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Needs, wants and behaviour of 'Drivers' and automated vehicle users today and into the future

Livrables

Ethical, sociocultural, gender, safety, security and legal issues

This Deliverable will include ethical sociocultural gender safety security and legal issues related to the deployment and acceptance of AVs It will reflect the work performed in all WP7 Activities

Project Final Report -including the meetings outcomes of Drive2theFuture Advisory Board

This Deliverable will include the overall presentation of the project throughout its duration describing the undertaken activities findings results and products It will also include a section on the role and activities of the Drive2theFuture Advisory Board A94 within the project It will reflect the work of all project WPs

2nd Revision of D5.1 Pilot Plans

This Deliverable is the 2nd revision of D51 It will update the original plans and include the final plans of the 3rd pilot phase

2nd revision of D8.2 Dissemination plan, User Forum and events

This Deliverable is the second revision of D82 in order to incorporate the project findings until M30 It will also include the minutes of the 2nd and 3rd Drive2theFuture Workshops

Drive2theFuture Project Presentation

This Deliverable will include a general presentation of the project (in .doc and .ppt formats). It is part of the work of A9.1 and A9.2.

ESoP on HMI for AVs

This Deliverable will include a proposal for ESoP extension on HMI for AVs It will reflect the work performed in A66

Impact assessment of project results

This Deliverable will include the impact assessment based on the project KPIs and the pilot results It will reflect the work performed in A64 and A65

Business Models Suite

This Deliverable will include a business models suite for the market uptake of connected cooperative and automated transport It will reflect the work performed in A83

2nd revision of D2.2 Sentiment analysis on social media

This Deliverable is the second revision of D22 in order to incorporate input from the 2nd Phase of project pilots

1st revision of D8.2 Dissemination plan, User Forum and events

This Deliverable is the first revision of D8.2 in order to incorporate the project findings until M18 of the project. It will include also the minutes of the 1st Drive2theFuture Workshop.

1st revision of D2.2 Sentiment analysis on social media

This Deliverable is the first revision of D2.2, in order to incorporate input from the 1st phase of the project pilots.

Report on Concertation and clustering actions in Europe and beyond

This Deliverable will include the activities and results of a series of concertation and clustering actions including pairing with nonEuropean projects to be undertaked throughout the duration of the project It will reflect the work of A95

1st Revision of D5.1 Pilot Plans

This Deliverable is a revision of D5.1. The aim of the revision is to accomodate any issues that may come up during the initial piloting period and may affect the original planning. Also the final plans for the 2nd pilot phase will be included here.

Guidelines and policy recommendations

This Deliverable will include a set of guidelines and policy recommendations based on the project findings and pilots It will reflect the work of A85

Affective, persuasive, trusted and personalised HMI for AV functions

This Deliverable will include the results of work on selection and development of adequate HMI and its personalisation features It will reflect the work performed in A31 A32 A33 and A35

Dissemination Plan, User Forum and events

This Deliverable will include the Dissemination Plan for the project (A8.1), along with the synthesis and activities of the User Forum, as well as the minutes of the project workshops (A8.2).

3rd revision of D2.2 Sentiment analysis on social media

This Deliverable is the third revision of D22 in order to incorporate input from the 3rd Phase of project pilots

Acceptance Risk Assessment

This Deliverable will include the assessment of the key risks to user acceptance of AVs. It will reflect the work performed in A1.3

Impact assessment framework, project KPIs and their prioritisation

This Deliverable will include the definition of the impact assessment framework (A6.1), along with the identification of project KPIs and their prioritisation (A6.2)

User clusters, opinion, research hypotheses and use cases towards future AV acceptance

This Deliverable will include the results of user clustering of A1.1, user opinions (captured through the voice of customers surveys of A1.2), the research hypotheses (as defined in A1.4), issues of transferability between modes, including a comparative study between different types of vehicles and modes(A1.5), the taxonomy of knowledge and skills for AV operation (A1.6) and the Use Cases and priority scenarios of A1.7.

Revision of D1.2 Acceptance Risk Assessment

This Deliverable constitutes the revision of D12 originally submitted in M12 The aim of the update is to accomodate also findings from the project pilots

Drive2theFuture Quality Assurance Plan

This Deliverable will include the Quality Assurance Plan of the project, defining the rules and procedures for securing the high quality of project implementation and results. It is part of the work of A9.3.

Exploitation plans

This Deliverable will include the exploitation plans of the project products. It will reflect the work of A8.4.

Revision of D8.4 Exploitation Plans

This Deliverable will be a revision of D84 Exploitation Plans including the final exploitation plans of the project

Pilot Plans

This Deliverable includes the detailed Pilot Plans for all project pilots. It will be revised in M12 and M23 in order to accomodate any issues that may come up during the Phase I and Phase II pilots respectively and may affect the original planning. It will reflect the work performed in A5.1 in cooperation with A5.2, A5.3, A5.4, A5.5, A5.6, A5.7.

