has been cited by the following article(s):
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[1]
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Autonomous vehicles and street design: Exploring the role of medians in enhancing pedestrian street crossing safety using a virtual reality experiment
Accident Analysis & Prevention,
2023
DOI:10.1016/j.aap.2023.107092
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[2]
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Novel trajectory prediction algorithm using a full dataset: comparison and ablation studies
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC),
2022
DOI:10.1109/ITSC55140.2022.9922591
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[3]
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Is the street-crossing behavior with a head-mounted display different from that behavior in a CAVE? A study among young adults and children
Transportation Research Part F: Traffic Psychology and Behaviour,
2021
DOI:10.1016/j.trf.2021.07.016
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[4]
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A least action principle for interceptive walking
Scientific Reports,
2021
DOI:10.1038/s41598-021-81722-6
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[5]
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Is the street-crossing behavior with a head-mounted display different from that behavior in a CAVE? A study among young adults and children
Transportation Research Part F: Traffic Psychology and Behaviour,
2021
DOI:10.1016/j.trf.2021.07.016
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[6]
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A least action principle for interceptive walking
Scientific Reports,
2021
DOI:10.1038/s41598-021-81722-6
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[7]
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Behavioral Dynamics of Pedestrians Crossing between Two Moving Vehicles
Applied Sciences,
2020
DOI:10.3390/app10030859
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[8]
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Age-related differences in the perception of gap affordances: Impact of standardized action capabilities on road-crossing judgements
Accident Analysis & Prevention,
2019
DOI:10.1016/j.aap.2019.05.001
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[9]
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Gap acceptance study of pedestrians crossing between platooning autonomous vehicles in a virtual environment
Transportation Research Part F: Traffic Psychology and Behaviour,
2019
DOI:10.1016/j.trf.2019.09.017
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