Modeling and Evaluation Incident Detection Algorithms using Microscopic Simulation: A Case of D 100 Highway, Istanbul

Three incident detection algorithms (California, Minnesota and SNS) have been tested on 2.5km-length section of D100 Highway using PARAMICS microscopic simulation software. PARAMICS model evaluation showed that all three algorithms are well suited for the Istanbul traffic. California, Minnesota and SNS Algorithms are better in medium traffic demand since detection rate values are increased by 25%, 31.5% and 25%, respectively. Mean time to detect (MTTD) values are also good in medium traffic demand in that they decrease by 48.99%, 59.26% and 48.80%, respectively. Actually, Minnesota Algorithm had superior performance with the lowest MTTD value (0.88 min). In addition, there is only one false alarm generated by SNS Algorithm in low traffic demand. All of the tested algorithms when properly calibrated can be implemented using real time traffic data provided that distances between the detectors are equally spaced and smaller than 800 m by the traffic control centers