Assessing Connected Vehicle’s Response to Green Light Optimal Speed Advisory From Field Operational Test and Scaling Up-Reference-Cited by-同舟云学术

Assessing Connected Vehicle’s Response to Green Light Optimal Speed Advisory From Field Operational Test and Scaling Up

Author:

Bhattacharyya Kinjal¹^ORCID,Laharotte Pierre-Antoine¹^ORCID,Burianne Arthur¹^ORCID,Faouzi Nour-Eddin El¹^ORCID

Affiliation:

1. LICIT-ECO7, Université Gustave Eiffel, Université de Lyon, ENTPE, Lyon, France

Funder

Project C-ROADS/INDID

Project C-The-Difference

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Automatic System for Roadway Safety – ASRS 01;WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL;2023-12-05

3. GeoAI-Powered Lane Matching for Bike Routes in GLOSA Apps;Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems;2023-11-13

4. Accurate Bike Routing for Lane Prediction in GLOSA Apps via Infrastructure Reference Models;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

5. User-Centric Green Light Optimized Speed Advisory with Reinforcement Learning;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24