Abstract:
Traffic information systems play an important role in the world as numerous people
rely on the road transportation network for their most important daily functions. This
dissertation proposes general system architecture for processing and predicting
accurate, timely traffic information via existing mobile telecommunication network. It
also specifically addresses the challenges with estimating traffic conditions using
traditional methods.
This dissertation introduces architecture to design and implement of a Mobile
Telecommunication Network Based Traffic Calculating and Estimating Method. The
proposed system will be built on top ofthe existing cellular network infrastructure. It
can be identified as an efficient, low cost and real-time method. Based on concept that
‘many road users are also the customers of a cellular operator’, this study demonstrate
how specific road conditions are mapped to certain signaling patterns in the cellular
core network. In order to estimate the road traffic, signaling is collected from the core
network of an operational mobile network. Based on the explorative analysis of real
signaling and traffic data; normal and abnormal road conditions are mapped into
mobility signals in a real cellular network. This method will increase the accuracy and
helps to build an optimal or near optimal Road Traffic Monitoring System. This study
will provide the base to build the complete and accurate traffic estimation and control
system by giving mobile signaling traffic models. Thus, with the increasing
competition among the service providers, providing valued services will be a key
factor in retaining and attracting customers.
