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Gated branch neural network for mandatory lane...
Journal article

Gated branch neural network for mandatory lane changing suggestion at the on‐ramps of highway

Abstract

A gated branch neural network (GBNN) is proposed for modelling mandatory lane changing (MLC) behaviour at the on‐ramps of highways. It provides a core algorithm for an MLC suggestion system for advanced driver assistance systems (ADAS), where the main challenge is the trade‐off between computational speed and prediction accuracy for both non‐merge and merge events. The GBNN algorithm employs a gated branch based on correlation analysis, scaled …

Authors

Dou Y; Fang Y; Hu C; Zheng R; Yan F

Journal

IET Intelligent Transport Systems, Vol. 13, No. 1, pp. 48–54

Publisher

Institution of Engineering and Technology (IET)

Publication Date

January 2019

DOI

10.1049/iet-its.2018.5093

ISSN

1751-956X