European Commission logo
italiano italiano
CORDIS - Risultati della ricerca dell’UE
CORDIS

Safety tolerance zone calculation and interventions for driver-vehicle-environment interactions under challenging conditions

Risultati finali

Policy recommendations

Policy recommendations will be developed at different levels EU national and local authorities industry etc on the basis of the iDREAMS results aiming to improve behaviour and safety of all travellers and all modes Recommendations will also cover ways in which authorities may use data systems at population level to plan mobility and safety interventions set up road user incentives optimise enforcement and enhance community building on safe travelling Moreover recommendations on ICT infrastructure and tools to be promoted for better travellers connectivity and interaction with the systems and devices will be made

Experimental protocol

The experimental protocol described will stear the simulator and on-road trials conducted and analysed in the project. The protocol consists of two components: on the one hand a description of the general parameters and environment for testing, on the other hand a list of identified specific risk scenarios under which the i-DREAMS system (designed to enhance safety of everyday driving by intervening in high risk situations) should be tested.

Update of dissemination plan

An update of the dissemination plan is foreseen halfway through the project to ensure that the dissemination activities follow the projects’ progress.

State of the art on endogenous factors for monitoring driver state and exogenous factors for task demand assessment and technologies for monitoring driver state and task demand

In this report variables that influence the level of individual risk in a given traffic situation are identified. These can either be endogenous factors for monitoring driver state (such as distraction, fatigue or cognitive impairment) or exogenous factors such as weather, time of day and traffic conditions which can increase the task complexity. A common set of validated indicators will be synthesised and combined to assess the individual level of risk (safety tolerance zone). Furthermore the report will describe the results of the review (and if necesseray pré-testing) of in-vehicle technology to measure the identified endogenous and exogenous factors in a reliable way.

Organization of the driving simulator and on-road trial experiments in i-DREAMS

An organization procedure will be worked out containing a ‘roadmap’ for the successful implementation of the experiments, in order to fulful the project’s objective, according to the experimental procedures.

Toolbox of recommended data collection tools and monitoring methods + conceptual definition of the safety tolerance zone

A conceptual definition of the safety tolerance zone will be worked out by shortlisting the data collection tools and driver/environment monitoring methodologies that will be used in the project.

Enhanced toolbox of recommended data collection tools, monitoring methods and interventions including thresholds for the safety tolerance zone

Taking into account the practical experience from the ongoing simulator testings and field trials the toolbox developed in Deliverable 32 will be reviewed and updated to include the latest insights into recommended technologies and safety tolerance zone threshold values

A guide for driver/operator coaches and trainers on improving safety and ecological driving culture in transport companies based on real driver data

In transport companies a professional driver coach will visit the participating companies in the field test and will provide incompany coaching and training A guide incorporating the real driver data will be foreseen for the coach

Report on survey vehicle operator needs

The aim is to create an efficient network of stakeholders, whose consultation will help the project gather sufficient data, knowledge and experience on the development, testing and validation of a ‘safety tolerance zone’ for driving.

Methodology for the evaluation of interventions

The methodology is developed to improve driver safety through keeping the driver within the boundaries of the ‘safety tolerance zone’. In particular, the methodology will cover all the features and particularities of each one of the interventions examined, as well as the statistical issues involved in effectiveness assessment of interventions.

Analysis of coping capacity factors: vehicle and operator state

This report describes the result of the analysis of coping capacity factors related to vehicle state and operator state Firstly the vehicle state and operator state variables will be estimated from the various relevant indicators Secondly the effect of different vehicle factors on vehicle state will be defined and further analysed for different travel modes etc In parallel the effect of different personal factors on operator state will be defined and further analysed for different travel modes age and gender groups etc

Description of the on-road driving trials for identifying safety tolerance zones and the performance of in-vehicle interventions

The description of the trials contains the experimental design the methodology the timetable the necessary operational checks the KPIs and the essential resources to fulfil the experiments A communication protocol between the project management and the partners responsible for the trials will also be included in order for all parts to be constantly informed

Report on activities of and recommendations made by the User & Expert Advisory Boards

The User Expert Advisory Boards will have an active role throughout the course of the project To highligt their contribution to the project a report on their project activities and recommendations is drawn up

Toolbox of recommended interventions to assist drivers in maintaining safety tolerance zone

This report will shortlist real-time and post-trip interventions which can be used to assist drivers in staying within their safety tolerance zone.

