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Vehicle‐localization‐based and DSRC‐based autonomous vehicle rear‐end collision avoidance concerning measurement uncertainties
Author(s) -
Chen Maolin,
Zhan Xingqun,
Tu Jiaxun,
Liu Ming
Publication year - 2019
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22936
Subject(s) - collision avoidance , collision , dedicated short range communications , collision avoidance system , computer science , simulation , automotive engineering , real time computing , engineering , telecommunications , wireless , computer security
Rear‐end collision is one of the most serious accidents for vehicles, some rear end collision avoidance systems have been developed to protect vehicles from rear‐end collisions. Current rear‐end collision avoidance systems mainly utilize vehicle‐relative measurement sensors to acquire information on surrounding vehicles, considering limited detection ranges and impaired performance in bad weathers of these vehicle sensors, currently used collision avoidance systems cannot guarantee vehicle safety in all environments. Vehicle‐localization‐based and intervehicle communication‐based rear‐end collision avoidance approaches can be possible solutions to improve vehicle safety compared with present vehicle sensor‐based collision avoidance systems. Dedicated Short‐Range Communication (DSRC) is introduced to transfer information on surrounding vehicles instead of using vehicle‐relative measurement sensors. Vehicle dynamic model and brake system dynamics are used to generate precise vehicle states that would be used in rear‐end collision avoidance. Required safe distance is used as the safety index when using different vehicle‐localization methods with a predefined safety probability of 99.99%. Monte Carlo simulations are executed to evaluate the influence of measurement uncertainties. Simulation results show that vehicle‐localization‐based and DSRC‐based rear‐end collision avoidance methods can guarantee vehicles free from rear‐end collision and expand the service capabilities of velocity compared with the traditional vehicle radar‐based rear‐end collision avoidance method. Evaluation outcomes encourage us to adopt a more precise absolute vehicle‐localization approach in rear‐end collision avoidance, because required safe distance and safe distance margin can be decreased when using a high‐precision vehicle‐localization method compared with standalone GNSS‐based localization. Some further aspects are discussed in this work that need to be tackled with to make vehicle‐localization‐based and intervehicle communication‐based rear‐end collision avoidance systems into practice, including real‐time brake system dynamics acquirement, benefit of DSRC to curve roads, and so on. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.