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Research on the Influence of Vehicle Speed on Safety Warning Algorithm: A Lane Change Warning System Case Study

Speed has an important impact on driving safety, however, this factor is not included in existing safety warning algorithms. This study uses lane change systems to study the influence of vehicle speed on safety warning algorithms, aiming to determine lane change warning rules for different speeds (D...

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Autores principales: Fu, Rui, Zhang, Yali, Wang, Chang, Yuan, Wei, Guo, Yingshi, Ma, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249093/
https://www.ncbi.nlm.nih.gov/pubmed/32397216
http://dx.doi.org/10.3390/s20092683
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author Fu, Rui
Zhang, Yali
Wang, Chang
Yuan, Wei
Guo, Yingshi
Ma, Yong
author_facet Fu, Rui
Zhang, Yali
Wang, Chang
Yuan, Wei
Guo, Yingshi
Ma, Yong
author_sort Fu, Rui
collection PubMed
description Speed has an important impact on driving safety, however, this factor is not included in existing safety warning algorithms. This study uses lane change systems to study the influence of vehicle speed on safety warning algorithms, aiming to determine lane change warning rules for different speeds (DS-LCW). Thirty-five drivers are recruited to carry out an extreme trial and naturalistic driving experiment. The vehicle speed, relative speed, relative distance, and minimum safety deceleration (MSD) related to lane change characteristics are then analyzed and calculated as warning rule characterization parameters. Lane change warning rules for a rear vehicle in the target lane under four-speed levels of 60 ≤ v < 70 km/h, 70 ≤ v < 80 km/h, 80 ≤ v < 90 km/h, and v ≥ 90 km/h are established. The accuracy of lane change warning rules not considering speed level (NDS-LCW) and ISO 17387 are found to be 87.5% and 79.8%, respectively. Comparatively, the accuracy rate of DS-LCW under four-speed levels is 94.6%, 93.8%, 90.0%, and 92.6%, respectively, which is significantly superior. The algorithm proposed in this paper provides warning in the lane change process with a smaller relative distance, and the accuracy rate of DS-LCW is significantly superior to NDS-LCW and ISO 17387.
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spelling pubmed-72490932020-06-10 Research on the Influence of Vehicle Speed on Safety Warning Algorithm: A Lane Change Warning System Case Study Fu, Rui Zhang, Yali Wang, Chang Yuan, Wei Guo, Yingshi Ma, Yong Sensors (Basel) Article Speed has an important impact on driving safety, however, this factor is not included in existing safety warning algorithms. This study uses lane change systems to study the influence of vehicle speed on safety warning algorithms, aiming to determine lane change warning rules for different speeds (DS-LCW). Thirty-five drivers are recruited to carry out an extreme trial and naturalistic driving experiment. The vehicle speed, relative speed, relative distance, and minimum safety deceleration (MSD) related to lane change characteristics are then analyzed and calculated as warning rule characterization parameters. Lane change warning rules for a rear vehicle in the target lane under four-speed levels of 60 ≤ v < 70 km/h, 70 ≤ v < 80 km/h, 80 ≤ v < 90 km/h, and v ≥ 90 km/h are established. The accuracy of lane change warning rules not considering speed level (NDS-LCW) and ISO 17387 are found to be 87.5% and 79.8%, respectively. Comparatively, the accuracy rate of DS-LCW under four-speed levels is 94.6%, 93.8%, 90.0%, and 92.6%, respectively, which is significantly superior. The algorithm proposed in this paper provides warning in the lane change process with a smaller relative distance, and the accuracy rate of DS-LCW is significantly superior to NDS-LCW and ISO 17387. MDPI 2020-05-08 /pmc/articles/PMC7249093/ /pubmed/32397216 http://dx.doi.org/10.3390/s20092683 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fu, Rui
Zhang, Yali
Wang, Chang
Yuan, Wei
Guo, Yingshi
Ma, Yong
Research on the Influence of Vehicle Speed on Safety Warning Algorithm: A Lane Change Warning System Case Study
title Research on the Influence of Vehicle Speed on Safety Warning Algorithm: A Lane Change Warning System Case Study
title_full Research on the Influence of Vehicle Speed on Safety Warning Algorithm: A Lane Change Warning System Case Study
title_fullStr Research on the Influence of Vehicle Speed on Safety Warning Algorithm: A Lane Change Warning System Case Study
title_full_unstemmed Research on the Influence of Vehicle Speed on Safety Warning Algorithm: A Lane Change Warning System Case Study
title_short Research on the Influence of Vehicle Speed on Safety Warning Algorithm: A Lane Change Warning System Case Study
title_sort research on the influence of vehicle speed on safety warning algorithm: a lane change warning system case study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249093/
https://www.ncbi.nlm.nih.gov/pubmed/32397216
http://dx.doi.org/10.3390/s20092683
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