Overview of state of the art technology for safety interventions (risk prevention and mitigation) and assessment of their effectiveness

The report will provide a set of effective tools to inform road users in real-time (via smartphone) or post-trip (via web-based platform) aiming to enhance knowledge, attitudes, perception and safety behaviour.

Development of a unified Big Data fusion framework for exploiting driving performance data in i-DREAMS

The framework developed will be used for processing and analysing the data collected from the simulator experiments and the onroad driving trials

Dissemination plan

A dissemination plan will be drawn up for the life span of the project, ensuring that the key stakeholders will get efficiently involved in the project, and that stakeholders, related audiences, other parties, and the public will be informed on the progress and results of the projects on a regular basis.

Framework for operational design of experimental work in i-DREAMS

This report will describe the underpinning framework on which the practical development, testing and validation will be built upon.

Exploitation plans

The exploitation plans of the project research ensure maximum project impact as well as optimal and fast exploitation of project results overall and by individual partners The exploitation plans will analyse the products services and market opportunities The exploitation strategy and implementation will take into account the Consortium Agreement on IPR dissemination and competitive edge Finally a general overview of the possible expenses and revenue services will be carried out in order to improve viability and exploitation impact for the partners involved

Effectiveness evaluation of the interventions

The report will provide a complete assessment and ranking of the interventions and identify the most promising intervention schemes for improving the driver behaviour and state of drivers for each mode as well as at risk factor level

Analysis of task complexity factors

This report describes the result of the analysis of the effects of contextspecific factors related to the road layout traffic time of day weather etc on risk

Description of the driving simulator experiment for identifying safety tolerance zones and the performance of in-vehicle interventions

The description of the simulations contains the experimental design, the methodology, the timetable, the necessary operational checks, the KPIs and the essential resources to fulfil the experiments.

An integrated model of driver-vehicle-environment interaction and risk

A complete Structural Equation Model will be developed to describe the interactions integrating the initial structures identified during the previous deliverables D61 and D62 From the parameter estimates of the integrated model a comprehensive set of quantitative effects of indicators will be created describing the impacts of vehicle operator and context characteristics on risk under different conditions

Standard protocol for the handling of Big Data

The standard protocol describes the logistics of handling Big Data and the process for making it useable. The protocol will meet the legal and ethical requirements of collecting, handling and storing such data.

Toolkit for vehicle operator safety

The toolkit will make it possible to reproduce the tests carried out enhance the transferability of tools and procedures at different societies and address different travel behaviour and safety problems

A flexible driver-machine interface for real-time warning interventions

To communicate realtime interventions to the driver a flexible drivermachine interface will be developed and tested This interface will be fed by the iDREAMS safety tolerance zone algorithm D42

A smartphone app (Android) for personalized driving behavioural feedback

A smartphone app will be developed on Android where the driver will receive feedback about important safety and ecological driver behaviour variables once a trip has been completed The smartphone app will communicate with the backend database D43 where the processing of realtime vehicle operator and road sensor data will take place

A set of flexible modules for sensor data collection, integration and real-time processing

This deliverable results in an integrated set of technologies per transport mode and the implementation of the following subsystems vehicle capability module driver capability module task demand module realtime capability estimator and drivermachine interface module

Prototype of project’s website

An interactive project website will incorporate the outputs of the project as they become gradually available, and the contribution of stakeholders at the various stages of the project.

A web platform for personalized goal setting, tips & tricks, and social gamification

A web platform software for goal setting and social gamification will be developed where the driver and fleet managersoperators will be able to set and receive goals to improve driver behaviour in a sustainable way The web application will be fed by information from the backend database D43

Data Management Plan (DMP)

The DMP describes the data management life cycle for the data to be collected, processed and/or generated by i-DREAMS. As part of making our research data findable, accessible, interoperable and re-usable (FAIR), the DMP shall include information on: - the handling of research data during & after the end of the project - what data will be collected, processed and/or generated - which methodology & standards will be applied - whether data will be shared/made open access and - how data will be curated & preserved (including after the end of the project).

