Driver Monitoring for a Driver-Centered Design and Assessment of a Merging Assistance System Based on V2V Communications

Merging is one of the most critical scenarios that can be found in road transport. In this maneuver, the driver is subjected to a high mental load due to the large amount of information he handles, while making decisions becomes a crucial issue for their safety and those in adjacent vehicles. In pre...

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Main Authors: Sofia Sánchez–Mateo, Elisa Pérez–Moreno, Felipe Jiménez
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/19/5582
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author Sofia Sánchez–Mateo
Elisa Pérez–Moreno
Felipe Jiménez
author_facet Sofia Sánchez–Mateo
Elisa Pérez–Moreno
Felipe Jiménez
author_sort Sofia Sánchez–Mateo
collection DOAJ
description Merging is one of the most critical scenarios that can be found in road transport. In this maneuver, the driver is subjected to a high mental load due to the large amount of information he handles, while making decisions becomes a crucial issue for their safety and those in adjacent vehicles. In previous works, it was studied how the merging maneuver affected the cognitive load required for driving by means of an eye tracking system, justifying the proposal of a driver assistance system for the merging maneuver on highways. This paper presents a merging assistance system based on communications between vehicles, which allows vehicles to share internal variables of position and speed and is implemented on a mobile device located inside the vehicle. The system algorithm decides where and when the vehicle can start the merging maneuver in safe conditions and provides the appropriate information to the driver. Parameters and driving simulator tests are used for the interface definition to develop the less intrusive and demanding one. Afterward, the system prototype was installed in a real passenger car and tests in real scenarios were conducted with several drivers to assess usability and mental load. Comparisons among alternative solutions are shown and effectiveness is assessed.
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spelling doaj.art-d21e9ac213494e11b2e8348376e6bd012023-12-03T12:03:53ZengMDPI AGSensors1424-82202020-09-012019558210.3390/s20195582Driver Monitoring for a Driver-Centered Design and Assessment of a Merging Assistance System Based on V2V CommunicationsSofia Sánchez–Mateo0Elisa Pérez–Moreno1Felipe Jiménez2University Institute for Automobile Research (INSIA), Universidad Politécnica de Madrid (UPM), 28031 Madrid, SpainPsychology Faculty, Universidad Complutense de Madrid, Campus de Somosaguas, Pozuelo de Alarcón, 28223 Madrid, SpainUniversity Institute for Automobile Research (INSIA), Universidad Politécnica de Madrid (UPM), 28031 Madrid, SpainMerging is one of the most critical scenarios that can be found in road transport. In this maneuver, the driver is subjected to a high mental load due to the large amount of information he handles, while making decisions becomes a crucial issue for their safety and those in adjacent vehicles. In previous works, it was studied how the merging maneuver affected the cognitive load required for driving by means of an eye tracking system, justifying the proposal of a driver assistance system for the merging maneuver on highways. This paper presents a merging assistance system based on communications between vehicles, which allows vehicles to share internal variables of position and speed and is implemented on a mobile device located inside the vehicle. The system algorithm decides where and when the vehicle can start the merging maneuver in safe conditions and provides the appropriate information to the driver. Parameters and driving simulator tests are used for the interface definition to develop the less intrusive and demanding one. Afterward, the system prototype was installed in a real passenger car and tests in real scenarios were conducted with several drivers to assess usability and mental load. Comparisons among alternative solutions are shown and effectiveness is assessed.https://www.mdpi.com/1424-8220/20/19/5582driver monitoringautomated vehiclesconnected vehiclesmerging maneuverhuman–machine interface
spellingShingle Sofia Sánchez–Mateo
Elisa Pérez–Moreno
Felipe Jiménez
Driver Monitoring for a Driver-Centered Design and Assessment of a Merging Assistance System Based on V2V Communications
Sensors
driver monitoring
automated vehicles
connected vehicles
merging maneuver
human–machine interface
title Driver Monitoring for a Driver-Centered Design and Assessment of a Merging Assistance System Based on V2V Communications
title_full Driver Monitoring for a Driver-Centered Design and Assessment of a Merging Assistance System Based on V2V Communications
title_fullStr Driver Monitoring for a Driver-Centered Design and Assessment of a Merging Assistance System Based on V2V Communications
title_full_unstemmed Driver Monitoring for a Driver-Centered Design and Assessment of a Merging Assistance System Based on V2V Communications
title_short Driver Monitoring for a Driver-Centered Design and Assessment of a Merging Assistance System Based on V2V Communications
title_sort driver monitoring for a driver centered design and assessment of a merging assistance system based on v2v communications
topic driver monitoring
automated vehicles
connected vehicles
merging maneuver
human–machine interface
url https://www.mdpi.com/1424-8220/20/19/5582
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