Performance modeling and evaluation of real-time traffic status query for intelligent traffic systems
Jie Ding, Rui Wang, Xiao Chen · 2016
As product of the combination of Internet technology and sensor network, Internet of things (IoT) greatly facilitates the mutual interaction of the information world and physical world. Furthermore, with the rapid development of modern transportation systems, as a typical successful application of IoT in the real life, intelligent traffic system (ITS) has a great significance on management of the traffic information and transport infrastructure. Therefore, in order to achieve the efficient use of transportation resources, it is particularly important to evaluate and analyze the performance of ITS. In this paper, an advanced high level formalization — Performance Evaluation Process algebra (PEPA), a kind of stochastic process algebra (SPA), is adopted to model the process of real-time traffic status query in ITS. Meanwhile, by using fluid approximation approach to analyze performance of the model and then the performance parameters of the system in practical application can be achieved accurately.