Pubblicazioni

Real-Time Monitoring of Driver Distraction: State-of-the-art and Future Insights

Autori: Eva Michelaraki, Christos Katrakazas, Susanne Kaiser, Tom Brijs, George Yannis
Pubblicato in: Online proceedings of the 8th Road Safety & Simulation International Conference, Numero Online proceedings, 2022
Editore: Road Safety & Simulation Conference

State-of-the-art Technologies for Post-Trip Safety Interventions

Autori: E. Michelaraki, C. Katrakazas, G. Yannis, A. Filtness, R. Talbot, G. Hancox, Fran PilkingtonCheney, K. Brijs, V. Ross, H. Dirix, A. Neven, R. Paul, T. Brijs, P. Fortsakis, E. Konstantina Frantzola and R. Taveira
Pubblicato in: Proceedings of the 7th Humanist Conference, 2021, ISBN 978-2-9531712-6-6
Editore: HUMANIST

Investigating the effect of driver-vehicle-environment interaction with risk through naturalistic driving data

Autori: Michelaraki E., Roussou S., Katrakazas C., Afghari A.P., Papazikou E., Talbot R., Al Haddad C., Alam M. R., Adnan M., Khattak W., Antoniou C., Papadimitriou E., Brijs T., Yannis G.
Pubblicato in: Online proceedings of the 10th Transport Research Arena (TRA) Conference, Numero Online proceedings, 2023
Editore: Online proceedings

Risk Factors, Monitoring Techniques, and Intervention Strategies: Experiences and Lessons from Different Transport Sectors

Autori: Amir Pooyan Afghari, Eleonora Papadimitriou, Sally Maynard, Rachel Talbot, Ashleigh Filtness, Geert Wets
Pubblicato in: On-line proceedings of the 8th Road Safety & Simulation Conference 2022, 2022
Editore: Road Safety & Simulation Conference

Effectiveness of real-time and post-trip interventions from the H2020 i-DREAMS naturalistic driving project: A Sneak Preview

Autori: Kris Brijs, Muhammad Adnan, Veerle Ross, Ariane Cuenen, Yves Vanrompay, Muhammad Wisal Khattak, Christos Katrakazas, Eva Michelaraki, Ashleigh Filtness, Rachel Talbot, Graham Hancox, Laurie Brown, Evita Papazikou, Chiara Gruden, Geert Wets, George Yannis, Tom Brijs
Pubblicato in: Online proceedings of the 9th Transport Research Arena (TRA) Conference, Numero Online proceedings, 2022
Editore: Transport Research Arena (TRA)

Crash risk analysis for the mixed traffic flow with human-driven and connected and autonomous vehicles.

Autori: Qing-Long Lu, Kui Yang, Constantinos Antoniou.
Pubblicato in: Numero 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021
Editore: IEEE
DOI: 10.1109/itsc48978.2021.9564897

i-DREAMS: an Intelligent Driver and Road Environment Assessment and Monitoring System

Autori: BRIJS, Tom; BRIJS, Kris; Kaiser, Susanne; Talbot, Rachel; Lourenço, André; Antoniou, Constantinos; Yannis, George; Avenoso, Antonio; WETS, Geert
Pubblicato in: Proceedings of TRA2020, the 8th Transport Research Arena Rethinking transport – towards clean and inclusive mobility, Numero Traficom Research Reports 7/2020, 2020, ISBN 978-952-311-484-5
Editore: Traficom

Modelling the inter-relationship between driving task complexity, coping capacity and crash risk – From methodology to practical results using the i-DREAMS naturalistic driving database

Autori: Eva Michelaraki, Christos Katrakazas, Stella Roussou, Amir Pooyan Afghari, Evita Papazikou, Rachel Talbot, Christelle Al Haddad, Md Rakibul Alam, Muhammad Adnan, Wisal Khattak, Eleonora Papadimitriou, Constantinos Antoniou, Tom Brijs, George Yannis
Pubblicato in: Proceedings of the 11th International Congress on Transportation Research (ICTR), Numero Online proceedings, 2023
Editore: Online proceedings

Utilizing Reinforcement Learning Tree to Develop the Real-time Traffic Safety Management Framework on Urban Expressways.

