Intelligent Transportation Systems (ITS)
Intelligent Transportation Systems (ITS) is one of the key issue for future transportation. Many applications have been developed in the worldwide. In the following, some researches (conducted by me) are given. I hope these would be useful for related audience.
Intelligent (Smart) Traffic Control:
Graduate Studies
1. Murat, Y.S., (2001) "Fuzzy Logic Traffic Responsive Signal Cycle Model for Signalized Intersections", PhD Thesis, Institute of Natural and Applied Sciences, Istanbul Technical University. (In Turkish)
2. Baskan, O., (2004). “ Modelling Vehicle Delays at Isolated Signalized Intersections using Artificial Neural Networks" , MSc. Thesis, Pamukkale University Institute of Natural and Applied Sciences, 30.06.2004, Denizli, Turkey. (In Turkish-Awarded by Turkish Road Association as MSc. Thesis for 2005)
3. Yaslan, G. (2012). "Fuzzy Logic based Ramp Metering Model for Freeways and Highways", MSc. Thesis, Pamukkale University Institute of Natural and Applied Sciences, 05.07.2012, Denizli, Turkey (In Turkish)
Papers:
- Cakici, Z., Murat, Y.S., (2015) “Application of Heuristic based Optimization Algorithms on Vehicle Delay Problem” 7 th Symposium on Urban Infrastructure, Publication of The Union of Chambers of Turkish Architects and Engineers, November 13-14, Trabzon, Turkey.
- Murat, Y. S.,(2014) “Challenges and Vision of Fuzzy Logic based Traffic Signal Control Strategies“, 11th International Congress on Advances in Civil Engineering (ACE-2014), October 21-25, Istanbul-Türkiye.
- Murat, Y. S., Cakici, Z., Akcam, C., (2014) “An Analytical Hierarchy Process (AHP) based Decision Support System for Intersection Type Selection”, 11th International Congress on Advances in Civil Engineering (ACE-2014), October 21-25, Istanbul-Türkiye.
- Murat, Y. S., Cakici, Z., Yaslan, G., (2012) “Use of Fuzzy Logic Traffic Signal Control Approach as Dual Lane Ramp Metering Model for Freeways”, Special Session on Emerging Theories and Applications in Transportation Science in 17th Online Conference on Soft Computing in Industrial Applications, 10-21 December, 2012.
- Murat, Y.S., Demir, M. B., Cakici, Z. (2012) “Fuzzy Control Approach for Roundabout Metering Signals”, 15th Euro Working Group on Transportation, 10-13 September, Paris-France.
- Murat, Y.S. Kikuchi S., (2007) “The Fuzzy Optimization Approach:A Comparison with the Classical Optimization Approach using the Problem of Timing a Traffic Signal”. Transportation Research Record, No 2024, p 82-91, Washington D.C.
- Murat Y.S., (2007) "A new Approach for Modelling Vehicle Delay at Isolated Signalized Intersections",ITE Journal on the Web, November 2007
- Murat Y.S, Baskan Ö., (2006) “Modeling Vehicle Delays at Signalized Junctions: Artificial Neural Networks Approach”. Journal of Scientific and Industrial Research (JSIR), Vol 65, July 2006, pp 558-564.
- Murat Y.S., (2006) “Comparison of Fuzzy Logic and Artificial Neural Networks Approaches in Vehicle Delay Modeling” Transportation Research Part C- Emerging Technologies, Pergamon Press, Vol 14/1 pp 316-334.
- Murat Y.S.,(2006) “Vehicle Delay Modelling at Signalized Intersections using Fuzzy Logic”, Technical Journal of Turkish Chamber of Civil Engineers. Volume 17, Number 3, July 2006, pp 3903-3916, (in Turkish)
- Murat Y.S., Gedizlioğlu E.,(2005) “A Fuzzy Logic Multi-phased Signal Control Model for Isolated Junctions”. Transportation Research Part C- Emerging Technologies, Pergamon Press, Vol 13/1 pp 19-36.
