University of Qom Civil Infrastructure Researches 2783-140X 1 1 (Special Issue) 2014 08 23 KNOWLEDGE BASED SOFTWARE TO MANAGE TUNNEL FOR ONLINE CONDITIONS KNOWLEDGE BASED SOFTWARE TO MANAGE TUNNEL FOR ONLINE CONDITIONS 1 12 570 10.22091/cer.2014.570 FA Shadi Abpeykar PhD Student, Department of Mathematics and Computer Science, Amirkabir University of Technology. Mehdi Ghatee Assistant Professor, Department of Mathematics and Computer Science and Research Institute for Traffic Engineering and Transportation Focused on Intelligent Transportation Systems, Amirkabir University of Technology. Journal Article 2014 03 29 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. 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. https://cer.qom.ac.ir/article_570_8b951669d6896ebd6002d4d9fee5f15f.pdf