Training certification requirements, acceptance creation measures and impact to employment

This Deliverable includes the certification requirements of the training schemes developed within the project A44 along with acceptance creation measuresA45 and the investigation of expected impacts to employment A44

Pilots results consolidation

This Deliverable will include the consolidation and analysis of the results of all project pilots It will reflect the work performed in A58 in cooperation with A52 A53 A54 A55 A56 A57

Automation User Acceptance creation path roadmap

This Deliverable will include a roadmap for the creation of a user acceptance path for automation in the short until 2024 mid until 2035 and long term until 2050 It will reflect the work of A86

Revision of D9.4 Data Management Plan

This Deliverable will be a revision of D9.4 performed mid-term the project duration and soon after the initiation of the project pilots, in order to accomodate any issues that might raise since its original definition

Data management plan

This Deliverable will include all issues related to data management within the project, including data privacy and security issues, respecting relevant existing regulations. It is part of the work of A9.3.

AV drivers behavioural models

In this Deliverable the AV drivers' models (A2.4) will be developed and reported. It will be revised in M30 in order to include feeback from the project pilots.

Revision of D2.3 AV drivers behavioural models

This Deliverable is the revision of D23 in order to incorporate input from the project pilots

Project Dissemination material

This Deliverable will include all project dissemination material, such as the website, leaflet, poster, etc. It will reflect the work of A8.1.

Publications

E-learning training tool for automated transport systems.

Auteurs: Gaitanidou, E., Loukea, M., Alertas, I., Spanidis, P., Bekiaris, E.
Publié dans: 2022
Éditeur: 6th International Conference on Intelligent Traffic and Transportation (ICITT 2022)

Towards a Roadmap for User Acceptance Path to Vehicle Automation.

Auteurs: Gaitanidou, E., Loukea, M., Bekiaris, E.
Publié dans: 2022
Éditeur: 9th Transport Research Arena TRA

A Taxonomy of Skills and Knowledge for Efficient Autonomous Vehicle Operation

Auteurs: Orfanou F., Vlahogianni E., Yannis G
Publié dans: 2021
Éditeur: CSUM 2020 - Conference on Sustainable Urban Mobility

Identifying the automated vehicle driving policy in the vicinity of pedestrian

Auteurs: Orfanou F., Toettel L., Vlahogianni E., Yannis G
Publié dans: 2022
Éditeur: 9th Transport Research Arena TRA

Consumer survey on the attitudes of different user clusters towards automated vehicles for all modes, in Drive2theFuture project.

Auteurs: Gaitanidou, E., Loukea, S., Bekiaris, E.
Publié dans: 2021
Éditeur: 7th Humanist Conference,

Simulation-based Optimization of Autonomous Driving Behaviors

Auteurs: Hashmatullah Sadid; Moeid Qurashi; Constantinos Antoniou
Publié dans: 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, Page(s) pp. 4101-4108, ISBN 978-1-6654-6880-0
Éditeur: IEEE
DOI: 10.1109/itsc55140.2022.9922604

Acceptance, a Mandatory Requirement for the Transport of the Future.

Auteurs: Rodriguez, J., Gaitanidou, E., Loukea, M., Mathis, L.A., Diederichs, F
Publié dans: 2021
Éditeur: ITS World Congress

Automation Acceptance Risk Assessment: stakeholders’ consultation and mitigation plans

Auteurs: Loukea, M., Gaitanidou, E., Bekiaris, E., Bakalos, N.,
Publié dans: 2022
Éditeur: 9th Transport Research Arena TRA

Stakeholders clustering and identification of needs, wants and priorities in automated road transport.

Auteurs: Loukea, M., Gkemou, M., Gaitanidou, E. Panou, M., Bekiaris,E. Giannakari, M.O., Gogas, M., Markvica, K., Nietsche, P., Coeugnet, S., Métayer, N
Publié dans: 2021
Éditeur: 10th International Conference for Transportation Research (ICTR 2021)

Simulation platform from data collection to impact assessment of autonomous vehicles

Auteurs: Orfanou F., Mintsis E.., Vlahogianni E., Yannis G.
Publié dans: 2022
Éditeur: 9th Transport Research Arena TRA

A Field Study on Visual External Communication for Automated Shuttles

Auteurs: Alexander G. Mirnig; Magdalena Gärtner; Vivien Wallner; Michael Gafert; Hanna Braun; Peter Fröhlich; Stefan Suette; Jakub Sypniewski; Alexander Meschtscherjakov; Manfred Tscheligi
Publié dans: AutomotiveUI, Numéro 1, 2021, Page(s) 287-295, ISBN 978-1-4503-8063-8
Éditeur: Association for Computing Machinery
DOI: 10.1145/3409118.3475131