Autori: Kui Yang, Constantinos Antoniou.
Pubblicato in: Transportation Research Board 101th Annual Meeting, Washington D.C., USA, 2022.1.9-13., 2022
Editore: Transportation Research Board

State of the art on measuring driver state and technology-based risk prevention and mitigation Findings from the i-DREAMS project

Autori: Susanne Kaiser, Christos Katrakazas, Eva Aigner-Breuss, Fran Pilkington-Cheney, Apostolos Ziakopoulos, George Yannis, Tom Brijs
Pubblicato in: Proceedings of TRA2020, the 8th Transport Research Arena Rethinking transport – towards clean and inclusive mobility, Numero Traficom Research Reports 7/2020, 2020, Pagina/e 84-85, ISBN 978-952-311-484-5
Editore: Finnish Transport and Communications Agency Traficom

The i-DREAMS intervention strategies to reduce driver fatigue and sleepiness for different transport modes

Autori: F. Pilkington-Cheney, A. P. Afghari, A. Filtness, E. Papadimitriou, A. Lourenço and T. Brijs
Pubblicato in: 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2021, Pagina/e 1-6, ISBN 978-1-7281-8995-6
Editore: IEEE
DOI: 10.1109/mt-its49943.2021.9529340

Analyzing Driver Eye Movements to Investigate the Impact of Distraction on Driving Behaviour.

Autori: Roja Ezzati Amini, Christelle Al Haddad, Debapreet Batabyal, Alyssa Ryan, Isidora Gkena, Bart De Vos, Ariane Cuenen, Tom Brijs, and Constantinos Antoniou
Pubblicato in: Online Proceedings of the 8th Road Safety and Simulation International Conference, Numero Online Proceedings, 2022
Editore: Road Safety and Simulation Conference

Modelling the inter-relationship between task complexity, coping capacity and crash risk

Autori: Eva Michelaraki, Stella Roussou, Virginia Petraki, Christos Katrakazas, George Yannis
Pubblicato in: Telematics and Driver Behaviour” Workshop, 2023
Editore: Telematics and Driver Behaviour” Workshop

Framework for behaviour change implemented in real-time and post-trip interventions of the H2020 i-DREAMS naturalistic driving project

Autori: Kris Brijs, Veerle Ross, Bart De Vos , Ashleigh Filtness, Rachel Talbot, Graham Hancox, Fran Pilkington-Cheney, Christos Katrakazas, Eva Michelaraki, George Yannis, Susanne Kaiser, Gerald Furiane, André Lourenço, Geert Wets, Tom Brijs
Pubblicato in: Online proceedings of the 9th Transport Research Arena (TRA) Conference, Numero Online proceedings, 2022
Editore: Transport Research Arena (TRA) Conference

A Review of Real-Time Safety Intervention Technologies

Autori: E. Michelaraki , C. Katrakazas, G. Yannis , E. Konstantina Frantzola, F. Kalokathi , S. Kaiser , V. Ross , K. Brijs and T. Brijs
Pubblicato in: Proceedings of the 7th Humanist Conference, 2021, ISBN 978-2-9531712-6-6
Editore: Humanist

Evaluation of safety interventions on risky driving behavior using data from a novel naturalistic driving experiment

Autori: Virginia Petraki, Stella Roussou, Christos Katrakazas, Md Rakibul Alam, Christelle Al Haddad, Constantinos Antoniou, Kris Brijs, Muhammad Adnan, Tom Brijs, George Yannis
Pubblicato in: Proceedings of the 11th International Congress on Transportation Research (ICTR), Numero Online proceedings, 2023
Editore: Online proceedings

