A Traffic Congestion Framework for Smart Riyadh City based on IoT Services
2018
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.
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