Prototype Traffic Light Design Based Wireless Sensor Network With Multihop Topology

arafa laili utami


Increasing number of vehicles there are not combining by the increase highway facilities and means of adequate traffic, creating traffic jams can not be avoided. Therefore, it needs a traffic light system which can change the duration adaptive, so delays in traffic flow can be parsed automatically. In this thesis constructed an traffic light prototype that can change the duration of the traffic lights adaptively according to the conditions of real-time flow of the street using a detector such as a HMC5883L compass sensor. With a wireless sensor network and multihop topologies in terms of the system is easy to apply, because it does not require the transmission line in the form of cables and sensors can be added the number and spacing range. The main components used are Arduino Uno, Arduino Mega, XBee and HMC5883L compass sensors. Compass sensor detects the presence of vehicles by calculating magnitude value in the form of interference with Earth's magnetic field caused by cars metal, so  the sensor nodes can send information pathways state conditions in the one intersection to the coordinator via another sensor nodes using xbee in multihop topologies. The results obtained after testing is setting plan to address the inequality of delay on the traffic system can work well with the sensor reading error  0.09% within a period of 2 minutes and the application topology multihop use the traffic light system can expand the detection range 400 m. But the number of hops is used affects the packet loss is greater, namely 0.192% at a distance of 200 m.

Full Text:



. Arduino Mega. 2016. (27 Agustus 2016)

. Arduino Uno. 2016. (27 Agustus 2016)

. Caruso, Michael J dan Lucky S Withanawasam. 2002. “Vehicle Detection and Compass Applications using AMR Magnetic Sensors”. Jurnal Honeywell. Volume 5 , Nomor 99, USA.

. Cheung, Sing-Yiu dan Pravin Varaiya. 2007. Traffic Surveillance by Wireless Sensor Networks: Final Report. Makalah disampaikan dalam California PATH Program University of California. 29 Januari 2007. Kerja sama antara The State of California Business, Transportation, and Housing Agency, Department of Transportation, and the United States Department of Transportation, Federal Highway Administration.

. DISHUB. 2010. Evaluasi Penerapan Area Traffic Control System (ATCS) Di DKI Jakarta, Bandung Dan Surabaya.

. Iqbal, Muhammad. 2015. Rancang Bangun Wireless Sensor Network Berbasis Topologi Tree-Like Mesh Untuk Sistem Pemantauan Polusi Udara. Tesis. Bogor: Jurusan Ilmu Komputer Institut Pertanian Bogor.

. Kafi, Muhamed Amine, et al. 2012. “A study of Wireless Sensor Network Architectures and Projects for Traffic Light Monitoring”. Procedia Computer Science. Volume 10. (2012) 543 – 552

. Karl, Holger dan Andreas Willig. 2005. Protocols and Architectures for Wireless Sensor Networks. England : John Wiley & Sons Ltd.

. Pangestiani, Milda dan Iman Firmansyah. 2013. Desain Dan Implementasi Pendeteksi Kendaraan Pada Sistem Smart Traffic Light. Tugas Akhir. Bandung: Jurusan Teknik Telekomunikasi Universitas Telkom.

. Pratama, I Putu Agus Eka dan Sinung Suakanto. 2015. Wireless Sensor Network. Bandung : Informatika Bandung.

. Salsabela, Fildza dan R. M. Arifin. 2015. Rancang Bangun Sistem Kontrol Traffic light Jarak Jauh Dilengkapi Dengan Informasi Cuaca Dan Situasi Lalu Lintas Menggunakan Running Text Berbasis Mikrokontroler Dan Jaringan Wireless Di Kabupaten Poso. Tugas Akhir. Semarang: Jurusan Teknik Elektro Politeknik Negeri Semarang.

. Sensor Kompas HMC5883L. 2016. (23 Juli 2016)



  • There are currently no refbacks.

ISSN: 2541-6340
Online ISSN: 2541-6359


View My Stats

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.