Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)

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An Atypical Induction Control with User-Defined Rules

Authors
Tao-tao Zhang1, *, Hai-long Ding2, Ju-yuan Wu1
1Shanghai JARI Zhaoxin Information Technology Co., Ltd., Shanghai, China
2Lianyungang JARI Electronics Co., Ltd., Lianyungang, Jiangsu, China
*Corresponding author. Email: 18061951654@163.com
Corresponding Author
Tao-tao Zhang
Available Online 2 December 2022.
DOI
10.2991/978-94-6463-010-7_50How to use a DOI?
Keywords
traffic engineering; actuated control; user rules; demand response
Abstract

Under traditional induction control methods, phase sequence combination can’t be adjusted dynamically by traffic flow characteristics. To solve this problem, this paper put forward an atypical induction control with user-defined rules, which is supported by real-time traffic data such as vehicle presence, queue length, and the number of vehicles in the interval. Under this control, users can define the identification and triggering rules of the traffic state and design the combination rules of the conventional and extended stage chain according to the characteristics of the actual scene. Based on the analysis of the local high-resolution log data of the signal controller at the intersection of Jiaotong Avenue and Tianxian Road in Xiaogan City, it is concluded that the maximum queuing length of the average intersection cycle decreases from 160 m to 95 m after the implementation of the scheme, a decrease up to 40.6%. The results show that the atypical induction control with user-defined rules has good flexibility, controllability, and expansibility and is extremely suitable for traffic scenes with dynamic traffic characteristics.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
2 December 2022
ISBN
10.2991/978-94-6463-010-7_50
ISSN
2589-4919
DOI
10.2991/978-94-6463-010-7_50How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Tao-tao Zhang
AU  - Hai-long Ding
AU  - Ju-yuan Wu
PY  - 2022
DA  - 2022/12/02
TI  - An Atypical Induction Control with User-Defined Rules
BT  - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
PB  - Atlantis Press
SP  - 471
EP  - 480
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-010-7_50
DO  - 10.2991/978-94-6463-010-7_50
ID  - Zhang2022
ER  -