Enhancing VRUs Safety Through Mobility-Aware Workload Orchestration with Trajectory Prediction using Reinforcement Learning-Reference-Cited by-同舟云学术

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Enhancing VRUs Safety Through Mobility-Aware Workload Orchestration with Trajectory Prediction using Reinforcement Learning

Published:2023-09-24 Issue: Volume:1 Page:6132-6137
ISSN:
Container-title:2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
language:
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Author:

Safavifar Zahra¹,Mechalikh Charafeddine²,Xie Junfei³,Golpayegani Fatemeh⁴

Affiliation:

1. Computer Science school, University College Dublin,Dublin,Ireland

2. University Kasdi Merbah,Faculty of New Technologies of Information and Telecommunication,Ouargla,Algeria

3. Faculty of Electrical and Computer Engineering school, San Diego State University,San Diego,USA

4. Faculty of Computer Science school, University College Dublin,Dublin,Ireland

Funder

Science Foundation Ireland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420842/10420843/10421846.pdf?arnumber=10421846

Reference16 articles.

1. Enhancing vulnerable road user safety: a survey of existing practices and consideration for using mobile devices for v2x connections;Dasanayaka;arXiv preprint,2020

2. Intelligent Shared Mobility Systems: A Survey on Whole System Design Requirements, Challenges and Future Direction

3. Urban Emergency Management using Intelligent Traffic Systems: Challenges and Future Directions

4. A heuristic model for pedestrian intention estimation

5. Machine Learning-based Trajectory Prediction for VRU Collision Avoidance in V2X Environments

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