Unfolding the dynamics of driving behavior: A machine learning analysis from Germany and Belgium

Autori: Roussou S., Michelaraki E., Katrakazas C., Afghari A.P., Papazikou E., Al Haddad C., Alam M. R., Papadimitriou E., Antoniou C., Brijs T., Yannis G.
Pubblicato in: Online proceedings of the 10th Transport Research Arena (TRA) Conference, Numero Online proceedings, 2023
Editore: Online proceedings

How do task complexity and coping capacity influence risk? Findings from a novel naturalistic driving experiment in Greece and Germany

Autori: Eva Michelaraki, Stella Roussou, Christos Katrakazas, Md Rakibul Alam, Christelle Al Haddad, Constantinos Antoniou, Tom Brijs, George Yannis
Pubblicato in: Proceedings of the 11th International Congress on Transportation Research (ICTR), Numero Online proceedings, 2023
Editore: Online proceedings

Modelling the Safety Tolerance Zone: Recommendations from the i-DREAMS project

Autori: Michelaraki Eva, Katrakazas Christos, Brijs Tom, Yannis George
Pubblicato in: Electronic proceedings of the 10th International Congress on Transportation Research, 2021
Editore: Hellenic Institute of Transport

Analysis of an advanced driver-assistance system to improve safety of cyclists overtaking by driver characteristics

Autori: MAURIELLO, Filomena; BRIJS, Tom; Montella, Alfonso; Galante, Francesco; BRIJS, Kris; ROSS, Veerle
Pubblicato in: Online Proceedings of the 8th Road Safety & Simulation International Conference, Numero Online Proceedings, 2022
Editore: Road safety and Simulation Conference

Driving simulator evaluation of an advance warning system for safe cyclist overtaking

Autori: Brijs Tom, Mauriello Filomena, Montella Alfonso, Galante Francesco, Brijs Kris, Ross Veerle
Pubblicato in: International Cycling Safety Conference (online), 2021
Editore: Lund University

Identification of safe driving behavior using an ensemble of machine learning algorithms and data from the i-DREAMS experiment

Autori: Stella Roussou, Christos Katrakazas, Eva Michelaraki, Christelle Al Haddad, Md Rakibul Alam, Constantinos Antoniou, Tom Brijs, George Yannis
Pubblicato in: Proceedings of the 11th International Congress on Transportation Research (ICTR), Numero Online proceedings, 2023
Editore: Online proceedings

How to Define a Safety Tolerance Zone for Speed? Insights from the i-DREAMS project

Autori: Eva Michelaraki, Marianthi Kallidoni, Christos Katrakazas, Tom Brijs, George Yannis
Pubblicato in: Online proceedings of the 9th Transport Research Arena (TRA) Conference, Numero Online proceedings, 2022
Editore: Transport Research Arena (TRA) Conference

Predicting risky driving behavior with classification algorithms: Results from a large-scale field-trial and simulator experiment

Autori: Garefalakis T., Roussou S., Michelaraki E., Katrakazas C., Brijs T., Yannis G.
Pubblicato in: Online proceedings of the 10th Transport Research Arena (TRA) Conference, Numero Online proceedings, 2023
Editore: Online proceedings

Investigation of the time spent in dangerous driving conditions: Findings from the i-DREAMS project

Autori: Marianthi Kallidoni, Eva Michelaraki, Christos Katrakazas, Tom Brijs, George Yannis
Pubblicato in: Online proceedings of the 9th Transport Research Arena (TRA) Conference, Numero Online proceedings, 2022
Editore: Transport Research Arena (TRA) Conference

Evaluation of safety interventions on risky driving behavior using data from a novel naturalistic driving experiment

Autori: Stella Roussou, Eva Michelaraki, Virginia Petraki, Christos Katrakazas, George Yannis
Pubblicato in: Telematics and Driver Behaviour” Workshop, 2023
Editore: Telematics and Driver Behaviour” Workshop

Exploring driving behavior as a latent variable in safety modeling. A preliminary analysis from a driving simulator study.

