Development and Calibration of Accident Management Systems in UAE- Phase I: A Control Perspective

The primary objective of this work is the development of a fuzzy logic based algorithmic procedure for a reactive highway (arterial) monitoring and incident detection. The research study also aim s at developing a methodology for analyzing time-dependent incident data. Five years of records were gathered and analyzed using data cross tabulation and factorial analysis. A Visual Basic Microscopic Simulation for Incident Modeling (MSIM) is developed to generate time-dependent accident detector data at intersections. MSIM is an abjectbased model that allows for the distribution of various detectors (on each lane) at different locations. MSIM has the ability to model different intersection layouts, traffic control types and timing, link characteristics (speed, number of lanes, etc.) MSIM is utilized to generate various accident scenarios at different accident locations assuming various detector distributions. The detector data are to be utilized in further work to develop the Fuzzy Logic for Incident Detection at Intersections (FL-IDI). An initial design of the FL-IDI was developed using real data replicates (extracted from the detectors on some major freeway). The system’s effectiveness was validated using some real accident data, and the results indicated a false detection rate of about 15% .