A real-time information processing algorithm for the evaluation and implementation of ATMS strategies

One component of the overall intelligent vehicle highway system (IVHS) is the advanced traffic management system (ATMS). An ATMS functions as the central nervous system of the overall transportation system, receiving and combining inputs from a variety of standard (on-street loops, operator-inputs) and advanced technology (image processing, in-vehicle probes) sources. Evaluation of ATMS strategies involves simulation of large systems of traffic actuated controllers and, ultimately, development of dynamic `real-time´ optimization strategies. In general, existing simulation and optimization tools were developed for `off-line´ analysis and typically impose restrictions on the types of signal control systems which can be simulated. This paper focuses on development of a `real-time´ information processing algorithm, based on a macroscopic, platoon-based model of traffic flow, for the evaluation of systems of coordinated and uncoordinated traffic actuated controllers