Evaluating the Associations between Forward Collision Warning Severity and Driving Context
Forward collision warning (FCW) systems typically employ forward sensing technologies to identify possible forward collisions and provide an alert to the driver in the event they have not recognized a threat. These systems have demonstrated safety benefits. However, because the base rate of collisio...
| Main Authors: | , , , , |
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| Format: | Article |
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Multidisciplinary Digital Publishing Institute
2022
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| Online Access: | https://hdl.handle.net/1721.1/139646 |
| _version_ | 1826197305203621888 |
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| author | Seaman, Sean Gershon, Pnina Angell, Linda Mehler, Bruce Reimer, Bryan |
| author_facet | Seaman, Sean Gershon, Pnina Angell, Linda Mehler, Bruce Reimer, Bryan |
| author_sort | Seaman, Sean |
| collection | MIT |
| description | Forward collision warning (FCW) systems typically employ forward sensing technologies to identify possible forward collisions and provide an alert to the driver in the event they have not recognized a threat. These systems have demonstrated safety benefits. However, because the base rate of collisions is low, sensitive FCW systems can provide a high rate of alarms in situations with no or low probability of collision, which may negatively impact driver responsiveness and satisfaction. We examined over 2000 naturally occurring FCWs in two modern vehicles as a part of a naturalistic driving study investigation into advanced vehicle technologies. Analysts used cabin and forward camera footage, as well as environmental characteristics, to judge the likelihood of a crash during each alert, which were used to model the likelihood of an alert representing a possible collision. Only nine FCWs were considered “crash possible and imminent”. Road-type, speed, traffic density, and deceleration profiles distinguished between alert severity. Modeling outcomes provide clues for reducing nuisance and false alerts, and the method of using subjective video annotation combined with vehicle kinematics shows promise for investigating FCW alerts in the real world. |
| first_indexed | 2024-09-23T10:46:00Z |
| format | Article |
| id | mit-1721.1/139646 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T10:46:00Z |
| publishDate | 2022 |
| publisher | Multidisciplinary Digital Publishing Institute |
| record_format | dspace |
| spelling | mit-1721.1/1396462022-01-21T03:28:47Z Evaluating the Associations between Forward Collision Warning Severity and Driving Context Seaman, Sean Gershon, Pnina Angell, Linda Mehler, Bruce Reimer, Bryan Forward collision warning (FCW) systems typically employ forward sensing technologies to identify possible forward collisions and provide an alert to the driver in the event they have not recognized a threat. These systems have demonstrated safety benefits. However, because the base rate of collisions is low, sensitive FCW systems can provide a high rate of alarms in situations with no or low probability of collision, which may negatively impact driver responsiveness and satisfaction. We examined over 2000 naturally occurring FCWs in two modern vehicles as a part of a naturalistic driving study investigation into advanced vehicle technologies. Analysts used cabin and forward camera footage, as well as environmental characteristics, to judge the likelihood of a crash during each alert, which were used to model the likelihood of an alert representing a possible collision. Only nine FCWs were considered “crash possible and imminent”. Road-type, speed, traffic density, and deceleration profiles distinguished between alert severity. Modeling outcomes provide clues for reducing nuisance and false alerts, and the method of using subjective video annotation combined with vehicle kinematics shows promise for investigating FCW alerts in the real world. 2022-01-20T19:31:08Z 2022-01-20T19:31:08Z 2022-01-20 2022-01-20T15:24:54Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/139646 Safety 8 (1): 5 (2022) PUBLISHER_CC http://dx.doi.org/10.3390/safety8010005 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Multidisciplinary Digital Publishing Institute Multidisciplinary Digital Publishing Institute |
| spellingShingle | Seaman, Sean Gershon, Pnina Angell, Linda Mehler, Bruce Reimer, Bryan Evaluating the Associations between Forward Collision Warning Severity and Driving Context |
| title | Evaluating the Associations between Forward Collision Warning Severity and Driving Context |
| title_full | Evaluating the Associations between Forward Collision Warning Severity and Driving Context |
| title_fullStr | Evaluating the Associations between Forward Collision Warning Severity and Driving Context |
| title_full_unstemmed | Evaluating the Associations between Forward Collision Warning Severity and Driving Context |
| title_short | Evaluating the Associations between Forward Collision Warning Severity and Driving Context |
| title_sort | evaluating the associations between forward collision warning severity and driving context |
| url | https://hdl.handle.net/1721.1/139646 |
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