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Category: Behavioural Analytics

HS4U

HS4U

Ongoing

Abstract

The overall objective of the HS4U project is to offer an evidence-based approach extending standardized design and regulatory paradigms towards industry 5.0. The project is promoting principles of modularization, optimization, and smart systems engineering towards the detection, prevention, mitigation and management of large passenger and cruise ships. Hence, HS4U holistic solutions for stress relief over conditions of health crises prioritize the assessment of typical cruise designs and day-to-day tasks. Following its two use cases (CELESTYAL and COLUMBIA BLUE), and its 4U(nique) pillars approach for research, i.e., societal/human, environmental, technological, legislation factors, it adopts and delivers state-of the art ecosystem of technologies offering groundwork to rethink health and safety designs and frameworks. HS4U bridges cross-sectorial multidisciplinary expertise to cross-fertilize research findings and provide best practices, protocol/ policy recommendation and a complete solution for crew training based on multi-player gaming. Validation of proposed technology and passenger behavioral model will be based on live experiments. Special HS4Us open source/FAIR offerings are:

  • Collaborative digital framework (CDF) for live interaction of crew/passengers and IoT edge devices on the ship based on co-robotics concepts and Artificial Intelligence mechanisms and models.
  • Viral Detection Sensor (VDS) that will be developed, tested, validated, delivered, patented and commercialized to offer online indication of the location of pathogenic airborne spreads in indoor environments.
  • “Robot-cabin” real-life demonstrator displaying evidence-based 4U solutions on the interoperability of smart, and innovative methods for ship systems effective and fast detection, prevention, mitigation and inter-compartment, intercompartment management ensuring healthy ship operations and safe return to port over conditions of health crises.

Role of AETHON

AETHON will have a significant role in the project by leading Work Package 3: ‘Technical and Technological Research’. Furthermore, AETHON will lead the research and development of a passenger behavioral model, due to its specialization in the transport field and data analysis. AETHON will also overview all the data related activities as an assigned Data Protection Officer.

Partners

American Bureau of Shipping
HYDRUS
National Technical University of Athens
University of Nicosia
Epsilon
Université Gustave Eiffel
Ledra Group
Health Policy Institute
Variance-Ascola
University of Thessaly
RWO
Celestyal Cruises
Unparallel
CNT Lab
Columbia Blue
Tsikis Shipyard
White Research
Netcompany - Intrasoft
University of Cambridge

Project Information

Duration: 1/9/2022 to 31/8/2026 (36 months)

Budget: €6,255,977.50

Project link: https://hs4u.eu/

MobiDataLab

MobiDataLab

Ongoing

Abstract

The overall objective of MobiDataLab is to propose to the mobility stakeholders (transport organising authorities, operators, industry, innovators) a replicable methodology and sustainable tools that foster the development of a data sharing culture in Europe and beyond. MobiDataLab is based on a continuous co-development of knowledge and of technical solutions for data sharing with high involvement of all data producers and consumers in the transport and mobility landscape. This will be put in action through problem-solving oriented Labs, the collection and analysis of advice and recommendations of experts and supporting cities/regions/clusters/associations aided by the incremental construction of a cross-thematic knowledge base and of a cloud-based service platform, which will federate access and usage of data sharing resources.

MobiDataLab leverages on the legal, technological and economic opportunities to:

  • present mobility data providers with recommendations on how to improve the quality, accessibility and usability of their data – how to describe them, how to store them safely and securely, how to make them available, easy to find, and understandable;
  • encourage the reuse of these data and foster users’ trust in the data, contributing to the development and promotion of open tools to the community of innovators;
  • bring together mobility stakeholders (both data providers and data consumers) to find innovative solutions to concrete problems, using open data as a tool.

The MobiDataLab consortium is formed by 10 partners from Industry, Research, Academia, Consultancy and Governance sectors, located in 7 countries. The consortium shares a common view on the values and benefits of open data and open source principles for fostering independence and uptake by communities. The MobiDataLab yet young-and-emerging group of supporting parties allows to consider replicability of approach and results in many more countries, including beyond EU

Role of AETHON

AETHON will have a significant role in the technical tasks due to its specialization in the transport field and data analysis. AETHON will explore the actor’s needs and the cooperation framework and will create and execute the Living and Virtual Labs in order to collect data regarding the data sharing culture and the impact and efficiency of the project.

