TY - GEN
T1 - An IoT Application for Smart Navigation of High Priority Vehicles (HPVs) Using Preemptive Traffic-Light Control
AU - Rumala, Dewinda Julianensi
AU - Kurniawan, Arief
AU - Yuniarno, Eko Mulyanto
AU - Salehin, Khondaker
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/17
Y1 - 2020/11/17
N2 - High Priority Vehicles (HPVs) provide emergency services that require them to arrive at the service destinations without unexpected delays. Traffic regulations across the work emphasize this need by giving HPVs the highest priority on the road. However, prioritizing HPVs does not guarantee rapid emergency services in big cities, e.g., Surabaya, Indonesia, where roads are usually congested. In this paper, we present a smart navigation system as a mobile application that routes HPVs through the fastest paths to their destinations using Dijkstra's algorithm. It also communicates with the traffic lights so that HPVs can preemptively control the traffic signals in order to reduce delays at the intersections. We implemented the application on Android OS and built a traffic-light controller unit, which enables the application to interact with the traffic-light system seamlessly. We validated the efficacy of the proposed system through extensive experiments in a simulated environment.
AB - High Priority Vehicles (HPVs) provide emergency services that require them to arrive at the service destinations without unexpected delays. Traffic regulations across the work emphasize this need by giving HPVs the highest priority on the road. However, prioritizing HPVs does not guarantee rapid emergency services in big cities, e.g., Surabaya, Indonesia, where roads are usually congested. In this paper, we present a smart navigation system as a mobile application that routes HPVs through the fastest paths to their destinations using Dijkstra's algorithm. It also communicates with the traffic lights so that HPVs can preemptively control the traffic signals in order to reduce delays at the intersections. We implemented the application on Android OS and built a traffic-light controller unit, which enables the application to interact with the traffic-light system seamlessly. We validated the efficacy of the proposed system through extensive experiments in a simulated environment.
KW - Android application
KW - Internet of Things
KW - Navigation system
KW - high priority vehicles
KW - microcontroller
KW - traffic light
UR - http://www.scopus.com/inward/record.url?scp=85099663706&partnerID=8YFLogxK
U2 - 10.1109/CENIM51130.2020.9297872
DO - 10.1109/CENIM51130.2020.9297872
M3 - Conference contribution
AN - SCOPUS:85099663706
T3 - CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020
SP - 193
EP - 198
BT - CENIM 2020 - Proceeding
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020
Y2 - 17 November 2020 through 18 November 2020
ER -