Imagine trying to sell the same self-driving car service in a busy city in Italy and a quiet village in Sweden; it probably wouldn't work for both. This work figures out why people in different places resist or embrace autonomous shuttles based on their local habits and geography. It creates a guidebook to help transport planners tailor these services so more people actually use them.
Autonomous mobility services often fail because they are designed as one-size-fits-all solutions. They ignore the cultural and geographical differences that make a user in a rural tourist area behave differently than a user in a major city.
The CCAM D-Tool for transport planners and a CCAM Diversity Observatory for the entire value chain to track inclusiveness and equity.
If you are a vehicle manufacturer dealing with low adoption rates in non-urban areas — this project developed the CCAM D-Tool that helps adapt vehicle design and service offerings to local cultural and geographical needs.
If you are a city planner dealing with the difficulty of integrating self-driving pods into existing transit — this project developed a Diversity Observatory that identifies specific barriers to usage across 6 European countries.
If you are a logistics firm dealing with the challenge of moving small goods in rural or touristic areas — this project developed models for mixed transport solutions that reduce reliance on private cars.
Based on available project data, there is no information regarding the cost or pricing of the CCAM D-Tool or the Diversity Observatory.
The project tests solutions across 12 pilot sites in 6 countries, providing a foundation for scaling across diverse European urban and rural environments.
Based on available project data, specific IP and licensing terms for the CCAM D-Tool have not been disclosed.
The project specifically studies policy aspects that affect the deployment and social acceptance of autonomous mobility solutions.
The CCAM D-Tool is designed specifically for transportation planners to help them define diversification metrics for their mobility systems.
The consortium is well-balanced for a transition from research to market, consisting of 15 partners. With a 27% industry ratio (4 industrial partners including 3 SMEs), the project ensures that the 5 research institutions and 1 university are grounded in commercial reality. The geographical spread across 7 countries ensures the tools are validated against diverse European market conditions.
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