KNOWLEDGE BASED SOFTWARE TO MANAGE TUNNEL FOR ONLINE CONDITIONS

Optimal usage of transportation equipments are very important issue in many countries which use ITS. Tunnel is one of the transportation structures which has many transportation systems as Jet fans، LED، CCTV،… so there is a need to have a control room in tunnel، which helps using these sensors، and make decisions in different critical situations rapidly. In this paper operation of control room to manage tunnel intelligent transportation system، is mentioned and then based on knowledge engineering rule extractions are discussed. These rules are used as a database for expert system. Then they used for tunnel management. In knowledge engineering، learnable algorithms are run، and near extracting of rules، they made a report for tunnel administrator. As a result Naive bayes decision tree with lower process time and higher accuracy made a best result for Niayesh tunnel in Tehran.