Autori: Christelle Al Haddad, Kui Yang, George Yannis, Constantinos Antoniou
Pubblicato in: Online proceedings of the 9th Symposium of the European Association for Research in Transportation, 2020
Editore: hEART

Definition and improvements of real-time interventions from H2020 i-DREAMS project

Autori: C.Gruden, M.Šraml, R. Talbot, G.Hancox, K.Brijs, V.Ross, B.De Vos, L.Rodrigues, A.Lourenço, C.Carreiras, T.BrijS
Pubblicato in: 2nd International Traffic Safety Conference ITSC 2023, 2023, Pagina/e http://www.qu.edu.qa/conference/itsc/
Editore: Qatar University

Risk scenario designs for driving simulator experiments

Autori: R. E. Amini, E. Michelaraki, C. Katrakazas, C. Al Haddad, B. De Vos, A. Cuenen, G. Yannis, T. Brijs and C. Antoniou
Pubblicato in: 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2021, Pagina/e 1-6
Editore: IEEE
DOI: 10.1109/mt-its49943.2021.9529268

Driving Behavior Safety Levels: Classification and Evaluation.

Autori: Kui Yang, Christelle Al Haddad, George Yannis, Constantinos Antoniou.
Pubblicato in: 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2021
Editore: IEEE
DOI: 10.1109/mt-its49943.2021.9529309

Utilizing Import Vector Machines to Identify the Dangerous Pro-Active Traffic Conditions.

Autori: Kui Yang, Wenjing Zhao, Constantinos Antoniou
Pubblicato in: IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece, 2020
Editore: IEEE Xplore
DOI: 10.1109/itsc45102.2020.9294284

Modeling the concept of a Safety Tolerance Zone: State-of-the-art and proposed alternatives

Autori: Eva Michelaraki, Christos Katrakazas, Amir Pooyan Afghari, Eleonora Papadimitriou, Christelle Al Haddad, Kui Yang, Constantinos Antoniou, Tom Brijs, George Yannis
Pubblicato in: Online proceedings of the 8th Road Safety and Simulation International Conference, Numero Online proceedings, 2022
Editore: Road Safety & Simulation Conference

Methodology for the Evaluation of Safety Interventions

Autori: Michelaraki, Eva; Katrakazas, Christos; Filtness, Ashleigh; Talbot, Rachel; Hancox, Graham; GRUDEN, Chiara; CUENEN, Ariane; BRIJS, Kris; BRIJS, Tom; Yannis, George
Pubblicato in: Online Proceedings of the 8th Road Safety & Simulation International Conference, Numero Online Proceedings, 2022
Editore: Road Safety and Simulation Conference

A big data-as-a-service architecture for naturalistic driving studies

Autori: M. R. Alam, C. Al Haddad, C. Antoniou, C. Carreiras, Y. Vanrompay and T. Brijs
Pubblicato in: 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2021, Pagina/e 1-6
Editore: IEEE
DOI: 10.1109/mt-its49943.2021.9529322

Real-Time Monitoring of Driver Distraction: State-of-the-art and future insights

Autori: Eva Michelaraki, Christos Katrakazas, Susanne Kaiser, Tom Brijs, George Yannis
Pubblicato in: Accident Analysis and Prevention, 2022
Editore: Online Proceedongs

Modeling the concept of a Safety Tolerance Zone: State-of-the-art and proposed alternatives

Autori: Eva Michelaraki, Christos Katrakazas, Amir Pooyan Afghari, Eleonora Papadimitriou, Christelle Al Haddad, Constantinos Antoniou, Tom Brijs, George Yannis
Pubblicato in: Journal of Big Data Analytics in Transportation, 2022
Editore: Online Proceedongs

Driver distraction and in-vehicle interventions: A driving simulator study on visual attention and driving performance

Autori: Roja Ezzati Amini, Christelle Al Haddad, Debapreet Batabyal, Isidora Gkena, Bart De Vos, Ariane Cuenen, Tom Brijs, Constantinos Antoniou
Pubblicato in: Accident Analysis and Prevention, Numero Vol. 191, October 2023, 107195, 2023, ISSN 0001-4575
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.aap.2023.107195

