Modelling Platform
Client
The problem
GreenLog accelerates systemic changes in last mile delivery ecosystems for economically, environmentally and socially sustainable city logistics. The project establishes city platforms comprising of inclusive stakeholder Urban Living Labs for nurturing social innovation, designing and deploying innovative delivery solutions while allowing the most effective exchange of ideas, the development of robust, harmonized regulatory and policy frameworks, and cooperative business models that build upon effective public/private-sector collaboration and joint investments.
The Green-Log approach provides an innovative simulation environment for scenario building combining different solutions that allow the integration of last-mile delivery interventions with the highest possible impact on environmental sustainability and traffic reduction, while considering their financial viability. The approach is deployed and validated in four cities and areas: Athens, Barcelona, Oxfordshire and Ispra.
The solution
Mosaic Factor focused in the development of the Augmented Intelligence Modelling Platform that integrates the following tools and algorithms:
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- the demand prediction,
- the optimisation and the simulation tool,
- the development of user interfaces for configuring high-level modelling scenarios.
The integrated GreenLog design platform constitutes a constellation of modules acting as connectors to the outputs of the tools mentioned above and is implemented in the form of a microservices platform for seamless integration of additional services, dynamic customisation of workflows, improved security and resilience and modular deployment in different environments.
The developed microservices are categorised according to their domain of operation which varies to user-related (user access, user information delivery, etc.), data-related (data transformer, data connector,etc.) and function-related (location optimisation, scheduling, etc.), allowing for more efficient access control and compartmentalised implementation and testing.
Data
The types of data sources or datasets used for this project are:
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- Order datasets,
- parcel datasets,
- maps,
- demand datasets,
- microhubs and microcenter datasets,
- amongst others.
Results
Check our new on the first project deliverable on our Augmented Intelligence Modelling Platform.