Recent development of smart traffic lights (2024) (2024)

@article{68c1ec120aa34ea48fb1e28cabf0bea5,

title = "Recent development of smart traffic lights",

abstract = "Increased traffic flow causes congestion, especially in large cities. Even though congestion is not unusual, traffic jams still result in very high economic and social losses. Several factors cause congestion, one of which is traffic lights. Therefore, a mechanism is needed so that traffic lights can intelligently and adaptively manage signal time allocation according to traffic flow conditions. A traffic light with this type of mechanism is known as a smart traffic light. Smart traffic light cycle settings can be grouped based on the traffic density, scenarios for emergency vehicles, and the interests of pedestrians. This paper analyzes the methods and technologies used in the development of smart traffic light technology from the perspective of these three situations as well as the development of smart traffic light technology in the future.",

keywords = "Adaptive traffic light, Intelligent transportation system, Machine learning, Smart city, Smart traffic light",

author = "Yusuf, {A{\textquoteright}Isya Nur Aulia} and Arifin, {Ajib Setyo} and Zulkifli, {Fitri Yuli}",

note = "Funding Information: This work is funded under the contract number NKB-3041/UN2.R3.1/HKP.05.00/2019 by the Indonesian Government Scholarship PMDSU from the Ministry of Research, Technology, and Higher Education (Kemristekdikti). Publisher Copyright: {\textcopyright} 2021, Institute of Advanced Engineering and Science. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",

year = "2021",

doi = "10.11591/ijai.v10.i1.pp224-233",

language = "English",

volume = "10",

pages = "224--233",

journal = "IAES International Journal of Artificial Intelligence",

issn = "2089-4872",

publisher = "Institute of Advanced Engineering and Science (IAES)",

number = "1",

}

Recent development of smart traffic lights. / Yusuf, A’Isya Nur Aulia; Arifin, Ajib Setyo; Zulkifli, Fitri Yuli.
In: IAES International Journal of Artificial Intelligence, Vol. 10, No. 1, 2021, p. 224-233.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Recent development of smart traffic lights

AU - Yusuf, A’Isya Nur Aulia

AU - Arifin, Ajib Setyo

AU - Zulkifli, Fitri Yuli

N1 - Funding Information:This work is funded under the contract number NKB-3041/UN2.R3.1/HKP.05.00/2019 by the Indonesian Government Scholarship PMDSU from the Ministry of Research, Technology, and Higher Education (Kemristekdikti).Publisher Copyright:© 2021, Institute of Advanced Engineering and Science. All rights reserved.Copyright:Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021

Y1 - 2021

N2 - Increased traffic flow causes congestion, especially in large cities. Even though congestion is not unusual, traffic jams still result in very high economic and social losses. Several factors cause congestion, one of which is traffic lights. Therefore, a mechanism is needed so that traffic lights can intelligently and adaptively manage signal time allocation according to traffic flow conditions. A traffic light with this type of mechanism is known as a smart traffic light. Smart traffic light cycle settings can be grouped based on the traffic density, scenarios for emergency vehicles, and the interests of pedestrians. This paper analyzes the methods and technologies used in the development of smart traffic light technology from the perspective of these three situations as well as the development of smart traffic light technology in the future.

AB - Increased traffic flow causes congestion, especially in large cities. Even though congestion is not unusual, traffic jams still result in very high economic and social losses. Several factors cause congestion, one of which is traffic lights. Therefore, a mechanism is needed so that traffic lights can intelligently and adaptively manage signal time allocation according to traffic flow conditions. A traffic light with this type of mechanism is known as a smart traffic light. Smart traffic light cycle settings can be grouped based on the traffic density, scenarios for emergency vehicles, and the interests of pedestrians. This paper analyzes the methods and technologies used in the development of smart traffic light technology from the perspective of these three situations as well as the development of smart traffic light technology in the future.

KW - Adaptive traffic light

KW - Intelligent transportation system

KW - Machine learning

KW - Smart city

KW - Smart traffic light

UR - http://www.scopus.com/inward/record.url?scp=85103129982&partnerID=8YFLogxK

U2 - 10.11591/ijai.v10.i1.pp224-233

DO - 10.11591/ijai.v10.i1.pp224-233

M3 - Article

AN - SCOPUS:85103129982

SN - 2089-4872

VL - 10

SP - 224

EP - 233

JO - IAES International Journal of Artificial Intelligence

JF - IAES International Journal of Artificial Intelligence

IS - 1

ER -