Modeling collision risk for unsafe lane-changing behavior: A lane-changing risk index approach
The lane-changing maneuvers are challenging and contributes to traffic accidents and crashes. They are complicated task that often lead to an increased risk of vehicle collisions and deteriorates traffic flow. This paper proposes a vehicle collision risk model based on vehicle lane-changing movement...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-02-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824000395 |
| _version_ | 1797320969513074688 |
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| author | Muhammad Sameer Sheikh Yinqiao Peng |
| author_facet | Muhammad Sameer Sheikh Yinqiao Peng |
| author_sort | Muhammad Sameer Sheikh |
| collection | DOAJ |
| description | The lane-changing maneuvers are challenging and contributes to traffic accidents and crashes. They are complicated task that often lead to an increased risk of vehicle collisions and deteriorates traffic flow. This paper proposes a vehicle collision risk model based on vehicle lane-changing movement for autonomous vehicles using the probability threat assessment approach and the lane-changing risk index (LCRI). Given two vehicles, A and B, we first estimate the movements of vehicle B using a GPS device, which accurately identifies the vehicle while changing lanes. We then evaluate the collision risks between vehicles using the probabilistic assessment approach to determine whether a collision event occurs at a later stage. Then, we propose the LCRI, which aims to identify the risk level associated with vehicle lane-changing movement and determine the severity of the crash level. In this study, the HighD vehicle trajectory dataset is used to obtain accurate traffic information and help us investigating collision risks among vehicles. The results show that the proposed model can identify the risks of collision ahead of time. Furthermore, the random parameter ordered logit (RPOL) with heterogeneity model achieves better performance and provides a good fit model and measures for improving traffic safety. |
| first_indexed | 2024-03-08T04:51:45Z |
| format | Article |
| id | doaj.art-846647dd40e7477aaff43f64e111266f |
| institution | Directory Open Access Journal |
| issn | 1110-0168 |
| language | English |
| last_indexed | 2024-03-08T04:51:45Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj.art-846647dd40e7477aaff43f64e111266f2024-02-08T05:04:31ZengElsevierAlexandria Engineering Journal1110-01682024-02-0188164181Modeling collision risk for unsafe lane-changing behavior: A lane-changing risk index approachMuhammad Sameer Sheikh0Yinqiao Peng1Corresponding author.; School of Electronics and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, ChinaSchool of Electronics and Information Engineering, Guangdong Ocean University, Zhanjiang 524088, ChinaThe lane-changing maneuvers are challenging and contributes to traffic accidents and crashes. They are complicated task that often lead to an increased risk of vehicle collisions and deteriorates traffic flow. This paper proposes a vehicle collision risk model based on vehicle lane-changing movement for autonomous vehicles using the probability threat assessment approach and the lane-changing risk index (LCRI). Given two vehicles, A and B, we first estimate the movements of vehicle B using a GPS device, which accurately identifies the vehicle while changing lanes. We then evaluate the collision risks between vehicles using the probabilistic assessment approach to determine whether a collision event occurs at a later stage. Then, we propose the LCRI, which aims to identify the risk level associated with vehicle lane-changing movement and determine the severity of the crash level. In this study, the HighD vehicle trajectory dataset is used to obtain accurate traffic information and help us investigating collision risks among vehicles. The results show that the proposed model can identify the risks of collision ahead of time. Furthermore, the random parameter ordered logit (RPOL) with heterogeneity model achieves better performance and provides a good fit model and measures for improving traffic safety.http://www.sciencedirect.com/science/article/pii/S1110016824000395Collision riskLane-changing riskLane-changing movementsSafetyThreats |
| spellingShingle | Muhammad Sameer Sheikh Yinqiao Peng Modeling collision risk for unsafe lane-changing behavior: A lane-changing risk index approach Alexandria Engineering Journal Collision risk Lane-changing risk Lane-changing movements Safety Threats |
| title | Modeling collision risk for unsafe lane-changing behavior: A lane-changing risk index approach |
| title_full | Modeling collision risk for unsafe lane-changing behavior: A lane-changing risk index approach |
| title_fullStr | Modeling collision risk for unsafe lane-changing behavior: A lane-changing risk index approach |
| title_full_unstemmed | Modeling collision risk for unsafe lane-changing behavior: A lane-changing risk index approach |
| title_short | Modeling collision risk for unsafe lane-changing behavior: A lane-changing risk index approach |
| title_sort | modeling collision risk for unsafe lane changing behavior a lane changing risk index approach |
| topic | Collision risk Lane-changing risk Lane-changing movements Safety Threats |
| url | http://www.sciencedirect.com/science/article/pii/S1110016824000395 |
| work_keys_str_mv | AT muhammadsameersheikh modelingcollisionriskforunsafelanechangingbehavioralanechangingriskindexapproach AT yinqiaopeng modelingcollisionriskforunsafelanechangingbehavioralanechangingriskindexapproach |