- Ceylan, H., Murat, Y. S.,(2004). ‘Performance Comparison of TRANSYT and SIDRA with Genetic Algorithm and Fuzzy Logic in Sigalized Intersections’ 10th World Conference on Transport Research (WCTR), July 4-8, 2004, Istanbul, Turkey. (in English)
- Murat Y.S., Gedizlioglu E., (2003). ‘Fuzzy Logic Traffic Signal Control Model for Isolated and two phased intersections’. Technical Journal of Turkish Chamber of Civil Engineers. Volume 14, Number 2, April 2003, p 2949-2963. (in Turkish).
- Murat Y.S., Gedizlioğlu E., (2002). ‘A New Approach for Fuzzy Traffic Signal Control’. 13th Mini-EURO Conference on Artificial Intelligence in Transportation Systems and Science. Politecnico di Bari,10-13 June 2002, Bari, Italy. (in English)
- Murat Y.Ş., Gedizlioğlu E. (2000). " Artificial Intelligence Applications in Traffic Signal Control (An Artificial Neural Networks Traffic Volume Prediction Model)”. 4th International Congress on Advances in Civil Engineering. 1-3 November 2000, Eastern Mediterranean University, Gazimagusa, T.R.N.C., p 297-303. (in Turkish).
- Murat Y.Ş., Gedizlioğlu E. (1999). "Artificial Intelligence Applications in Traffic Signal Control". 15th Technical Congress and Exhibition about Civil Engineering. METU Congress Center. 24-25-26 November 1999, Ankara, Turkey. p523-541. (in Turkish).
Intelligent Public Transportation Management:
Graduate Studies
1. Uludağ, N., (2010). “Modelling of Bus Lines using Fuzzy Optimization and Linear Goal Programming” Ph.D. Thesis, Pamukkale University Institute of Natural and Applied Sciences, 21.07.2010, Denizli, Turkey.
Intelligent Transport Modelling:
Graduate Studies
Uludağ, N., (2005). “Route Choice Behavior Modelling of Road Users at Denizli Urban Road Network", MSc. Thesis, Pamukkale University Institute of Natural and Applied Sciences, 04.08.2005, Denizli, Turkey.
Papers:
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- Murat, Y.S.(2017) "Modeling Route Choice Behavior in Transportation Networks using Fuzzy Information Axiom Approach" Online Proceedings of the 96th Annual Meeting of the Transportation Research Board (TRB), Washington D.C.,USA,January, 08-12, 2017.
- Murat, Y.Ş., Uludag N., (2008) “Route Choice Modelling in Urban Transportation Networks using Fuzzy Logic and Logistic Regression Methods” Journal of Scientific and Industrial Research (JSIR), Volume 67, pp 19-27, 2008.
Intelligent Traffic Safety Modelling:
Graduate Studies
Şekerler, A. (2008). “Analysis of Traffic Accidents using Fuzzy Clustering Approach”, MSc. Thesis, Pamukkale University Institute of Natural and Applied Sciences, 23.07.2008, Denizli, Turkey.
Papers:
- Murat, Y.S., Cakici, Z.(2016) "An Integration of Different Computing Approaches in Traffic Safety Analysis", presented at The 19th EURO Working Group on Transportation Meeting (EWGT-2016), 5-7 September, Istanbul, Turkey.
- Murat, Y.Ş., Şekerler A. (2009), “Modelling Traffic Accident data by Clustering Approaches”.Technical Journal of Turkish Chamber of Civil Engineers , Volume 20, Number 3, July 2009, p 4759-4777, 2009 (in Turkish)
- Murat, Y. S., (2011) “An Entropy (Shannon) based Traffic Safety Level Determination Approach for Black Spots”, PROCEDİA, Social and Behavioral Sciences, Vol. 20, p 786-795
- Murat, Y.S., Firat, M., Altun S. (2008) “Analysis of Traffic Accidents using Fuzzy Clustering and Geographical Information Systems”, Proceeding of the 10th International Conference on Applications of Advanced Technologies in Transportation (AATT), 27-31 May 2008, pp1443-1457, Athens Greece