Deep RNN Based Prediction of Driver’s Intended Movements at Intersection Using Cooperative Awareness Messages-Reference-Cited by-同舟云学术

Deep RNN Based Prediction of Driver’s Intended Movements at Intersection Using Cooperative Awareness Messages

Published:2023-07 Issue:7 Volume:24 Page:6902-6921
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Komol Md Mostafizur Rahman¹^ORCID,Elhenawy Mohammed¹^ORCID,Masoud Mahmoud¹^ORCID,Rakotonirainy Andry¹^ORCID,Glaser Sebastien¹^ORCID,Wood Merle²^ORCID,Alderson David²

Affiliation:

1. Centre for Accident Research and Road Safety-Queensland, Queensland University of Technology, Kelvin Grove, QLD, Australia

2. Department of Transport, Main Roads, Brisbane City, QLD, Australia

Funder

Department of Transport and Main Roads, the Queensland University of Technology, iMOVE Australia, Motor Accident Insurance Commission and Telstra

Cooperative Research Centres program, an Australian Government initiative

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10175858/10081112.pdf?arnumber=10081112

Reference48 articles.

1. Velocity-Based Driver Intent Inference at Urban Intersections in the Presence of Preceding Vehicles

2. Long short term memory for driver intent prediction

3. Generalizable intention prediction of human drivers at intersections

4. A new algorithm for solving uncapacitated transportation problem with interval-defined demands and suppliers capacities;juman;J Intell Fuzzy Syst,2021

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