Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data
Abstract Using turn signals to convey a driver's intention to change lanes provides a direct and unambiguous way of communicating with nearby drivers. Nonetheless, past research has indicated that drivers may not always use their turn signals before starting a lane change. In this study, realis...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-02-01
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| Series: | IET Intelligent Transport Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/itr2.12457 |
| _version_ | 1797323589326733312 |
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| author | Sarang Jokhio Pierluigi Olleja Jonas Bärgman Fei Yan Martin Baumann |
| author_facet | Sarang Jokhio Pierluigi Olleja Jonas Bärgman Fei Yan Martin Baumann |
| author_sort | Sarang Jokhio |
| collection | DOAJ |
| description | Abstract Using turn signals to convey a driver's intention to change lanes provides a direct and unambiguous way of communicating with nearby drivers. Nonetheless, past research has indicated that drivers may not always use their turn signals before starting a lane change. In this study, realistic driving data are analyzed to investigate turn signal usage during lane changes on highways in and around Gothenburg, Sweden. Turn signal usage is examined and factors that influence it are identified by employing Bayesian hierarchical modelling. The study found that drivers used their turn signal before changing lanes in 60% of cases, after starting the lane change in 33% of cases, and did not use it at all in 7% of cases. The Bayesian hierarchical modelling results indicate that various factors, such as the speed and direction of lane changes and the presence of surrounding vehicles, influence the usage of turn signals. The study concludes that understanding the factors affecting turn signal usage is crucial for improving traffic safety in current and future mixed traffic with autonomous vehicles. The study discusses the implications of findings concerning increasing turn signal compliance through general policy‐making, improving existing in‐vehicle technologies and including turn signal usage in Pay‐As‐You‐Drive insurances. |
| first_indexed | 2024-03-08T05:30:47Z |
| format | Article |
| id | doaj.art-501e098d5311443284499efac6b2bf9e |
| institution | Directory Open Access Journal |
| issn | 1751-956X 1751-9578 |
| language | English |
| last_indexed | 2024-03-08T05:30:47Z |
| publishDate | 2024-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Intelligent Transport Systems |
| spelling | doaj.art-501e098d5311443284499efac6b2bf9e2024-02-06T07:08:45ZengWileyIET Intelligent Transport Systems1751-956X1751-95782024-02-0118239340810.1049/itr2.12457Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving dataSarang Jokhio0Pierluigi Olleja1Jonas Bärgman2Fei Yan3Martin Baumann4Department of Human Factors Institute of Psychology and Education Ulm University Ulm GermanyDivision of Vehicle Safety Department of Mechanics and Maritime Sciences Chalmers University of Technology Gothenburg SwedenDivision of Vehicle Safety Department of Mechanics and Maritime Sciences Chalmers University of Technology Gothenburg SwedenDepartment of Human Factors Institute of Psychology and Education Ulm University Ulm GermanyDepartment of Human Factors Institute of Psychology and Education Ulm University Ulm GermanyAbstract Using turn signals to convey a driver's intention to change lanes provides a direct and unambiguous way of communicating with nearby drivers. Nonetheless, past research has indicated that drivers may not always use their turn signals before starting a lane change. In this study, realistic driving data are analyzed to investigate turn signal usage during lane changes on highways in and around Gothenburg, Sweden. Turn signal usage is examined and factors that influence it are identified by employing Bayesian hierarchical modelling. The study found that drivers used their turn signal before changing lanes in 60% of cases, after starting the lane change in 33% of cases, and did not use it at all in 7% of cases. The Bayesian hierarchical modelling results indicate that various factors, such as the speed and direction of lane changes and the presence of surrounding vehicles, influence the usage of turn signals. The study concludes that understanding the factors affecting turn signal usage is crucial for improving traffic safety in current and future mixed traffic with autonomous vehicles. The study discusses the implications of findings concerning increasing turn signal compliance through general policy‐making, improving existing in‐vehicle technologies and including turn signal usage in Pay‐As‐You‐Drive insurances.https://doi.org/10.1049/itr2.12457Turn signal usageLane changingRealistic driving dataAutonomous vehiclesBayesian hierarchical modelling |
| spellingShingle | Sarang Jokhio Pierluigi Olleja Jonas Bärgman Fei Yan Martin Baumann Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data IET Intelligent Transport Systems Turn signal usage Lane changing Realistic driving data Autonomous vehicles Bayesian hierarchical modelling |
| title | Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data |
| title_full | Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data |
| title_fullStr | Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data |
| title_full_unstemmed | Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data |
| title_short | Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data |
| title_sort | exploring turn signal usage patterns in lane changes a bayesian hierarchical modelling analysis of realistic driving data |
| topic | Turn signal usage Lane changing Realistic driving data Autonomous vehicles Bayesian hierarchical modelling |
| url | https://doi.org/10.1049/itr2.12457 |
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