Authorship：Last author   Language：English   Publishing type：Research paper (other academic)  

Publisher：2023 IEEE/SICE International Symposium on System Integration, SII 2023  

To realize safe autonomous driving, verification of performance is one of the most important steps in the design process. Verification of autonomous driving using real vehicles, however, has many difficulties in terms of cost and safety. Therefore, it is important to exploit the verification based on simulation. Effective verification using simulation requires precise behavior models that can represent ambiguous human decisions and motions with a wide diversity. From these perspectives, this paper presents how to model the drivers' and pedestrians' decision-making and motions, particularly in the interactive situation. The targeted task is passing the road without traffic signals, where traffic participants have to check other vehicles for their decision-making and motion. To observe their interactive behaviors, experiments are executed by using an interactive simulator which consists of driving simulators and virtual reality (VR) devices for pedestrians. From the observed interactive data, drivers' and pedestrians' behavior models are constructed by using a logistic regression model and linear motion model. Since the human behavior varies from person to person, this paper discusses the relation between the obtained model parameter and individual characteristics. In addition, these behaviors are classified and evaluated.

DOI： 10.1109/SII55687.2023.10039251

Web of Science

Scopus

Publisher：2022 IEEE/SICE International Symposium on System Integration, SII 2022  

With the development of autonomous driving technology, verifying the system by a simulator is an essential process, and pedestrians' behavior is a particularly important factor in the process. To express the pedestrians' behavior, this paper proposes the model of pedestrians' crossing decisions for a non-signalized intersection, where pedestrian fatalities are the most frequent environment in Japan. This crossing decision, whether to go through a crosswalk or to wait for a vehicle, is an interactive factor that is influenced by other traffic participants. For this reason, we developed a multi-player interactive simulator, in which vehicles and pedestrians can be controlled by the humans. This simulator makes it easy to measure the crossing decision data that takes into account the differences in individual characteristics. Besides, the decision model was constructed for this simulation data, and multi-class logistic regression was used as the model to express human decision ambiguity. The individual decision characteristics were analyzed by the logistic regression model in two- and three-person interactive situations. Finally, to evaluate the performance and decision characteristics of the model, simulation experiments were conducted for 15 groups.

DOI： 10.1109/SII52469.2022.9708841

Web of Science

Scopus

Authorship：Last author   Language：Japanese   Publishing type：Research paper (scientific journal)  

Event date： 2023.11

Language：Japanese   Presentation type：Oral presentation (general)  

Event date： 2023.10

Language：Japanese   Presentation type：Oral presentation (general)  

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Language：Japanese   Presentation type：Oral presentation (general)  

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Event date： 2023.9

Language：Japanese   Presentation type：Poster presentation  

Event date： 2023.8

Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Venue：名古屋大学   Country：Japan  

Event date： 2023.8

Language：Japanese   Presentation type：Oral presentation (general)  

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Event date： 2023.6

Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Venue：東京ビッグサイト   Country：Japan  

Event date： 2023.6

Language：English   Presentation type：Oral presentation (general)  

Event date： 2023.6

Language：Japanese   Presentation type：Poster presentation  

Event date： 2023.1

Language：Japanese   Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Event date： 2022.10

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Event date： 2021.10

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Event date： 2021.5

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Event date： 2020.12

Language：Japanese   Presentation type：Oral presentation (general)  

Event date： 2020.10

Language：Japanese   Presentation type：Oral presentation (general)