A Driving Simulator Study for Assessing the Potential of Augmented Reality Technology to Improve the Safety of Passing Maneuvers

被引:0
|
作者
Calvi, Alessandro [1 ]
D'Amico, Fabrizio [1 ]
Ferrante, Chiara [1 ]
Ciampoli, Luca Bianchini [1 ]
机构
[1] Roma Tre Univ, Dept Engn, Rome, Italy
关键词
Augmented Reality; driving simulation; road safety; driving performance; passing maneuver; DRIVERS;
D O I
10.1109/MT-ITS49943.2021.9529339
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An important safety issue on two-lane rural roads relates to overtaking crashes where one vehicle attempts to overtake a slow-moving vehicle traveling in the same direction. Overtaking involves a complex decision-making process, whereby drivers must await an adequate gap in oncoming traffic to safely complete am overtaking maneuver; in this context, an incorrect gap assessment can lead to serious head-on collisions. The application of in-vehicle Augmented Reality (AR) technology could optimize the driver's visual attention, by providing him/her with additional visual feedbacks to improve both perception and decision-making process. This study focuses on a novel AR application aimed at improving the safety of overtaking maneuvers by means of various AR video and audio warnings. A driving simulator study was carried out to test the effectiveness of the proposed AR system and assess the potential of drivers to select suitable gaps in the oncoming traffic to safely perform the overtaking maneuver, with and without the AR warnings. Significant positive effects of AR warnings on traffic safety and operation were observed, thereby demonstrating the several benefits of integrating AR and connected vehicles technologies.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Evaluation of augmented reality cues to improve the safety of left-turn maneuvers in a connected environment: A driving simulator study
    Calvi, Alessandro
    D'Amico, Fabrizio
    Ferrante, Chiara
    Ciampoli, Luca Bianchini
    ACCIDENT ANALYSIS AND PREVENTION, 2020, 148 (148):
  • [2] Effectiveness of augmented reality warnings on driving behaviour whilst approaching pedestrian crossings: A driving simulator study
    Calvi, Alessandro
    D'Amico, Fabrizio
    Ferrante, Chiara
    Ciampoli, Luca Bianchini
    ACCIDENT ANALYSIS AND PREVENTION, 2020, 147
  • [3] Assessing the Potential of Augmented Reality in Education
    Guntur, Muhamad Ikhsan Sahal
    Setyaningrum, Wahyu
    Retnawati, Heri
    Marsigit, M.
    2020 11TH INTERNATIONAL CONFERENCE ON E-EDUCATION, E-BUSINESS, E-MANAGEMENT, AND E-LEARNING (IC4E 2020), 2020, : 93 - 97
  • [4] Multiple passing maneuvers: New design and marking criteria to improve safety
    Llorca, C.
    Moreno, A.T.
    García, A.
    Pérez Zuriaga, A.-M.
    Advances in Transportation Studies, 2014, 2 (SPECIAL ISSUE): : 71 - 82
  • [5] In-vehicle augmented reality TSR to improve driving safety and enhance the driver’s experience
    Lotfi Abdi
    Aref Meddeb
    Signal, Image and Video Processing, 2018, 12 : 75 - 82
  • [6] In-vehicle augmented reality TSR to improve driving safety and enhance the driver's experience
    Abdi, Lotfi
    Meddeb, Aref
    SIGNAL IMAGE AND VIDEO PROCESSING, 2018, 12 (01) : 75 - 82
  • [7] Augmented Reality to Improve Public Awareness and Safety at The Beach
    Alarcao, Rodrigo
    Pestana, Gabriel
    PROCEEDINGS OF 2021 16TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI'2021), 2021,
  • [8] Assessing the driving behaviour of motorcyclists to improve road safety
    Charef, Ayoub
    Jarir, Zahi
    Quafafou, Mohamed
    JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 2024, 30 (05) : 617 - 644
  • [9] In-vehicle augmented reality system to provide driving safety information
    Abdi, Lotfi
    Meddeb, Aref
    JOURNAL OF VISUALIZATION, 2018, 21 (01) : 163 - 184
  • [10] Mobile Application with Augmented Reality to Improve Learning in Science and Technology
    Gamboa-Ramos, Miriam
    Gomez-Noa, Ricardo
    Iparraguirre-Villanueva, Orlando
    Cabanillas-Carbonell, Michael
    Herrera Salazar, Jose Luis
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (10) : 487 - 492