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author:

Wang, Shuyi (Wang, Shuyi.) [1] | Mao, Chengyang (Mao, Chengyang.) [2] | Ma, Yang (Ma, Yang.) [3] | Liu, Jinzhou (Liu, Jinzhou.) [4] | Yu, Bin (Yu, Bin.) [5]

Indexed by:

EI

Abstract:

Enabling large-scale deployment of automated vehicles (AVs) in the near future requires answering the question firstly: whether AVs could safely adapt to as-built road geometry? This study aims to examine the feasibility of current spiral curve design controls for LiDAR-based AVs (LAVs) from the perspective of the available sight distance (ASD). A series of tests featuring the design speed (Vd), lengths of tangent (LT) and spiral (LS), circular curve radii (R), and point thresholds for detection (NT) were simulated in PreScan/MATLAB/Simulink co-simulation platform. The ASDs affected by those parameters’ combined effects were analyzed and compared with required stopping sight distances (RSDs) of human-driven vehicles (HVs) and level 3 to 5 (L3–L5) LAVs followed by proposing the ASD-oriented safe speeds and the corresponding speed limits. The results indicate that: (1) the combination of the tangent-spiral curve-circular curve causes a shorter ASD than that without the spiral curve; (2) a longer spiral curve causes a shorter ASD; and (3) only a low-type combination of R, LS, Vd conditions is feasible for L3 LAVs while L4 or L5 LAVs have difficulties in dealing with high-type conditions. These findings help understand the ASD for AVs and provide safety-critical speed references for administrators. © 2022 The Authors. IET Intelligent Transport Systems published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.

Keyword:

Automation Intelligent systems Intelligent vehicle highway systems Optical radar Safety engineering Simulation platform Speed Traffic control Vehicles

Community:

  • [ 1 ] [Wang, Shuyi]School of Transportation, Southeast University, Nanjing, China
  • [ 2 ] [Wang, Shuyi]College of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 3 ] [Mao, Chengyang]School of Transportation, Southeast University, Nanjing, China
  • [ 4 ] [Mao, Chengyang]Southeast University-Monash University Joint Graduate School, Southeast University, Nanjing, China
  • [ 5 ] [Ma, Yang]School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China
  • [ 6 ] [Liu, Jinzhou]School of Transportation, Southeast University, Nanjing, China
  • [ 7 ] [Yu, Bin]School of Transportation, Southeast University, Nanjing, China

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Source :

IET Intelligent Transport Systems

ISSN: 1751-956X

Year: 2023

Issue: 5

Volume: 17

Page: 848-866

2 . 3

JCR@2023

2 . 3 0 0

JCR@2023

ESI HC Threshold:35

JCR Journal Grade:2

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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