Autonomous Driving Styles: Exploring User Preferences for Lateral Behavior on Rural Roads

Kernekoncepter

Passengers prefer a more passive lateral driving style for autonomous vehicles on rural roads, especially under adverse weather conditions and in the presence of oncoming traffic.

Resumé

The study explores the influence of driving context on lateral driving style preferences for autonomous vehicles on rural roads. A controlled driving simulator study was conducted with 42 German participants, 32 of whom fully participated.

The key highlights and insights are:

• Participants showed a notable preference for a more passive lateral driving style compared to sportier styles. The passive driving style was rated as significantly more relaxing, comfortable, and satisfactory than the sportive style.

• Weather conditions and oncoming traffic substantially influenced the perceived comfort during autonomous rides. The sportive driving style was rated as significantly less relaxing under rainy conditions compared to clear weather.

• Participants' trust in the autonomous system was higher for the passive and rail driving styles compared to the sportive style. The passive style was rated as having better situation assessment capability and system transparency.

• The study could not confirm the hypothesis that subjects prefer to be driven by mimicking their own driving behavior. The replay of participants' own driving was not rated as highly as the passive and rail styles.

• The dataset from this study has been made publicly available to facilitate further research on driving style preferences in autonomous vehicles.

Statistik

The lateral acceleration values for the passive, rail, and sportive driving styles were 3.90 m/s^2, 4.731 m/s^2, and 5.653 m/s^2 respectively.
The longitudinal acceleration limits for the passive, rail, and sportive driving styles were -3.104 m/s^2 to 2.108 m/s^2, -3.916 m/s^2 to 3.206 m/s^2, and -4.847 m/s^2 to 4.235 m/s^2 respectively.

Citater

"Passengers prefer a more passive lateral driving style for autonomous vehicles on rural roads, especially under adverse weather conditions and in the presence of oncoming traffic."
"The sportive driving style was rated as significantly less relaxing under rainy conditions compared to clear weather."
"Participants' trust in the autonomous system was higher for the passive and rail driving styles compared to the sportive style."

Vigtigste indsigter udtrukket fra

Exploring the Influence of Driving Context on Lateral Driving Style Preferences

by Joha... kl. arxiv.org 04-11-2024

https://arxiv.org/pdf/2402.14432.pdf

Dybere Forespørgsler

How do the findings from this study on rural roads compare to user preferences for autonomous driving styles in urban or highway environments?

The findings from this study on rural roads indicate that users have a preference for a more passive driving style when it comes to autonomous vehicles. This preference for a passive driving style may differ in urban or highway environments where users might have different expectations and comfort levels. In urban settings, users may prioritize efficiency and quick navigation through traffic, which could influence their preference for a more assertive or proactive driving style. Similarly, on highways, users may value a smooth and consistent driving experience, leading to a preference for a driving style that maintains a steady speed and lane position. Therefore, the user preferences for autonomous driving styles can vary based on the specific driving environment and the expectations of the users in those settings.

What other factors beyond weather and traffic, such as road geometry or passenger demographics, could influence the assessment of autonomous driving styles?

Several other factors beyond weather and traffic can influence the assessment of autonomous driving styles. Road geometry plays a crucial role in determining the comfort and safety of autonomous driving. Factors such as road curvature, lane width, road surface conditions, and the presence of obstacles or construction zones can impact how users perceive and evaluate the driving style of autonomous vehicles. Additionally, passenger demographics, including age, driving experience, and comfort levels with technology, can also influence the assessment of autonomous driving styles. Younger passengers may have different expectations and preferences compared to older passengers, while experienced drivers may have a more critical eye for the performance of autonomous systems.

How can the insights from this study be leveraged to develop autonomous driving systems that better align with user expectations and preferences?

The insights from this study can be leveraged to develop autonomous driving systems that better align with user expectations and preferences by incorporating user-centric design principles. By understanding the preferences and comfort levels of users in different driving contexts, developers can tailor the driving styles of autonomous vehicles to meet the diverse needs of passengers. This can involve implementing customizable driving modes that allow users to select their preferred style, providing real-time feedback on driving behavior, and integrating adaptive systems that adjust driving styles based on user feedback and environmental conditions. Additionally, conducting further research and user studies to continuously evaluate and refine autonomous driving systems based on user feedback and preferences can help ensure that these systems meet the expectations and requirements of a wide range of users.