collaborative open-source mapping project, widely used for mobility-related geographic data.
  4. Navitia open source API for multimodal route planning, developed by Kisio Digital.
  5. OpenDataSoft Platform for managing and sharing open data, used by many local authorities for their mobility data.

Such data sharing fosters innovation and transparency in the transport sector, while helping to improve mobility services for citizens.

Cost of mobility and parking data

Budgets ranging from 1,000 to 100,000 euros a year!

The cost of mobility and parking data varies considerably according to its nature, accuracy and freshness. Real-time data is generally more expensive than historical data. For example, real-time traffic data can cost between 10,000 and 100,000 euros a year for a medium-sized city, depending on the extent of coverage and frequency of updates.

Parking data, on the other hand, can vary from a few thousand euros for static data to several tens of thousands of euros for dynamic data covering an entire metropolis. The democratization of innovative solutions, such as that offered by intelligent parking specialist Cocoparks, is helping to reduce the budgets associated with data creation.

Optimize your mobility data budget

Many local authorities opt for mixed solutions, combining the purchase of data from private suppliers with the production of their own data via parking sensors or surveys. Some also rely on mobility consultancies. This approach often reduces costs while guaranteeing better data control.

In addition, open data, as required by the LOM law, are increasingly available free of charge, although their quality and completeness may vary. Large companies and local authorities can negotiate tailor-made contracts with data suppliers, while smaller organizations can opt for API subscriptions or one-off purchases of datasets. In all cases, it is crucial to assess the cost-benefit ratio of this data in relation to the specific objectives of the mobility or parking project.

Example of Rennes Métropole and its use of mobility data

Rennes Métropole has introduced an innovative approach to using mobility data to improve its transport network. By exploiting ticket validation, bus geolocation and road traffic data, the metropolis has been able to :

  1. Adjust bus frequencies on certain routes according to actual demand
  2. Optimize connections between different modes of transport (metro, bus, self-service bicycles)
  3. Implement more accurate real-time passenger information
  4. Develop a multimodal mobile application integrating all available modes of transport

Thanks to this intelligent use of data, Rennes Métropole has been able to increase ridership on its public transport network by 10% in two years, while reducing operating costs. This data-driven approach has also helped improve user satisfaction and reduce the carbon footprint of travel in the metropolis.

In addition, Rennes Métropole’s open data portal is a reference in the field.

Find out more about these players



Observatoire analytique du stationnement

Des data précises, objectives sur le stationnement, enfin !​

Aide au controle

Améliorer l'efficacité du controle avec de la data

Guidage à la place

Apporter un service visible au quotidien pour vos usagers​

L'appli Cocoparks

Le stationnement en temps réel, dans votre poche !​

Collaboration et gestion des arrêtés

Gagnez du temps et en qualité pour transformer la voirie

Optimisation du stationnement

Réorganiser pour améliorer l'attractivité et la sécurité

La tech est au cœur de la solution Cocoparks, par ici pour découvrir notre plateforme technologique


In-place guidance

Provide a visible daily service for your customers

Technology platform

Reorganizing for greater attractiveness and safety

Technology is at the heart of the Cocoparks solution. Click here to discover our technological platform.