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Urban mobility hypervisor

Urban Mobility hypervisor

Challenge: urban mobility is changing, and cities need to adapt

Mobility represents around 25% of Europe’s greenhouse gas emissions and it is the main cause of air pollution in cities. Urban mobility has started to change, and this transformation will become more and more radical in the years ahead.

This creates a reality where mobility demand is more complex. New means of transport are rising, from electric bikes to electric scooters. News usages of mobility emerge, with shared vehicles, and mobility as a service. Last mile delivery is an increasing challenge as the volumes of delivered goods reach unprecedented highs. Interest for public transport is on the rise. Mobility users demand ever more convenience, safety and efficiency. And yet, cars remain presents in cities as the transition takes time to fully unfold.

Faced with this changing and complex demand, mobility infrastructures have to evolve. Legacy infrastructure must be managed more efficiently. New infrastructure must be intelligently located to respond to new challenges. And the interconnection of the different transport infrastructures in a coherent system is an increasingly critical requirement.

Approach: an holisitic view, making sense of the past, forecasting the future

To address these challenges, Kentyou believes that a part of the answer will be in making sense of data. That’s why we help cities to better collect, classify and analyse their mobility data.

To this aim, we must consider more data sources than before. The evolving mobility demand and the centrality of mobility in urban life require to take into account new factors and dimensions in building mobility policies. Information cannot be kept within the silos of traditional city services and must be interconnected. The Eclipse sensiNact platform is the ideal tool for creating these connections and for rapidly integrating data from various origins.

Once data is available and organised within the Eclipse sensiNact platform, cutting edge data analytics and AI solutions can be used to make sense of the data. This allows to scrutinize the past to better understand the dynamics at play. This type of analysis can help cities to better analyse their existing transport infrastructures and mobility services. It provides a global overview on current usage with the ability to differentiate between different areas or social groups.

But moreover, our data analytics capabilities allow for predictions about future trends and impacts. This can be used by cities to anticipate future events (such as local surge in demand related to specific conditions or events). But it can also be used to better forecast the impact of mobility policies. Before being implemented decisions can be scrutinized to maximize their positive impact on mobility and the environment and minimize their cost and negative impacts.

Solutions: Kentyou Eye as an urban mobility hypervisor

Our Kentyou Eye tool has been built to monitor heterogeneous urban data and to support city services in critical decision making. Mobility is one of the use cases where these capabilities can make a dramatic difference.

Our Kentyou Eye tool has been built to monitor heterogeneous urban data and to support city services in critical decision making. Mobility is one of the use cases where these capabilities can make a dramatic difference.

But moreover, the extensible and adaptative capabilities of Kentyou Eye enable us to integrate more specific tools in your deployment. As such, Kentyou Eye can integrate different mobility related applications depending on the needs: our recommendation for the optimal location of new mobility infrastructures, traffic flow optimisation algorithms, or advanced impact monitoring capabilities to better understand the impact of mobility on CO2 emissions and air quality.

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