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 -
