Abstract
Dynamic traffic signal control 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 signal control systems such as system flexibility, data standard common interface, transmission of required information, prediction performance, and real-time measurement data are all important issues. 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, for a decentralized traffic signal control system. An efficient and effective distributed data-driven optimization algorithm is designed in this framework to produce an optimal result and best strategy for signal control.
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