R&D Projects ACCUS Adaptive Cooperative Control in Urban (sub)Systems

The aim of the project is to design and develop Integration and Coordination Platform (ICP) to support the implementation of smart city standards.


The ICP will enable integration (based on system-of-systems approach) and coordination of the processes of urban domains such as traffic control, pollution monitoring, energy management, or outdoor lighting, This, in turn, will account for a holistic optimization of urban processes usually covered by stand-alone and isolated ICT systems.

In the project BetterSolutions was responsible for the development of generic ICP framework components and Complex Event Detection Engine (CEDE), which provides complex event processing features to detect events in urban area (noise alerting, air pollution, and other). One of the CEDE applications (Complex Event Detection Engine) is the processing of data on the traffic in the city in order to detect congestions and traffic jams.

BetterSolutions has also provided City Activity Stream (CAS) application, which will serve as information exchange channel for citizens, authorities, and ACCUS cyber-physical environment.

Mobile versions (iOS and Android) of the application will enable city inhabitants to report incidents (such as illegal garbage dumps clutter or hole in the road) and to receive messages from ACCUS on the situation in the city.

The results of the project have been demonstrated as part of the pilot installation of ACCUS ICP in Gdansk in January 2016.

Partners: TNO, Thales, Technical University Eindhoven, Gdansk University of Technology, Tecnalia, Acciona

Funding: FP7 / ARTEMIS-IA (2013-2016)

R&D Projects FLOTA++ Multicriterial routing algorithms for fleet management systems

The project seeks to create a generic optimization engine in order to solve wide range of routing problems.


Truck and trailer routing and similar problems are characteristic of the transportation and logistics industry, where – in order to reduce overall fuel consumption – it is necessary to create transport plans by determining the shortest routes for a fleet responsible for the supply chain or distribution of products.

The engine developed in the project will automatically generate transport plans, while taking into account constraints such as time windows, multiple depots, trucks and trailers capacity, or transhipment points.

Results of the project will be used in further development of the BetterSolutions technologies to support transportation management and logistics. The routing engine will be implemented in MuuMap and BetterMap products.

Funding: National Centre for Research and Development, Applied Research Programme (2015-2016)

The project is carried out in partnership with the Gdansk University of Technology.

R&D Projects GO_GLOBAL.PL Internationalization of Logistics as a Service platform based on Internet of Things technology

Thanks to the funding BetterSolutions will implement strategy that aims for introducing of BetterMap Transportation Management System to foreign markets.


The project will be carried out within GO_GLOBAL.PL programme of National Centre for Research and Development. The programme aims to support technology transfer and commercialization of domestic R&D output on foreign markets.

Our BetterMap product provides Logistics as a Service functionalities and is ready to be integrated with embedded and cyber-physical systems according to the Internet of Things paradigm.

Funding: National Centre for Research and Development (2016)

R&D Projects OASIS Observatories based on Applications and Semantic Information System

The objective of OASIS is to create a platform in order to launch, manage and integrate Earth observation programmes.


The main goal of the project is to provide a platform that will enable easy deployment of applications, which will involve citizens to collect data on land use and land cover (LULC). Collected data will become, on the one hand, integrated with the data resources of Earth observation programmes as Copernicus and GEOSS. On the other, citizen-provided data will serve as a starting point for commercial applications.

During the three years of the project BetterSolutions will create underlying platform components for geographic information processing, including LULC data integration module. One of the project innovations is to create semantic LULC nomenclature, which will account for the integration of data from various Earth observation programmes.

One of the outcomes of the project is a system, which employs OASIS platform to process in-situ and satellite (MODIS, Sentinel-1 and Sentinel-2) data in order to estimate the amount of biomass available for grazing. In result, BetterSolutions will introduce to its portfolio a product dedicated for smart agriculture industry that will support decision-making in forage producers and dairy farms.

Partners: Indra Sistemas SA, Bulgarian Chamber of Commerce and Industry, Bulgarian Academy of Sciences, Institute of Geodesy and Cartography, Lahti University of Applied Sciences

Financing: Horizon 2020 (2016-2019)