Practically all major metropolitan and large scale modern intelligent transportation systems have a centralized traffic management center (TMC) at their logical and functional core. The TMC provides control, coordinates system wide communications, and typically serves as a common hub from which multiple agencies plan and execute coordinated incident responses. Early in the development of the Oklahoma statewide ITS, it became clear that the costs associated with building and operating a large, centralized TMC would be prohibitive. An alternative design strategy emerged built around a distributed peer-to-peer network of low-cost ITS consoles based on desktop PC's equipped with innovative software and special hardware to support efficiently handling multiple video streams simultaneously. This has led to a geographically distributed, fault-tolerant communications and control system where the desirable functionality of a large centralized TMC is realized by a virtual TMC that enables the stakeholder agencies to remain physical located in their current facilities around the State. In this paper, we provide an overview of the system architecture as it has evolved through the first quarter of 2009 and highlight some of the recently developed system enhancements.
In an effort to monitor and alleviate roadway traffic conditions, the Oklahoma Department of Transportation (ODOT) has deployed a statewide Intelligent Transportation Systems (ITS) architecture consisting of a large number of devices, including cameras, dynamic message signs, and speed sensors along Oklahoma highways. These devices are connected throughout a private ITS fiber-optic network to controlling stations located at stakeholder agencies statewide, forming a virtual Traffic Management Center (TMC). This decentralized approach allows individual consoles on the virtual TMC to display and control reachable devices even if portions of the network become disconnected. Enabling this fault-tolerant design is a novel peer-based communications protocol. The communication system is dynamically configured and automatically resolves communications regardless of network configuration. This paper introduces this robust peer-based approach and describes its implementation within the Oklahoma virtual TMC. Results of this implementation of the system are also presented.
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