Fault Tolerance analysis of an Adaptive Neuro-Fuzzy Inference System for mandatory lane changing decisions in automated driving

Fault Tolerance analysis of an Adaptive Neuro-Fuzzy Inference System for mandatory lane changing decisions in automated driving

Past research has developed a binary decision model for mandatory lane changes based on the Adaptive Neuro-Fuzzy Inference System (ANFIS). This ANFIS Decision Model (simply called ADEM), developed and tested with the Next Generation Simulation (NGSIM) data, mimics the sensory inputs and decisions of...

Full description

Bibliographic Details
Main Authors: Matthew Vechione, Ruey Long Cheu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-06-01
Series:International Journal of Transportation Science and Technology
Subjects:
Mandatory Lane Change
Adaptive Neuro-Fuzzy Inference System
Fault Tolerance
Automated Vehicle
Safety
Online Access:http://www.sciencedirect.com/science/article/pii/S2046043022000533

Internet

http://www.sciencedirect.com/science/article/pii/S2046043022000533

Similar Items