Service-oriented dynamic data driven application systems to urban traffic management in resource-bounded environment

Abstract

With advance in distributed system technology, data has become ubiquitous and its dynamics has increased. Therefore, in this paper we proposed a new framework to integrate dynamic data driven application systems (DDDAS) with service-oriented architecture (SOA) and web services technology to tackle dynamic data issue in a real-time and resource-bounded environment. Nowadays, traffic management in Intelligent Transportation Systems (ITS) has been widely developed in major cities' urban areas around the world to provide more efficient way for solving traffic congestion problem. However, the problems in dynamic traffic management systems such as system flexibility, data standard common interface, transmission of required information, prediction performance, and real-time measurement data are all important issues but not totally supported. An efficient and effective service-oriented dynamic data-driven framework algorithm is designed in this paper to support prediction strategies for traffic management. The simulation results of vehicle navigation show that our algorithm outperforms the Dijkstra algorithm by improving 24.43% in average vehicle travelling time. On the other hand, the results of traffic signal control also show that our algorithm improves the performance in vehicles average number of stops by 43.7%, and 70.62% in average delay time that is compared with the fixed time control method.