Adaptive signal management using event processing networks

Efficient traffic control systems are required in towns and cities around the world. As the number of vehicles increase, and new infrastructure is less viable; high levels of mobility become essential. This work proposes a strategy for Intelligent Transportation Systems (ITS), in particular for the task of adaptive signal management. This approach is based on Complex Event Processing (CEP). Event processing provides fast assessment of the situation, due to its inherent capabilities for pattern detection and information composition. This work proposes an architectural model based on the concept of event processing networks. Our model is specifically designed to derive events obtained from loop detectors and compose enhanced signal timings, representing accurately the requirements of the roadway for signal management.