A Traffic Congestion Framework for Smart Riyadh City based on IoT Services

Abstract: Internet of Things (IoT) has become one of the most challenging issues in many researches to connect physical things through the internet by creating a virtual identity for everything. Traffic congestion in Riyadh city is chosen due to the proliferation in the number of vehicles on Riyadh roads that is resulting in grumbling by citizens. Currently, there is no reliable service offered to Riyadh citizens from the traffic department enabling them to access traffic information. A new traffic congestion framework for Riyadh is proposed so that it can help the development of traffic congestion services. This framework aims to benefit from the current Riyadh road infrastructure and apply the IoT paradigm for detecting traffic congestion. Sensing devices are used to identify the congestion of the traffic flow through providing multiple proposed services to the citizens such as a vehicle counting, live streaming video and rerouting services. Citizens are able to access all the services by using proposed mobile application connected to the internet, as all those services are integrated with public map Service. By using the services, the citizens are able to identify the exact location where congestion occurs and an alternate solution can be provided easily. To achieve this, Business Process Execution Language (BPEL) is embedded in one of the framework layers. Due to the effectiveness of BPEL, workflows are built to combine the proposed services with the legacy Riyadh services. This approach clearly defines how the services are executed through BPEL models.

Hailah Ghanem Al-Majhad, Arif Bramantoro, Irfan Syamsuddin, Arda Yunianta, Ahmad Hoirul Basori, Anton Satria Prabuwono and Omar M. Barukab. “A Traffic Congestion Framework for Smart Riyadh City based on IoT Services”. International Journal of Advanced Computer Science and Applications (IJACSA) 9.4 (2018). http://dx.doi.org/10.14569/IJACSA.2018.090443

@article{Al-Majhad2018,
title = {A Traffic Congestion Framework for Smart Riyadh City based on IoT Services},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090443},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090443},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {4},
author = {Hailah Ghanem Al-Majhad and Arif Bramantoro and Irfan Syamsuddin and Arda Yunianta and Ahmad Hoirul Basori and Anton Satria Prabuwono and Omar M. Barukab}
}