Exploring the Impact of Autonomous Taxis on People with Disabilities

Sharma, Shravani; Woodman, Roger; Elliott, Mark T.

doi:10.1109/itsc57777.2023.10421862

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) 2023

DOI: 10.1109/itsc57777.2023.10421862

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Exploring the Impact of Autonomous Taxis on People with Disabilities

Shravani Sharma,

Roger Woodman,

Mark T. Elliott

Abstract: How to cite:Please refer to published version for the most recent bibliographic citation information. If a published version is known of, the repository item page linked to above, will contain details on accessing it.

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Incorporating Human Factors into Scenario Languages for Automated Driving Systems

Dodoiu,

da Costa,

Khastgir

et al. 2024

2024 IEEE Intelligent Vehicles Symposium (IV)

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Scenario-based testing for automated driving systems (ADS) is an industry norm for safety assurance. A scenario describes situations that an automated driving systems may encounter during its operation. To ensure accurate representation of real-world situations, including human behavior and system interactions, a formal language is essential. It ensures consistent testing across diverse scenarios and facilitates compatibility with simulation tools. However, while existing scenario languages excel in describing environmental and road structure aspects, they lack the same detail for road users and drivers. We have developed a methodology to identify and incorporate relevant human factors elements into scenario languages. Our methodology focuses on understanding diverse individuals and their interactions with ADS on the road, enabling their representation in scenarios. We offer practical examples to improve language representation of human elements and actions, in WMG-SDL Level-2 for logical scenarios and BSI Flex 1889 for abstract scenario descriptions. This methodology serves as a starting point for language designers to accurately represent all road users and their interactions with ADS.

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Incorporating Human Factors into Scenario Languages for Automated Driving Systems

Dodoiu,

da Costa,

Khastgir

et al. 2024

2024 IEEE Intelligent Vehicles Symposium (IV)

View full text Add to dashboard Cite

show abstract

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Exploring the Impact of Autonomous Taxis on People with Disabilities

Abstract: How to cite:Please refer to published version for the most recent bibliographic citation information. If a published version is known of, the repository item page linked to above, will contain details on accessing it.

Cited by 1 publication

References 18 publications

Incorporating Human Factors into Scenario Languages for Automated Driving Systems

Incorporating Human Factors into Scenario Languages for Automated Driving Systems

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