Readiness of as-built horizontal curved roads for LiDAR-based automated vehicles: a virtual simulation analysis
Emerging automated vehicle (AV) technology is being deployed on as-built roadways due to its promising safety improvements. However, realistic problems concerning whether and how perception sensor-based AVs can safely adapt to the existing roadway infrastructures remain to be well addressed due to a...
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sg-ntu-dr.10356-1635272022-12-08T05:05:43Z Readiness of as-built horizontal curved roads for LiDAR-based automated vehicles: a virtual simulation analysis Wang, Shuyi Ma, Yang Liu, Jinzhou Yu, Bin Zhu, Feng School of Civil and Environmental Engineering Engineering::Civil engineering Automated Vehicle Available Sight Distance Emerging automated vehicle (AV) technology is being deployed on as-built roadways due to its promising safety improvements. However, realistic problems concerning whether and how perception sensor-based AVs can safely adapt to the existing roadway infrastructures remain to be well addressed due to a lack of consideration of the sensor's angular resolution and detection threshold. In this study, we aim to assess whether LiDAR-based AVs (LAVs) could safely adapt to as-built horizontal curved roads from the perspective of available sight distances (ASDs) through virtual simulations. In specific, i) numerous driving scenarios featuring the design speed (Vd: 40 ∼ 100 km/h), circular curve radius (R: limited minimum radius ∼ common minimum radius), LAV (with LiDAR technical parameters, e.g., number of channels, Nc: 32, 64, 128), and the front target vehicle were simulated in PreScan/MATLAB/Simulink co-simulation platform; ii) an ASD extraction algorithm was proposed considering the point threshold for detection (NT); iii) effects of Vd, R, Nc, and NT on the ASD were analyzed and polynomial models were adopted to capture relationships between the ASD, Vd, R at different Nc and NT; iv) the minimum speed against as-built sight obstructions along the roadside and the maximum speed against inadequate sight distance were proposed by comparing the ASD with the required stopping sight distance of human-driven vehicles and LAVs (level 3 ∼ 5), respectively; and v) speed limits (VL) against inadequate sight distances for level 3 ∼ 5 LAVs were proposed. The results indicate that: i) a larger R or Vd, fewer Nc, or a higher NT would cause a shorter ASD in general; ii) attention should be paid to the occlusion imposed by as-built roadside infrastructures even with more Nc or/and a lower NT, particularly to curved roads with more rigorous geometric design controls (e.g., small Vd); and iii) level 3 LAVs struggle to adapt to as-built horizontal curved roads, and level 4 or 5 LAVs cannot assure adequate ASDs on high-type curved roads (e.g., large Vd). These findings shall help road administrators make decisions on speed limits for LAVs on as-built curved roads. This study was supported by the Postgraduate Research & Practice Innovation Program of Jiangsu Province [grant number: KYCX18_0152]; the National Natural Science Foundation of China [grant number: 51878163]; Jiangsu Transportation Science and Technology Project [grant number: 2020Y19-1(1)]; China Scholarship Council [202006090095]; and the National Demonstration Center for Experimental Road and Traffic Engineering Education (Southeast University). 2022-12-08T05:05:43Z 2022-12-08T05:05:43Z 2022 Journal Article Wang, S., Ma, Y., Liu, J., Yu, B. & Zhu, F. (2022). Readiness of as-built horizontal curved roads for LiDAR-based automated vehicles: a virtual simulation analysis. Accident Analysis & Prevention, 174, 106762-. https://dx.doi.org/10.1016/j.aap.2022.106762 0001-4575 https://hdl.handle.net/10356/163527 10.1016/j.aap.2022.106762 35792477 2-s2.0-85133270976 174 106762 en Accident Analysis & Prevention © 2022 Elsevier Ltd. All rights reserved. |
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Engineering::Civil engineering Automated Vehicle Available Sight Distance Wang, Shuyi Ma, Yang Liu, Jinzhou Yu, Bin Zhu, Feng Readiness of as-built horizontal curved roads for LiDAR-based automated vehicles: a virtual simulation analysis |
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Emerging automated vehicle (AV) technology is being deployed on as-built roadways due to its promising safety improvements. However, realistic problems concerning whether and how perception sensor-based AVs can safely adapt to the existing roadway infrastructures remain to be well addressed due to a lack of consideration of the sensor's angular resolution and detection threshold. In this study, we aim to assess whether LiDAR-based AVs (LAVs) could safely adapt to as-built horizontal curved roads from the perspective of available sight distances (ASDs) through virtual simulations. In specific, i) numerous driving scenarios featuring the design speed (Vd: 40 ∼ 100 km/h), circular curve radius (R: limited minimum radius ∼ common minimum radius), LAV (with LiDAR technical parameters, e.g., number of channels, Nc: 32, 64, 128), and the front target vehicle were simulated in PreScan/MATLAB/Simulink co-simulation platform; ii) an ASD extraction algorithm was proposed considering the point threshold for detection (NT); iii) effects of Vd, R, Nc, and NT on the ASD were analyzed and polynomial models were adopted to capture relationships between the ASD, Vd, R at different Nc and NT; iv) the minimum speed against as-built sight obstructions along the roadside and the maximum speed against inadequate sight distance were proposed by comparing the ASD with the required stopping sight distance of human-driven vehicles and LAVs (level 3 ∼ 5), respectively; and v) speed limits (VL) against inadequate sight distances for level 3 ∼ 5 LAVs were proposed. The results indicate that: i) a larger R or Vd, fewer Nc, or a higher NT would cause a shorter ASD in general; ii) attention should be paid to the occlusion imposed by as-built roadside infrastructures even with more Nc or/and a lower NT, particularly to curved roads with more rigorous geometric design controls (e.g., small Vd); and iii) level 3 LAVs struggle to adapt to as-built horizontal curved roads, and level 4 or 5 LAVs cannot assure adequate ASDs on high-type curved roads (e.g., large Vd). These findings shall help road administrators make decisions on speed limits for LAVs on as-built curved roads. |
author2 |
School of Civil and Environmental Engineering |
author_facet |
School of Civil and Environmental Engineering Wang, Shuyi Ma, Yang Liu, Jinzhou Yu, Bin Zhu, Feng |
format |
Article |
author |
Wang, Shuyi Ma, Yang Liu, Jinzhou Yu, Bin Zhu, Feng |
author_sort |
Wang, Shuyi |
title |
Readiness of as-built horizontal curved roads for LiDAR-based automated vehicles: a virtual simulation analysis |
title_short |
Readiness of as-built horizontal curved roads for LiDAR-based automated vehicles: a virtual simulation analysis |
title_full |
Readiness of as-built horizontal curved roads for LiDAR-based automated vehicles: a virtual simulation analysis |
title_fullStr |
Readiness of as-built horizontal curved roads for LiDAR-based automated vehicles: a virtual simulation analysis |
title_full_unstemmed |
Readiness of as-built horizontal curved roads for LiDAR-based automated vehicles: a virtual simulation analysis |
title_sort |
readiness of as-built horizontal curved roads for lidar-based automated vehicles: a virtual simulation analysis |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/163527 |
_version_ |
1753801100150964224 |