Application of naturalistic driving data: a systematic review and bibliometric analysis

Autori: Alam, Rakibul Batabyal, Debapreet Yang, Kui BRIJS, Tom Antoniou, Constantinos
Pubblicato in: Accident Analysis and Prevention, Numero Vol. 190 (September) (Art N° 107155), 2023, ISSN 0001-4575
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.aap.2023.107155

Investigating the effects of sleepiness in truck drivers on their headway: An instrumental variable model with grouped random parameters and heterogeneity in their means

Autori: Amir Pooyan Afghari, Eleonora Papadimitriou, Fran Pilkington-Cheney, Ashleigh Filtness, Tom Brijs, Kris Brijs, Ariane Cuenen, Bart De Vos, Helene Dirix, Veerle Ross, Geert Wets, André Lourenço, Lourenço Rodrigues
Pubblicato in: Analytic Methods in Accident Research, Numero 22136657, 2022, ISSN 2213-6657
Editore: Elsevier BV
DOI: 10.1016/j.amar.2022.100241

Post-trip safety interventions: State-of-the-art, challenges, and practical implications

Autori: Eva Michelaraki; Christos Katrakazas; George Yannis; Ashleigh Filtness; Rachel Talbot; Graham Hancox; Fran Pilkington-Cheney; Kris Brijs; Veerle Ross; Hélène Dirix; An Neven; Roeland Paul; Tom Brijs; Petros Fortsakis; Eleni Konstantina Frantzola; Rodrigo Taveira
Pubblicato in: Journal of Safety Research, Numero Vol. 77 (2021), 2021, Pagina/e 67-85, ISSN 0022-4375
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.jsr.2021.02.005

The Effectiveness of an Intelligent Speed Assistance System with Real-Time Speeding Interventions for Truck Drivers: A Belgian Simulator Study

Autori: Bart De Vos, Ariane Cuenen, Veerle Ross, Hélène Dirix, Kris Brijs and Tom Brijs
Pubblicato in: Sustainability, Numero 15(6), 2023, Pagina/e 5226, ISSN 2071-1050
Editore: MDPI Open Access Publishing
DOI: 10.3390/su15065226

Classification and Evaluation of Driving Behavior Safety Levels: A Driving Simulation Study.

Autori: Kui Yang, Christelle Al Haddad, George Yannis, Constantinos Antoniou
Pubblicato in: IEEE Open Journal of Intelligent Transportation Systems, Numero Volume: 3, 2022, Pagina/e 111 - 125, ISSN 2687-7813
Editore: IEEE
DOI: 10.1109/ojits.2022.3149474

Data-Driven Estimation of a Driving Safety Tolerance Zone Using Imbalanced Machine Learning

Autori: Thodoris Garefalakis; Christos Katrakazas; George Yannis
Pubblicato in: Sensors, Numero 14248220, 2022, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22145309

Studying the effects of an advanced driver-assistance system to improve safety of cyclists overtaking

Autori: Tom Brijs; Filomena Mauriello; Alfonso Montella; Francesco Galante; Kris Brijs; Veerle Ross
Pubblicato in: Accident Analysis and Prevention, Numero 00014575, 2022, ISSN 0001-4575
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.aap.2022.106763

A Multi-Modal Warning–Monitoring System Acceptance Study: What Findings Are Transferable?

Autori: Christelle Al Haddad; Mohamed Abouelela; Graham Hancox; Fran Pilkington-Cheney; Tom Brijs; Constantinos Antoniou
Pubblicato in: Sustainability; Volume 14; Numero 19; Pages: 12017, Numero 22, 2022, ISSN 2071-1050
Editore: MDPI Open Access Publishing
DOI: 10.3390/su141912017

Developing an Enriched Multi–source Data Collection Framework for Driving Behavior Modeling

Autori: Christelle Al Haddad
Pubblicato in: 2022
Editore: Technical University of Munich

È in corso la ricerca di dati su OpenAIRE...

Si è verificato un errore durante la ricerca dei dati su OpenAIRE

Nessun risultato disponibile