On-road safety prompt framework for platoon
In recent years, researchers are very interested in the development of autonomous vehicle platoons that can be commercialized on a large scale. The research progress in this field raises the new demand for real-time traffic flow information and safety prediction. Therefore, an On-road Safety Prompt...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/167062 |
| _version_ | 1811687227088961536 |
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| author | Zhao, Nanbin Wang, Bohui Su, Rong |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Zhao, Nanbin Wang, Bohui Su, Rong |
| author_sort | Zhao, Nanbin |
| collection | NTU |
| description | In recent years, researchers are very interested in the development of autonomous vehicle platoons that can be commercialized on a large scale. The research progress in this field raises the new demand for real-time traffic flow information and safety prediction. Therefore, an On-road Safety Prompt Framework (OSPF) that combines the free space detection and lane change prediction has beed developed by this paper. This OSPF can predict the lane-change decision and lane-change trajectory around in a short period of time in the future according to the current state and historical trajectory of the surrounding vehicles, and combine these prediction information to provide the autonomous vehicle platoon with the predicted free space in the near future. The free space provided by this OSPF includes three types: continuing driving according to the current state or changing lanes to the left or right. At the same time, it also provides the required recommended driving trajectory. The evaluation test of this ADAS has been done through a simulation testbed of the NGSIM dataset built with Eclipse SUMO (Lopez et al. (2018)). |
| first_indexed | 2024-10-01T05:12:57Z |
| format | Journal Article |
| id | ntu-10356/167062 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:12:57Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1670622023-05-12T15:40:47Z On-road safety prompt framework for platoon Zhao, Nanbin Wang, Bohui Su, Rong School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Autonomous Vehicles Human and Vehicle Interaction In recent years, researchers are very interested in the development of autonomous vehicle platoons that can be commercialized on a large scale. The research progress in this field raises the new demand for real-time traffic flow information and safety prediction. Therefore, an On-road Safety Prompt Framework (OSPF) that combines the free space detection and lane change prediction has beed developed by this paper. This OSPF can predict the lane-change decision and lane-change trajectory around in a short period of time in the future according to the current state and historical trajectory of the surrounding vehicles, and combine these prediction information to provide the autonomous vehicle platoon with the predicted free space in the near future. The free space provided by this OSPF includes three types: continuing driving according to the current state or changing lanes to the left or right. At the same time, it also provides the required recommended driving trajectory. The evaluation test of this ADAS has been done through a simulation testbed of the NGSIM dataset built with Eclipse SUMO (Lopez et al. (2018)). Agency for Science, Technology and Research (A*STAR) Published version This research is supported by A*STAR under its RIE2020 Advanced Manufacturing and Engineering (AME) Indus- try Alignment Fund - Pre-Positioning (IAF-PP) (Award A19D6a0053). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of A*STAR. 2023-05-10T08:25:40Z 2023-05-10T08:25:40Z 2022 Journal Article Zhao, N., Wang, B. & Su, R. (2022). On-road safety prompt framework for platoon. IFAC-PapersOnLine, 55(11), 155-160. https://dx.doi.org/10.1016/j.ifacol.2022.08.065 2405-8963 https://hdl.handle.net/10356/167062 10.1016/j.ifacol.2022.08.065 11 55 155 160 en A19D6a0053 IFAC-PapersOnLine © 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/). application/pdf |
| spellingShingle | Engineering::Electrical and electronic engineering Autonomous Vehicles Human and Vehicle Interaction Zhao, Nanbin Wang, Bohui Su, Rong On-road safety prompt framework for platoon |
| title | On-road safety prompt framework for platoon |
| title_full | On-road safety prompt framework for platoon |
| title_fullStr | On-road safety prompt framework for platoon |
| title_full_unstemmed | On-road safety prompt framework for platoon |
| title_short | On-road safety prompt framework for platoon |
| title_sort | on road safety prompt framework for platoon |
| topic | Engineering::Electrical and electronic engineering Autonomous Vehicles Human and Vehicle Interaction |
| url | https://hdl.handle.net/10356/167062 |
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