A Hybrid Intelligent Traffic Light System for Solving Traffic Congestion in Hong Kong

Sin Chun Ng; Chok Pang Kwok; Yui Chung Fung; Chun Yung So; Yuen Ho Lam

doi:10.1109/ICIST49303.2020.9202144

A Hybrid Intelligent Traffic Light System for Solving Traffic Congestion in Hong Kong

Sin Chun Ng
, Chok Pang Kwok
, Yui Chung Fung
, Chun Yung So
, Yuen Ho Lam

Hong Kong Metropolitan University

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

7 Citations (Scopus)

Abstract

Traffic management is one of the transportation issues in modern cities due to the rapid growth of populations and city developments. Without well-developed traffic management or by out-of-date traffic management models, congestions will have occurred since road transportation is one of the essential connections in a city. This paper presents a hybrid intelligent traffic light system for the Hong Kong traffic network which optimizes the road throughputs using object detection and evolutionary algorithm. Simulation results show the improved efficiency and effectiveness of the road usage by using the hybrid intelligent traffic light system.

Original language	English
Title of host publication	10th International Conference on Information Science and Technology, ICIST 2020
Pages	258-265
Number of pages	8
ISBN (Electronic)	9781728155586
DOIs	https://doi.org/10.1109/ICIST49303.2020.9202144
Publication status	Published - Sept 2020
Event	10th International Conference on Information Science and Technology, ICIST 2020 - Virtual, Bath, London, and Plymouth, United Kingdom Duration: 9 Sept 2020 → 15 Sept 2020

Publication series

Name	10th International Conference on Information Science and Technology, ICIST 2020

Conference

Conference	10th International Conference on Information Science and Technology, ICIST 2020
Country/Territory	United Kingdom
City	Virtual, Bath, London, and Plymouth
Period	9/09/20 → 15/09/20

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

Keywords

hybrid intelligent system
intelligent traffic light system
traffic congestion

Access to Document

10.1109/ICIST49303.2020.9202144

Cite this

Ng, S. C., Kwok, C. P., Fung, Y. C., So, C. Y., & Lam, Y. H. (2020). A Hybrid Intelligent Traffic Light System for Solving Traffic Congestion in Hong Kong. In 10th International Conference on Information Science and Technology, ICIST 2020 (pp. 258-265). Article 9202144 (10th International Conference on Information Science and Technology, ICIST 2020). https://doi.org/10.1109/ICIST49303.2020.9202144

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title = "A Hybrid Intelligent Traffic Light System for Solving Traffic Congestion in Hong Kong",

abstract = "Traffic management is one of the transportation issues in modern cities due to the rapid growth of populations and city developments. Without well-developed traffic management or by out-of-date traffic management models, congestions will have occurred since road transportation is one of the essential connections in a city. This paper presents a hybrid intelligent traffic light system for the Hong Kong traffic network which optimizes the road throughputs using object detection and evolutionary algorithm. Simulation results show the improved efficiency and effectiveness of the road usage by using the hybrid intelligent traffic light system.",

keywords = "hybrid intelligent system, intelligent traffic light system, traffic congestion",

author = "Ng, \{Sin Chun\} and Kwok, \{Chok Pang\} and Fung, \{Yui Chung\} and So, \{Chun Yung\} and Lam, \{Yuen Ho\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 10th International Conference on Information Science and Technology, ICIST 2020 ; Conference date: 09-09-2020 Through 15-09-2020",

year = "2020",

month = sep,

doi = "10.1109/ICIST49303.2020.9202144",

language = "English",

series = "10th International Conference on Information Science and Technology, ICIST 2020",

pages = "258--265",

booktitle = "10th International Conference on Information Science and Technology, ICIST 2020",

}

Ng, SC, Kwok, CP, Fung, YC, So, CY & Lam, YH 2020, A Hybrid Intelligent Traffic Light System for Solving Traffic Congestion in Hong Kong. in 10th International Conference on Information Science and Technology, ICIST 2020., 9202144, 10th International Conference on Information Science and Technology, ICIST 2020, pp. 258-265, 10th International Conference on Information Science and Technology, ICIST 2020, Virtual, Bath, London, and Plymouth, United Kingdom, 9/09/20. https://doi.org/10.1109/ICIST49303.2020.9202144

A Hybrid Intelligent Traffic Light System for Solving Traffic Congestion in Hong Kong. / Ng, Sin Chun; Kwok, Chok Pang; Fung, Yui Chung et al.
10th International Conference on Information Science and Technology, ICIST 2020. 2020. p. 258-265 9202144 (10th International Conference on Information Science and Technology, ICIST 2020).

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

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AU - So, Chun Yung

AU - Lam, Yuen Ho

PY - 2020/9

Y1 - 2020/9

N2 - Traffic management is one of the transportation issues in modern cities due to the rapid growth of populations and city developments. Without well-developed traffic management or by out-of-date traffic management models, congestions will have occurred since road transportation is one of the essential connections in a city. This paper presents a hybrid intelligent traffic light system for the Hong Kong traffic network which optimizes the road throughputs using object detection and evolutionary algorithm. Simulation results show the improved efficiency and effectiveness of the road usage by using the hybrid intelligent traffic light system.

AB - Traffic management is one of the transportation issues in modern cities due to the rapid growth of populations and city developments. Without well-developed traffic management or by out-of-date traffic management models, congestions will have occurred since road transportation is one of the essential connections in a city. This paper presents a hybrid intelligent traffic light system for the Hong Kong traffic network which optimizes the road throughputs using object detection and evolutionary algorithm. Simulation results show the improved efficiency and effectiveness of the road usage by using the hybrid intelligent traffic light system.

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KW - intelligent traffic light system

KW - traffic congestion

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DO - 10.1109/ICIST49303.2020.9202144

M3 - Conference contribution

AN - SCOPUS:85093921360

T3 - 10th International Conference on Information Science and Technology, ICIST 2020

SP - 258

EP - 265

BT - 10th International Conference on Information Science and Technology, ICIST 2020

T2 - 10th International Conference on Information Science and Technology, ICIST 2020

Y2 - 9 September 2020 through 15 September 2020

ER -

A Hybrid Intelligent Traffic Light System for Solving Traffic Congestion in Hong Kong

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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