Ýol hereketini dolandyryş ulgamynyň iş prosesini amatlaşdyrmak
Doly tekst
Gysgaça beýany
Ulag akymynyň durnuksyzlygynda we dürlüliginde adaty ýolyşygyň duýdurma wagtlarynyň hemişelik bolmagy awtoulaglaryň hereketinde käbir kynçylyklary döredýär we kähalatlarda ýol ulgamynda dykynlaryň döremegine sebäp bolýar. Şunlukda, çatrygyň geçirijilik ukybyny ýokarlandyrmak bilen birlikde ýola sarp edilýän wagty azaltmak üçin ýolyşygyň dolandyryş ulgamyny kämilleşdirmek zerurlygy ýüze çykýar, ýöne ulag akymynyň durnuksyzlygynda bu dolandyryş ulgamyny kämilleşdirmek anyk däl logikanyň peýdalanylmagynda has-da ýeňilleşdirilýär. Bu iş anyk däl logikanyň esasynda ýol hereketiniň dolandyryş ulgamynyň iş prosesini kämilleşdirmäge gönükdirilendir. Bu dolandyryş ulgamynyň modeli Mamdaniniň algoritimi esasynda düzülip, zerur bolan düzüjileri özünde jemleýän Fuzzy logic Toolbox goşmaçaly MATLAB programma üpjünçiligi ulanyldy. Anyk däl algoritmiň ulanylmagy çatrykda eglenmeleriň we ulag dykynlarynyň döremeginiň öňüni almaga mümkinçilik berer.
Esasy sözler
Anyk däl model, ulag akymy, intellektual ulgam, ýol hereketi, anyk däl netije çykaryş ulgamy.Awtor barada
Gulmät PenaýewTürkmenistanyň Inžener-tehniki we ulag kommunikasiýalary instituty
Turkmenistan
Türkmenistanyň Inžener-tehniki we ulag kommunikasiýalary institutynyň ylym işleri boýunça prorektory
Röwşen Hydyrow
Türkmenistanyň Inžener-tehniki we ulag kommunikasiýalary instituty
Turkmenistan
Türkmenistanyň Inžener-tehniki we ulag kommunikasiýalary institutynyň mugallymy
Edebiýatlar
1. Alam J., Pandey M. K. «Development of intelligent traffic light system based oncongestion estimation using fuzzy logic» IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 3, Ver. VI (May-Jun. 2014), PP 36-44.
2. Castán Rocha, J.A., Ibarra Martínez S., Laria Menchaca J., Terán Villanueva, J.D., Treviño Berrones, M.G., Pérez Cobos, J. and Uribe Agundis, D. (2018) Fuzzy Rules to Improve Traffic Light Decisions in Urban Roads. Journal of Intelligent Learning Systems and Applications, 10, 36-45.
3. Chiu S. «Adaptive Traffic Signal Control Using Fuzzy Logic». Proceedings of the IEEE Intelligent Vehicles Symposium, 1992, pp.98-107.
4. Henry X. Liu, Xuegang Ban, Bin Ran, and Pitu Mirchandani, A Formulation and Solution Algorithm for a Fuzzy Dynamic Traffic Assignment Model, Institute of Transportation Studies, University of California, Irvine, U.S.A, 2002.
5. Heribert Kirschfink, and Claire Chadenas, Traffic Situation Prediction Applying Pattern Matching and Fuzzy Classification, Germany, 1998.
6. Hiroaki Inokuchi, and Shogo Kawakami, Development of the Fuzzy Traffic Assignment Model, Kanasai University, 2000.
7. John Taplin, Simulation Models of Traffic Flow. Department of Information Management and Marketing, University of Western Australia, 1999.
8. Junaid A. Khan, and Hussein Alnuweiri, A Traffic Engineered Routing Algorithm Based on Fuzzy Logic, Department of Electrical and Computer Engineering, University of BC, Vancouver, Canada, 2002.
9. Mariusz Kaczmarek, Fuzzy Group Model of Traffic Flow, Institute of Computing Science, Poznañ University of Technology, 1999.
10. Martin McNeill F., Ellen Thro. Fuzzy Logic. A Practical Approach Boston: Academic Press, 1994.
11. Nakatsuyama M., Nagahashi H., and Nishizuka N. «Fuzzy Logic Phase Controller for Traffic Junctions in the One-Way ArterialRoad». Proceedings of the IFAC Ninth Triennial World Congress, 1984, pp. 2865- 2870.
12. Niittymaki J., and Pursula M. «Signal Control Using Fuzzy Logic. Fuzzy Sets and Systems», Vol. 116, 2000, pp. 11-22.
13. Pappis C.P., and E. H. Mamdani. «A Fuzzy Logic Controller for a Traffic Junction». IEEE Transactions on Systems, Man, andCybernetics, Vol. SMC-7, No. 10, October 1977, pp. 707-717.
14. Richard Fujimoto, and John Leonard, Grand Challenges in Modeling and Simulating Urban Transportation Systems, Georgia Institute of Technology, 2001.
15. Shruthi K.R. and Vinodha K. «Priority based traffic lights controller using wireless sensor networks» International Journal ofElectronics Signals and Systems (IJESS) ISSN: 2231- 5969, Vol-1 Iss-4, 2012 PP 58- 61.
16. Tony Smaldone, Traffic Light Simulation: A Study into how Long it Takes Vehicles Stopped at a Red Light to go and to Cross the Light After it Turns Green, Rutgers University, 2001.
17. Yetis Sazi Murat, and Ergun Gedizlioglu, A New Approach for Fuzzy Traffic Signal Control, PamukkaleUniversit& Istanbul Technical University, Turkey, 2001.
18. Yun-Chung Chung, Jung-Ming Wang, and Sei-Wang Chen, A Vision-based Traffic Light Detection System at Intersections, Journal of Taiwan National University: Mathematics, Science & Technology, Vol. 47, No. 1, 2002, 67-86.
19. Вентцель Е.С. Теория вероятностей. – М., 1969.
20. Гасников А.В., Кленов С.Л., Нурминский Е.А., Холодов Я.А., Шамрай Н.Б Введение в математическое моделирование транспортных потоков. Учебное пособие – М.: МФТИ, 2010.
21. Леоненков А.В. Нечеткое моделирование в среде MATLAB и fuzzyTECH. – СПб.: БХВ Петербург, 2005.
22. https://fuzzymodel.wordpress.com/светофор/
23. https://www.mathworks.com/products/fuzzy-logic.html