Learning to Help Emergency Vehicles Arrive Faster: A Cooperative Vehicle-Road Scheduling Approach-Reference-Cited by-同舟云学术

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Learning to Help Emergency Vehicles Arrive Faster: A Cooperative Vehicle-Road Scheduling Approach

Published:2022 Issue: Volume: Page:1-13
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Ding Lige¹^ORCID,Zhao Dong¹^ORCID,Wang Zhaofeng¹^ORCID,Wang Guang²^ORCID,Tan Chang³,Fan Lei³,Ma Huadong¹^ORCID

Affiliation:

1. Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China

2. Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, USA

3. iFLYTEK Research, IFLYTEK Co., Ltd, Hefei, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/09815211.pdf?arnumber=9815211

Cited by 2 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. Enhancing Concurrent Emergency Response: Joint Scheduling of Emergency Vehicles on Freeways with Tailored Heuristic;Applied Sciences;2024-08-23

2. SpeedAdv: Enabling Green Light Optimized Speed Advisory for Diverse Traffic Lights;IEEE Transactions on Mobile Computing;2023

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