Bi-level Optimal Edge Computing Model for On-ramp Merging in Connected Vehicle Environment-Reference-Cited by-同舟云学术

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Bi-level Optimal Edge Computing Model for On-ramp Merging in Connected Vehicle Environment

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Ye Fei,Guo Jianlin,Kim Kyeong Jin,Orlik Philip V.,Ahn Heejin,Di Cairano Stefano,Barth Matthew J.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8792328/8813768/08814096.pdf?arnumber=8814096

Cited by 12 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

1. Collaborative Multi-Lane on-Ramp Merging Strategy for Connected and Automated Vehicles Using Dynamic Conflict Graph;Journal of Intelligent and Connected Vehicles;2024-03

2. An Integrated Approach to Optimal Merging Sequence Generation and Trajectory Planning of Connected Automated Vehicles for Freeway On-Ramp Merging Sections;IEEE Transactions on Intelligent Transportation Systems;2024-02

3. Cooperative Merging Strategy in Mixed Traffic Based on Optimal Final-State Phase Diagram With Flexible Highway Merging Points;IEEE Transactions on Intelligent Transportation Systems;2023-10

4. An optimized scheduling method with dynamic conflict graph for connected and automated vehicles at multi-lane on-ramp areas;2023 IEEE Intelligent Vehicles Symposium (IV);2023-06-04

5. Optimization-based Coordination and Control of Traffic Lights and Mixed Traffic in Multi-Intersection Environments;2023 American Control Conference (ACC);2023-05-31

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