Towards Data Driven Traffic Modelling: Safe Driving Based on Reinforcement Learning

Auteurs: Kyriazopoulos, V., Orfanou F., Vlahogianni E., Yannis G
Publié dans: 2021
Éditeur: International Conference on Intelligent Transportation Systems, ITSC2021

Multi-agent reinforcement learning for autonomous vehicles: a survey

Auteurs: Joris Dinneweth; Abderrahmane Boubezoul; René Mandiau; Stéphane Espié
Publié dans: Autonomous Intelligent Systems, Numéro 1, 2022, ISSN 2730-616X
Éditeur: Springer
DOI: 10.1007/s43684-022-00045-z

Humanizing Autonomous Vehicle Driving: Understanding, Modeling and Impact Assessment

Auteurs: Orfanou F., Vlahogianni E., Yannis G. and Mitsakis E.
Publié dans: Transportation Research Part F: Traffic Psychology and Behaviour, Numéro 87, 2022, Page(s) 477-504, ISSN 1369-8478
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.trf.2022.04.008

Video observation of encounters between the automated shuttles and other traffic participants along an approach to right-hand priority T-intersection

Auteurs: Petr Pokorny; Belma Skender; Torkel Bjørnskau; Marjan Hagenzieker
Publié dans: European Transport Research Review, Numéro 13, 2021, Page(s) 1-13, ISSN 1866-8887
Éditeur: Springer
DOI: 10.1186/s12544-021-00518-x

Interaction of automated driving systems with pedestrians: challenges, current solutions, and recommendations for eHMIs

Auteurs: Roja Ezzati Amini; Christos Katrakazas; Andreas Riener; Constantinos Antoniou
Publié dans: Transport Reviews, Numéro 41(6), 2021, Page(s) 788-813, ISSN 1464-5327
Éditeur: Taylor & Francis
DOI: 10.1080/01441647.2021.1914771

Public Perception of Autonomous Mobility Using ML-Based Sentiment Analysis over Social Media Data

Auteurs: Nikolaos Bakalos; Nikolaos Papadakis; Antonios Litke
Publié dans: Logistics, Numéro 1, 2020, Page(s) 12, ISSN 2305-6290
Éditeur: MDPI
DOI: 10.3390/logistics4020012

Understanding the Headless Rider: Display-Based Awareness and Intent-Communication in Automated Vehicle-Pedestrian Interaction in Mixed Traffic

Auteurs: Julia Forke; Peter Fröhlich; Stefan Suette; Michael Gafert; Jaison Puthenkalam; Lisa Diamond; Marcel Zeilinger; Manfred Tscheligi
Publié dans: Multimodal Technologies and Interaction,, Numéro Vol 5, Iss 51,, 2021, Page(s) p 51, ISSN 2414-4088
Éditeur: MDPI
DOI: 10.3390/mti5090051

A data–information–knowledge cycle for modeling driving behavior

Auteurs: Christelle Al Haddad; Constantinos Antoniou
Publié dans: Transportation Research Part F: Traffic Psychology and Behaviour, Numéro Volume 85, 2022, Page(s) 83-102, ISSN 1369-8478
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.trf.2021.12.017

Investigation of Opinions on the Acceptance of Autonomous Railway Vehicles in Slovakia

Auteurs: MariánŠotek, Peter Márton, Viliam Lendel, Lucie Lendelová
Publié dans: 2021
Éditeur: .

Driver needs and behavior in automated traffic

Auteurs: Vlahogianni, E., Orfanou, F. and Yannis G
Publié dans: 2021
Éditeur: Innovation in Road Safety Research Workshop

Getting Ready for all Types of Users: A Virtual Reality Training Center for Automated Vehicles

Auteurs: Helen Gremmelmaier, Lars Töttel, Svetlana Pavlitskaya, Stefan Orf§, Marc Zofka and J. Marius Zöllner
Publié dans: 2022
Éditeur: .

A Taxonomy of Skills and Knowledge for Efficient Autonomous Vehicle Operation

Auteurs: Foteini P. Orfanou; Eleni I. Vlahogianni; George Yannis
Publié dans: Advances in Intelligent Systems and Computing - Advances in Mobility-as-a-Service Systems, Numéro 5, 2021, Page(s) 305-315, ISBN 978-3-030-61075-3
Éditeur: Springer
DOI: 10.1007/978-3-030-61075-3_30

Reliving the Dataset: Combining the Visualization of Road Users' Interactions with Scenario Reconstruction in Virtual Reality

Auteurs: Töttel, Lars; Zipfl, Maximilian; Bogdoll, Daniel; Zofka, Marc René; Zöllner, J. Marius
Publié dans: Lecture Notes in Electrical Engineering, Numéro 901, 2021, Page(s) 436–454, ISBN 978-981-19-2259-6
Éditeur: Springer
DOI: 10.48550/arxiv.2105.01610

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