Segui
Xiaolin He
Titolo
Citata da
Citata da
Anno
Probabilistic field approach for motorway driving risk assessment
FA Mullakkal-Babu, M Wang, X He, B van Arem, R Happee
Transportation research part C: emerging technologies 118, 102716, 2020
532020
Modelling perceived risk and trust in driving automation reacting to merging and braking vehicles
X He, J Stapel, M Wang, R Happee
Transportation research part F: traffic psychology and behaviour 86, 178-195, 2022
372022
Perceived safety and trust in SAE Level 2 partially automated cars: Results from an online questionnaire
S Nordhoff, J Stapel, X He, A Gentner, R Happee
Plos one 16 (12), e0260953, 2021
242021
Performance evaluation of surrogate measures of safety with naturalistic driving data
C Lu, X He, H van Lint, H Tu, R Happee, M Wang
Accident Analysis & Prevention 162, 106403, 2021
192021
Driver lane keeping characteristic indices for personalized lane keeping assistance system
X Lan, H Chen, X He, J Chen, Y Nishimura, K Ando, K Kitahara
SAE Technical Paper, 2017
52017
Evaluation and Optimization of Driver Steering Override Strategy for LKAS Based on Driver’s Acceptability
X He, H Chen, J Chen, W Ran, Y Nishimura, K Ando
SAE Technical Paper, 2018
32018
The influence of a colour themed HMI on trust and take-over performance in automated vehicles
A El Jouhri, A El Sharkawy, H Paksoy, O Youssif, X He, S Kim, R Happee
Frontiers in Psychology 14, 1128285, 2023
22023
Designing user interfaces for partially automated vehicles: effects of information and modality on trust and acceptance
S Kim, X He, R van Egmond, R Happee
Available at SSRN 4416114, 0
2
Do driver’s characteristics, system performance, perceived safety, and trust influence how drivers use partial automation? A structural equation modelling analysis
S Nordhoff, J Stapel, X He, A Gentner, R Happee
Frontiers in Psychology 14, 1125031, 2023
12023
Methodological Framework for Modelling and Empirical Approaches (Deliverable D1. 1 in the H2020 MSCA ITN project SHAPE-IT)
N Figalová, S Jokhio, M Nasser, NY Mbelekani, C Zang, Y Yang, C Peng, ...
SHAPE-IT Consortium, 2021
12021
A new computational perceived risk model for automated vehicles based on potential collision avoidance difficulty (PCAD)
X He, R Happee, M Wang
arXiv preprint arXiv:2306.08458, 2023
2023
Design guidelines for acceptable, transparent, and safe AVs in urban environments: Deliverable 2.6 in the EC ITN project SHAPE-IT
N Merat, YM Lee, C Peng, N Figalova, N Mbelekani, AP Muhammad, ...
SHAPE-IT Consortium, 2023
2023
Data and data collection methodologies for the development of computational models of AV/VRU interaction and their integration into virtual simulation testing of AV …
M Dozza, A Mohammadi, X Yang, C Zhang, X He, AH Kalantari, S Jokhio, ...
SHAPE-IT Consortium, 2023
2023
Exploring the Factors of Perceived Safety and Trust in SAE Level 2 Partially Automated Cars Using Principal Component Analysis
S Nordhoff, J Stapel, X He, A Gentner, R Happee
Available at SSRN 4156405, 0
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Articoli 1–14