Partners

AKKA Technologies
CONSORZIO INTERUNIVERSITARIO PER L'OTTIMIZZAZIONE E LA RICERCA OPERATIVA
Consiglio Nazionale Delle Ricerche
KISIO Digital
HERE GLOBAL B.V.
Katholieke Universiteit Leuven
Universitat Rovira i Virgili
Polis Network
F6S NETWORK Ltd

Project Information

Duration: 1/2/2021 to 31/1/2024 (36 months)

Budget: €2,999,305.00

Project link: http://www.mobidatalab.eu/

SYN+AIR

SYN+AIR

Completed

Abstract

Collaboration is a concept that carries heavy weight when discussing multimodal trips of passengers. For Transport Service Providers (TSPs), it is a method to facilitate a door-to-door (D2D) journey, which is a basic goal set out by the EU in the 2011 Transport White Paper. However, collaboration is a very generic concept that is hard to define. For SYN+AIR, collaboration among modes relates to data sharing among TSPs in the scope of facilitating a seamless D2D journey. The main objective of SYN+AIR is to generate common goals for TSPs that will justify data sharing, facilitating the user to execute a seamless D2D journey. SYN+AIR employs a partially participatory (in terms of validation) and partially, technology driven approach (in terms of defining data flow among TSPs) that is user-centric; customer journeys will be generated for the entire multimodal chain and SYN+AIR will analyse how those journeys can be facilitated through improved planning and operations activities (following the ATFCM phases: strategic, pre-tactical, tactical) powered by data sharing. For the analysis, air travelling is placed in the epicentre; all multimodal chains consider the usage of air travelling. Consequently, a “Smart Contracts Framework” will be generated based on a Business Process Model. Smart Contracts are agreements among TSPs that define data sharing criteria (scope, parties’ obligations, contract’s time span and fulfilment criteria). TSPs can use the agreements for structuring a collaboration scheme with another TSP either strategically or tactically. Data generated by Travel Companion apps will also be analysed in the context of enriching the Smart Contracts Framework allowing TSPs to improve their activities and execute informed decisions. Finally, SYN+AIR will determine what additional recommendations can be provided to travellers based on the execution of a Smart Contract.

AETHON is the initiator of the SYN+AIR project idea.

Role of AETHON

AETHON participates almost in all the technical works of SYN+AIR due to its specialization in transport planning and data analysis. AETHON’s main contribution will be in the Business Policy and in the Technology Exploration. AETHON will be the Work Package Leader of WP3, the Task leader of all the tasks of WP3 and will create the Smart Contracts Framework.

Partners

Project Information

Duration: 1/11/2020 to 1/12/2022 (25 months)

Budget: €997,250.00

Project link: N/A

Athena

Athena

Ongoing

Abstract

ATHENA is a garage project of AETHON aimed at reinventing the way we interact and communicate with our vehicle. In today’s non-automated vehicles, the interaction is simple, press the pedal – it accelerates, turn the wheel – it turns. But what happens in the vehicle of tomorrow, when automation gives your hands the opportunity to wander off and do something else besides grabbing the wheel?

It is simple, one might say, if something happens or I want the car to stop, I regain control simply by grabbing the wheel. That is true, it is possible, but there can be multiple unforeseen problems:

  • Drivers of automated vehicles regain control in a consistent and stabilized manor after around 40 sec (Merat et al., 2014)
  • Another study showed that drivers can take from 2 to more than 25 seconds to regain control, which is a significant time frame especially at high speed. Also, researchers noted that “Significantly longer control transition times were found between driving with and without secondary tasks” (Eriksson & Stanton, 2017)

 

This is only the tip of the iceberg. Automated cars are only starting to appear. In full automation we would not need to take control; vehicles got it covered for us. But then, what is the necessity for having a wheel? How will we communicate with the vehicle?

