Simulator evaluation of an intersection maneuver assist system with connected and automated vehicle technologies

被引:1
|
作者
Pradhan, Anuj K. [1 ]
Pai, Ganesh [1 ]
Jeong, Heejin [2 ]
Bao, Shan [3 ]
机构
[1] Univ Massachusetts, Dept Mech & Ind Engn, Amherst, MA 01003 USA
[2] Univ Illinois, Dept Mech & Ind Engn, Chicago, IL USA
[3] Univ Michigan, Ind & Mfg Syst Engn, Dearborn, MI 48128 USA
关键词
Connected vehicles; vehicle automation; human machine interface; hazard anticipation; driving simulation; ADAPTIVE CRUISE CONTROL; BEHAVIORAL ADAPTATION; NAVIGATION SYSTEMS; WARNING SYSTEMS; OLDER; DRIVERS; TRUST; WORKLOAD; YOUNG; INFORMATION;
D O I
10.1080/00140139.2022.2121006
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Intersection crashes can be potentially mitigated through vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) safety management systems. It is important, however, to consider some of the human factors related aspects of such systems to maximise potential safety benefits. In this study, Intersection Manoeuvre Assistance Systems were conceptualised and evaluated in a driving simulator. The systems were designed to assist drivers with intersection manoeuvres by making use of connected infrastructure and providing real-time feedback, guidance, and active vehicle controls. The study compared drivers' confidence, workload, glances at the instrument panel, and hazard anticipation when driving using three systems-System A (no alert or assist); System B (alert only); and System C (alert and assist). Study results show differences in drivers' confidence in such systems and potentially degraded visual gaze behaviours. Practitioner summary: Connected infrastructure-based intersection management assistance systems can potentially reduce crashes. This experimental driving simulation study evaluated drivers' perceptions and reactions to intersection management systems. Results indicate reduced confidence in automated systems, reduced visual scanning for external hazards at intersections, and increased off-road glances towards the instrument panel.
引用
收藏
页码:999 / 1014
页数:16
相关论文
共 50 条
  • [31] Development and Evaluation of Cooperative Intersection Management Algorithm under Connected and Automated Vehicles Environment
    Gutesa, Slobodan
    Lee, Joyoung
    Besenski, Dejan
    TRANSPORTATION RESEARCH RECORD, 2021, 2675 (07) : 94 - 104
  • [32] Drivers' Reaction to Connected and Automated Vehicle Safety Applications in the Vicinity of a Work Zone: A Driving Simulator Study
    Khadem, Nashid K.
    Kabir, Md. Muhib
    Abujana, Joseph
    Jeihani, Mansoureh
    INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2023: TRANSPORTATION SAFETY AND EMERGING TECHNOLOGIES, 2023, : 274 - 285
  • [33] Stability criteria and evaluation of steering maneuver in `driver-vehicle system'
    Harada, Hiroshi
    JSME International Journal, Series C: Dynamics, Control, Robotics, Design and Manufacturing, 1994, 37 (01): : 115 - 122
  • [34] Design and evaluation of a model predictive vehicle control algorithm for automated driving using a vehicle traffic simulator
    Suh, Jongsang
    Yi, Kyongsu
    Jung, Jiyeol
    Lee, Kyungjun
    Chong, Hyokjin
    Ko, Bongchul
    CONTROL ENGINEERING PRACTICE, 2016, 51 : 92 - 107
  • [35] Perception, Awareness, and Importance of Preparing for Connected and Automated Vehicle (CAV) Technologies: A Survey of Louisiana Organizations
    Melson, Christopher
    Ma, Jiaqi
    TRAN-SET 2020: PROCEEDINGS OF THE TRAN-SET CONFERENCE 2020, 2021, : 18 - 27
  • [36] Evaluation of detection sensitivity and count performance of advanced vehicle detection technologies at a signalized intersection
    Moshiri, Maryam
    Montufar, Jeannette
    JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 21 (01) : 52 - 62
  • [37] Flight Simulator Fidelity Evaluation Automated Test System Analysis
    Wang, Chunguang
    Han, Junwei
    Li, Guixian
    Jiang, Hongzhou
    2008 INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND TRAINING AND 2008 INTERNATIONAL WORKSHOP ON GEOSCIENCE AND REMOTE SENSING, VOL 2, PROCEEDINGS,, 2009, : 726 - 728
  • [38] Deep Reinforcement Learning Based Left-Turn Connected and Automated Vehicle Control at Signalized Intersection in Vehicle-to-Infrastructure Environment
    Chen, Juan
    Xue, Zhengxuan
    Fan, Daiqian
    INFORMATION, 2020, 11 (02)
  • [39] A Co-Benefit and Tradeoff Evaluation Framework for Connected and Automated Vehicle Applications
    Tian, Danyang
    Wu, Guoyuan
    Boriboonsomsin, Kanok
    Barth, Matthew J.
    2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017), 2017, : 953 - 958
  • [40] Collaborative control of traffic signal and variable guiding lane for isolated intersection under connected and automated vehicle environment
    Ding, Chuan
    Dai, Rongjian
    Fan, Yue
    Zhang, Zhao
    Wu, Xinkai
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2022, 37 (15) : 2052 - 2069