| Title |
Leveraging Traffic Condition using IoT for Improving Smart City Street Lights |
| ID_Doc |
40805 |
| Authors |
Arshad, SR; Saeed, A; Akre, V; Khattak, HA; Ahmed, S; Khan, ZU; Khan, ZA; Nawaz, A |
| Title |
Leveraging Traffic Condition using IoT for Improving Smart City Street Lights |
| Year |
2020 |
| Published |
|
| DOI |
10.1109/Comnetsat50391.2020.9329004 |
| Abstract |
This study introduces an adaptive street light system based on sensor units that makes the system cost efficient and reduces the power consumption across highways on the basis of traffic conditions and intensity. The main goal of the system is to develop a power saving and efficient street light system and take a initiative towards generating street light poles smart and intelligent using IoT. Enormous use of street lights is consuming large amount of electricity due to their uninterrupted operation all over the night to manage traffic on daily basis. To minimize the large consumption of electricity across highways there must be a technological system that works smart and modify the street light poles based on traffic conditions. This paper is concerned with evolution and implementation of IoT based smart street lights. |
| Author Keywords |
Detection; Sensor Unit; Dimming Circuit; computation of energy saved; HTTP |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000657974200015 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
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