The Society for Automotive Engineers has developed a standard of 5 automation levels. Level 0 is no automation while level 5 is complete automation. This standard, also adopted by NHTSA (National Highway Traffic Safety Administration, USA – https://www.nhtsa.gov/technology-innovation/automated-vehicles-safety), states that at level 4 and level 5, driver intervention becomes optional. This means that drivers will cease to exist, no wheel or formal driving training will be required. However, interaction between the “passenger” and the vehicle, cannot cease to exist. We need to tell our car where to go and how to get there, make stops if necessary or if we wish to. We should not only be talking about smart and autonomous vehicles but also for informed and empowered operators that will replace the driver concept. Athena aims to empower those operators with voice control.

Athena Concept

Voice control will help us communicate “natural commands”, such as, make a stop after the blue car, and will help us maneuver under various conditions, translating our voice commands to vehicle movement and control. Athena is an AI that makes the translation: it receives the command from the driver and transmits it to the automated vehicle’s system. It does not blindly make a left when the driver requests it, but lets the vehicle know that the driver wants to make a left, leaving the car to decide when its safe. This is a new level of vehicle-machine interaction, a new Human-Machine Interface. It also learns about us as we speak, using Machine Learning and Natural Language Recognition for understanding and improving the commands. Most importantly though, Athena translates those commands to valid vehicle movement, understands complicated maneuvers and requests the vehicle to perform them ensuring that the driver does not become a passenger but an operator, empowering and reinventing the interface of future vehicles.

Short Demo

The automated vehicle is depicted with a red dot. At the end (right side) of the middle lane there is a segment of very low speed limit (~5km/h). “Human” vehicles (in green) choose to change lane to avoid the segment but the automated vehicle will not change lane without a human giving the command. The demo aims to show how Athena will operate in a simple yet relevant example.

* Simulation software provided by Technical University of Delft (http://homepage.tudelft.nl/05a3n/)
** Voice transcription (Speech-to-Text) is powered by Watson, IBM (https://www.ibm.com/watson/)
*** Automated vehicles’ movement: Longitudinal driving model by Papacharalampous et al. (2015)

Tourism on Bicycle (TOPOs)

Tourism on Bicycle (TOPOs)

Completed

Abstract

A major problem of tourism in Greece is seasonality. The tourist product that is mainly offered is “sun and sea”. Organized mass tourism usually neglects history and civilization, a matter that makes the strategic search for alternative touristic activities that are attractive throughout the year, a crucial task. Such a form of tourism is cycling tourism that is in high demand by European tourists.

To enhance cycling tourism, the proposal of TOPOs aims at creating a) a certification system for touristic companies with respect to the friendliness of their services for bicyclists and b) an interactive online cycling tourism guide for promoting certified businesses. The evaluation of companies for receiving the certification will focus on the companies’ ability to provide bicyclists with required services. The online cycling tourism guide will provide information about the certified businesses, the surrounding areas and information concerning the difficulty, safety and scenery of the bike routes that connect the certified businesses and points of interest, thus delivering a new promotion tool for the companies.

The project includes a scientific research part which will focus on the definition of the criteria to be considered when assessing business to receive the certification and for the route assessment and a technological – commercial part that concerns the development of the product that will focus on user – friendliness and commercialization.

Role of AETHON

AETHON is the coordinator of the project. Furthermore, AETHON is executing technical tasks related with the technologies that will be developed during the project such as the certification platform and pilot execution.

Partner

Project Information

Project ID: Τ1ΕΔΚ-04981

Duration: 23/7/2018 to 3/11/2021 (39 months – Approved on 23/7/2018)

Budget: €282,398.00

This project was implemented in the context of the action RESEARCH-CREATE-INNOVATE which is managed by the Greek Government Administration MIA-RTDI , a special service under the General Secretary of the Centre of Research and Technology. The action and this project have been co-financed by the European Regional Development Fund (ERDF) of the European Union and national resources through the Competitiveness, Entrepreneurship & Innovation Operational Program (EPANEK). MIA-RTDI acts as a Intermediary Agency of EPANEK.

