An Efficient Mesoscopic Modeling Method for Large Volume Traffic Flow Using Process Mining Techniques-Reference-Cited by-同舟云学术

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An Efficient Mesoscopic Modeling Method for Large Volume Traffic Flow Using Process Mining Techniques

Published:2021-12-08 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
language:
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Author:

Uehara Kenji¹,Hiraishi Kunihiko¹

Affiliation:

1. School of Information Science Japan Advanced Institute of Science and Technology,Nomi,Ishikawa,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9718231/9718367/09718441.pdf?arnumber=9718441

Reference16 articles.

1. Analyzing a TCP/IP-Protocol with Process Mining Techniques;christian;BPM 2014 Business Process Management Workshops,2014

2. Process mining approach for recovery of realized train paths and route conflict identification;kecman;TRAIL Beta Congress,2012

3. Mesoscopic modeling of airport surface by object Petri nets

4. Data Quality in Process Mining: A Rule-based Approach;van cruchten;Interactive Process Mining in Healthcare,2020

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. Mesoscopic Modeling of Airspace Traffic Flow;IFAC-PapersOnLine;2023

2. A Framework for Extracting Abstracted Route Graphs Toward Air Traffic Flow Modeling;2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2022-10-09

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