Getting involved with universities, research centres and startups — that’s how A-to-Be has been keeping on the edge of technology in the mobility field, promoting a sustainable growth around us — Research be-ond is the brand we’ve created to honour one of our passions: research and development.

Did you know…

…we have a comprehensive collection of articles, reports and white-papers available on our website?

Click here to access A-to-Be’s online free library of knowledge.

Research areas

The following is a list of A-to-Be main research areas, covering ground from Machine Learning, Artificial Intelligence, Image analysis to Blockchain and Human-Machine Interaction.

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    Machine Learning

    An application of artificial intelligence


    A-to-Be researches and develops advanced techniques for detection, classification and interpretation for the understanding of the environment using computer vision.

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    Blockchain

    Distributed ledger technologies for payments and contractual data


    Transport can be profoundly transformed by blockchain to allow decentralised applications to run in peer-to-peer network.

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    Big Data

    Analyze complex data systems for the mobility environment


    The existing analytical methodologies and tools for big data allow the generation of knowledge in a very efficient way, supporting strategic and operational management.

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    Dynamic Pricing

    Better manage demand through pricing mechanisms


    Creation and development of algorithms for the implementation of dynamic pricing.

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    Vehicle-to-X

    Communication between vehicles, infrastructure and road users


    Cooperative Intelligent Transport Systems (C-ITS) based on different vehicle to vehicle/infrastructure (V2X) communication technologies.

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    Road User Charging

    Geolocation applied to dematerialized mobility solutions


    Combine different technology options assuring the necessary accuracy to determine the use of road space over a certain area and time.

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    Autonomous Vehicles

    CCAM at the infrastructure level for the digitization of transport


    Cooperative, connected, and automated mobility (CCAM) are not only complementary technologies — they reinforce each other and will over time merge completely.

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    Radio-frequency

    Vehicle-to-X communications


    Technology for payment systems in future electronic tolling and interoperability such as DSRC, WiMax and Wireless Access for Vehicular Environment.

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    Innovation management

    Research, Development and Innovation (RDI) management


    Creation, alignment and systematic evaluation of the key aspects of the RDI process and standardization.

Research projects and pilots

  • C-ITS Application – MOBICS 2

    Vehicle-to-X; Autonomous Vehicles

    Development of a central platform for a cooperative system capable of collecting and providing information on ITS-G5 (OBUs 5.9GHz) equipment installed in vehicles, through the information gathered/supplied by 5.9GHz RSUs installed at the roadside.

    PARTNERS: Instituto Superior de Engenharia de Lisboa

  • Volumetric classification using computer vision

    Machine Learning

    Development and implementation of a new counting and classification method of vehicles in real environment.

    PARTNERS: Instituto de Sistemas e Robótica da Universidade de Coimbra

  • Intelligent Parking Management

    Machine Learning

    Development of a vision system that, allows the management and monitoring of available parking spaces on-street.

  • Efficient tools for highway management

    Big Data

    Without the analytical appropriate capacities, the great volume of data that are stored loses its value, especially in the creation of competitive advantages for the companies.
    A program for big data and business analytics was developed with the objective studying lines of intervention in the fields of demand management and network monitoring.

  • Urban mobility platforms and quantification of impacts

    Mobility Management

    Characterize existing urban mobility platforms and define best architecture according to stakeholder’s interests.

  • Antenna for single lanes

    Radio Frequency

    Development of a new aggregate not referenced in the state of the art, that could respond to the needs verified in the specific lanes.

  • Interference of C-ITS 5.9 and 5.8GHz Systems

    Vehicle-to-X

    Evaluate the impact of interference from C-ITS 5.9GHz systems on the performance of DSRC-based 5.8GHz toll collection systems.

  • Evolution of antenna DSRC 5.8 GHz

    Radio Frequency

    Improve the performance of the radio frequency circuit of the DSCR 5.8GHz antenna and identify solutions that allow the optimization of the cost of the radio frequency circuit.

Did you know...

Did you know we helped in creating and establishing a standard for innovation certification for organizations 15 years ago?
Click here for more on A-to-Be triple certification.

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