MoveWise-Research (MW-R)

MoveWise-Research (MW-R)

Completed

Abstract

This proposal for the project MoveWise-Research (MW-R) is submitted for the call INNOSUP-02-2016 “SME Innovation Associate”. AETHON requests to hire a post-doctoral researcher with sufficient academic experience on transportation engineering, data analytics, behavioural analysis and IT programming for the purpose of performing a proof-of-concept research (TRL 5 – development of model/algorithm) on modelling tours incorporating user feedback. The key objective of the MW-R project is to develop a model/algorithm for planning of tours and trips in real time incorporating user preferences and data on traffic obtained from public (and open) sources. The model will be created by using data from public transport authorities in Greece and by performing a small scale survey to obtain user feedback on trips. By achieving the MW-R goal, the model will be able to change the perspective of travellers by providing targeted information about planned routes that will improve mode, route, time of departure and destination choice. AETHON aims to incorporate the model in a smartphone application and to gain knowledge on transportation behavioural analysis that can be used in multiple professional activities.

Role of AETHON

AETHON is the coordinator of the project.

Project Information

Duration: 29/9/2017 to 28/9/2018 (12 months)

Budget: €64,243.8

Project link: http://cordis.europa.eu/project/rcn/208828_en.html

Public Results

Questionnaire Survey Results: View pdf

You’ll find above the results of the first part of the questionnaire survey performed by AETHON during March 2018 (more information here: http://aethon.gr/en/questionnaire-mwr/).

Presentation of project results: View pdf

Yhttp://aethon.gr/en/wp-content/uploads/2018/09/A-State-Space-Model-For-Assimilating-Passenger-And-Vehicle.pdfou’ll find above the presentation summarizing mathematical modeling activities in the MW-R project

Open Publication for the project: https://arxiv.org/abs/1809.10429

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 739607.

My TRAvel Companion (My-TRAC)

My TRAvel Companion (My-TRAC)

Completed

Abstract

My-TRAC project aims to deliver an innovative application for seamless transport and an ecosystem of models and algorithms for Public Transport – PT user choice simulation, data analytics and affective computing. My-TRAC stands out from other technologies due to three main reasons. First, My-TRAC fosters unprecedented involvement of users during, before and after a trip through a smart Human-Machine interface and numerous functionalities such as crowdsourcing, group recommendations, data exchange. Second, the application implements a vast array of technologies, such as affective computing, Artificial Intelligence and user choice simulation, that fuse expertise from multiple fields. Third, My-TRAC facilitates engagement of multiple stakeholders by seamlessly integrating services and creating connections between Rail operators, Mobility-as-a-Service and other PT providers.

My-TRAC application is a travel companion designed to operate similarly to a human companion; understanding traveller’s attributes and state-of-mind to derive conclusions from vague information as any human does. In addition, My-TRAC will be the traveller’s gateway to various services related to using PT, having Rail in the epicentre. My-TRAC application will also provide predictive information concerning disruptions and disturbances. It will not only display data but analyse them through innovative algorithms to provide improved recommendations.

My-TRAC also involves PT operators through the “operators’ interface” where they can retrieve and visualize aggregated data on users’ movements and state-of-mind that will assist in strategic and dynamic operations. Data that the operators retrieve are aggregated and anonymized while all models and algorithms are applied on the mobile device of the user, seamlessly integrating the “privacy-by-design” concept.

The consortium will test the idea in 4 pilot locations with the cooperation of local operators: NS (NL), ATTIKO Metro (GR), FGC (SP), Fertagus (PT).

AETHON is the initiator of the My-TRAC project idea.

Role of AETHON

AETHON is leading technical tasks related to user-centric technologies of the My-TRAC application. AETHON performs multiple tasks related to behavioural analytics of passengers and participates actively in the data collection processes (design and implementation of questionnaire survey, analysis of mobility patterns etc.). Furthermore, AETHON works on the development of the My-TRAC smartphone application and is leading the development of the “operator’s interface”. Finally, AETHON participates in pilot’s design and execution in 4 countries: Greece, the Netherlands, Spain and Portugal.

Partners

Project Information

Duration: 1/9/2017 to 31/8/2020 (36 months)

Budget: €3,494,476.25

Project link: http://www.my-trac.eu/ (Project website), http://cordis.europa.eu/project/rcn/211972_en.html (Publication in CORDIS)

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