Heuristic fuzzy control of traffic junctions in urban areas

Boriana Vatchova; Yordanka Boneva; Alexander Gegov

doi:10.1109/BdKCSE53180.2021.9627284

Heuristic fuzzy control of traffic junctions in urban areas

Boriana Vatchova
, Yordanka Boneva
, Alexander Gegov

Bulgarian Academy of Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

78 Downloads (Pure)

Abstract

The paper describes the design and implementation of a heuristic fuzzy controller for traffic management in urban areas. The controller uses expert knowledge for the derivation of its fuzzy rules. The proposed controller is simulated and compared to a conventional proportional controller by means of the software platform for traffic management AIMSUN.

Original language	English
Title of host publication	Big Data, Knowledge and Control Systems Engineering - Proceedings of the 7th International Conference, BdKCSE 2021
Editors	Rumen Andreev, Lyubka Doukovska, Svetozar Ilchev
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665410427
ISBN (Print)	9781665410434
DOIs	https://doi.org/10.1109/BdKCSE53180.2021.9627284
Publication status	Early online - 10 Dec 2021
Event	7th International Conference on Big Data, Knowledge and Control Systems Engineering - Sofia, Bulgaria Duration: 28 Oct 2021 → 29 Oct 2021

Conference

Conference	7th International Conference on Big Data, Knowledge and Control Systems Engineering
Abbreviated title	BdKCSE 2021
Country/Territory	Bulgaria
City	Sofia
Period	28/10/21 → 29/10/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

fuzzy controller
proportional controller
traffic light management

Access to Document

10.1109/BdKCSE53180.2021.9627284

Heuristic Fuzzy Control AAM
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Accepted author manuscript (Post-print), 1.39 MB

Cite this

Vatchova, B., Boneva, Y., & Gegov, A. (2021). Heuristic fuzzy control of traffic junctions in urban areas. In R. Andreev, L. Doukovska, & S. Ilchev (Eds.), Big Data, Knowledge and Control Systems Engineering - Proceedings of the 7th International Conference, BdKCSE 2021 Institute of Electrical and Electronics Engineers Inc.. Advance online publication. https://doi.org/10.1109/BdKCSE53180.2021.9627284

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keywords = "fuzzy controller, proportional controller, traffic light management",

author = "Boriana Vatchova and Yordanka Boneva and Alexander Gegov",

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year = "2021",

month = dec,

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doi = "10.1109/BdKCSE53180.2021.9627284",

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editor = "Rumen Andreev and Lyubka Doukovska and Svetozar Ilchev",

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Vatchova, B, Boneva, Y & Gegov, A 2021, Heuristic fuzzy control of traffic junctions in urban areas. in R Andreev, L Doukovska & S Ilchev (eds), Big Data, Knowledge and Control Systems Engineering - Proceedings of the 7th International Conference, BdKCSE 2021. Institute of Electrical and Electronics Engineers Inc., 7th International Conference on Big Data, Knowledge and Control Systems Engineering, Sofia, Bulgaria, 28/10/21. https://doi.org/10.1109/BdKCSE53180.2021.9627284

Heuristic fuzzy control of traffic junctions in urban areas. / Vatchova, Boriana; Boneva, Yordanka; Gegov, Alexander.
Big Data, Knowledge and Control Systems Engineering - Proceedings of the 7th International Conference, BdKCSE 2021. ed. / Rumen Andreev; Lyubka Doukovska; Svetozar Ilchev. Institute of Electrical and Electronics Engineers Inc., 2021.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Boneva, Yordanka

AU - Gegov, Alexander

PY - 2021/12/10

Y1 - 2021/12/10

N2 - The paper describes the design and implementation of a heuristic fuzzy controller for traffic management in urban areas. The controller uses expert knowledge for the derivation of its fuzzy rules. The proposed controller is simulated and compared to a conventional proportional controller by means of the software platform for traffic management AIMSUN.

AB - The paper describes the design and implementation of a heuristic fuzzy controller for traffic management in urban areas. The controller uses expert knowledge for the derivation of its fuzzy rules. The proposed controller is simulated and compared to a conventional proportional controller by means of the software platform for traffic management AIMSUN.

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KW - traffic light management

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DO - 10.1109/BdKCSE53180.2021.9627284

M3 - Conference contribution

AN - SCOPUS:85124037288

SN - 9781665410434

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A2 - Doukovska, Lyubka

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T2 - 7th International Conference on Big Data, Knowledge and Control Systems Engineering

Y2 - 28 October 2021 through 29 October 2021

ER -

Heuristic fuzzy control of traffic junctions in urban areas

Abstract

Conference

UN SDGs

Keywords

Access to Document

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