The Prevalence of Automated Vehicles (with eHMIs) May Influence Pedestrian-Vehicle Interactions

被引：0
|
作者：
Eisele, Daniel [1 ]
Bubeck, Carla B. [1 ]
Rudolf, Matthias [2 ]
Petzoldt, Tibor [1 ]
机构：
[1] Tech Univ Dresden, Chair Traff & Transportat Psychol, Dresden, Germany
[2] Tech Univ Dresden, Chair Psychol Methods & Cognit Modelling, Dresden, Germany
来源：
PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS, AUTOMOTIVEUI 2024 | 2024年
关键词：
market penetration; explicit communication; vulnerable road user; human-robot interaction; GAP ACCEPTANCE; MENTAL MODELS; BEHAVIOR; DESIGN; ISSUES; NEEDS;
D O I：
10.1145/3640792.3675723
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The proportion of highly automated vehicles in traffic (i.e., the prevalence of AVs) is likely to increase over time. The aim of this study was to investigate whether the prevalence of AVs may influence how pedestrians interact with AVs and with conventional, human-driven vehicles (CVs). A video-based laboratory study was conducted using a two-group mixed design. Participants took the perspective of pedestrians about to cross the road in a situation where AVs (with eHMIs) and CVs were approaching their position. The prevalence of AVs was manipulated between groups ( low/high). The participants indicated the moment they decided to cross in front of the vehicles. Our results show that AV prevalence did indeed significantly influence when participants decided to cross. Overall, participants decided to cross earlier in front of the more prevalent vehicle type. Therefore, taking into account the given prevalence of AVs could significantly benefit AVs in predicting pedestrian behavior.
引用
收藏
页码：329 / 337
页数：9
相关论文
共 42 条
  • [31] The Effects of Explicit Intention Communication, Conspicuous Sensors, and Pedestrian Attitude in Interactions with Automated Vehicles
    Ackermans, Sander
    Dey, Debargha
    Ruijten, Peter
    Cuijpers, Raymond H.
    Pfleging, Bastian
    PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20), 2020,
  • [32] THE EFFECT OF DYNAMIC SPEED INFORMATION AND TIMING OF DISPLAYING EHMI ON AUTOMATED VEHICLE AND PEDESTRIAN INTERACTIONS
    She, Jinjuan
    Islam, Marufa
    Zhou, Feng
    PROCEEDINGS OF ASME 2021 INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, IDETC-CIE2021, VOL 6, 2021,
  • [33] Influence of driver's yielding behavior on pedestrian-vehicle conflicts at a two-lane roundabout using fuzzy cellular automata
    Li Chuan-yao
    Liu Shi-kun
    Xu Guang-ming
    Cen Xue-kai
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2022, 29 (01) : 346 - 358
  • [34] Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning
    Kalatian, Arash
    Farooq, Bilal
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2021, 124
  • [35] Pedestrian-vehicle interactions at unsignalized mid-block crosswalks: Effects on traffic flow, CO2 emissions, and energy dissipation
    Cruz, Jose Roberto Perez
    Lakouari, Noureddine
    Marzoug, Rachid
    Sansalvador, Julio Cesar Perez
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2023, 630
  • [36] Data Transmission Performance of DSRC (5.8GHz) typed Pedestrian-Vehicle Communication to Avoid Conflict between Right-Turn Vehicles and Pedestrians, Part 2
    Hagiwara, Toru
    Uchibori, Daisuke
    Hamaoka, Hidekatsu
    Hirano, Ryousuke
    Hamaguchi, Masaru
    Nakabayashi, Shoichi
    Munehiro, Kazunori
    Takemoto, Azuma
    Suzuki, Katsumi
    INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH, 2015, 13 (02) : 75 - 83
  • [37] Using distributed simulations to investigate driver-pedestrian interactions and kinematic cues: Implications for automated vehicle behaviour and communication
    Yang, Yue
    Lee, Yee Mun
    Kalantari, Amir Hossein
    de Pedro, Jorge Garcia
    Horrobin, Anthony
    Daly, Michael
    Solernou, Albert
    Holmes, Christopher
    Markkula, Gustav
    Merat, Natasha
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2024, 107 : 84 - 97
  • [38] Matching vs. Mismatching Signals of External Human-Machine Interface and Vehicle Kinematics: An Examination of Pedestrian Crossing Behavior and Trust, Safety, and Affective Ratings in Interactions with Differently Sized Automated Vehicles
    Lau, Merle
    Wilbrink, Marc
    Oehl, Michael
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2024, 107 : 1092 - 1104
  • [39] Effects of in-vehicle auditory interactions on takeover performance in SAE L2 semi-automated vehicles
    Hwang, Jiwoo
    Choi, Woohyeok
    Kim, Auk
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2025, 196
  • [40] Modeling car-following behavior in heterogeneous traffic mixing human-driven, automated and connected vehicles: considering multitype vehicle interactions
    Song, Ziyu
    Ding, Haitao
    NONLINEAR DYNAMICS, 2023, 111 (12) : 11115 - 11134
12345