Microscopic simulation in decision support system for the incident induced traffic management

This paper is a part of a comprehensive study in which a decision support system is developed to facilitate traffic mangers in tackling the post incident traffic flows on the freeway network in Korea. The system employs Cellular Automata, which is a microscopic simulation platform. This paper suggests two additional rules to in the modified version of the conventional model. This has enabled us to model more realistically the dynamic flow parameters in post incident scenario. A comparative study of the proposed model with the conventional and modified models suggests that our model displays more realistic results.