Informatics and Applications
2018, Volume 12, Issue 3, pp 107-114
MODEL OF TRANSPORTATION OF TRAINS AND SHUNTING LOCOMOTIVES AT A RAILWAY STATION FOR EVALUATION AND ANALYSIS OF SIDE-COLLISION PROBABILITY
- A. V. Bosov
- A. N. Ignatov
- A. V. Naumov
Abstract
A mathematical model for solution of the shunting locomotives traffic control problem is proposed for a fixed schedule of passenger/freight trains traffic across a station and a fixed time-table of shunting operations: set off and attaching of cars, output operation and deconsolidation of trains. The model is used for formulation and solution of the problem to minimize time of shunting locomotive transportation across the station to perform next scheduled operation with respect to busy condition of some tracks for transportation owing to presence of passenger/freight trains on them and with respect to restriction on shunting operation execution time. The original statement is reduced to mixed integer linear programming. The presented model was used for evaluation of side-collision probability at a railway station with respect to possible random drag in passenger trains traffic. The results of numerical experiments are presented.
[+] References (14)
- GOST 33433-2015. 2016. Bezopasnost' funktsional'naya. Upravlenie riskami na zheleznodorozhnom transporte [Functional safety. Risk control in railroad transport]. Moscow: Standartinform. 34 p.
- Shubinsky, I. B., O.B. Pronevich, and A. D. Danilova. 2016. Osobennosti otsenki veroyatnosti vozniknoveniya pozharov na teplovozakh razlichnykh seriy [Special aspects of estimating the probability of fire occurrence on diesel locomotives of various types]. Dependability 16(4):24-29. doi: 10.21683/1729-2646-2016-16-4-2429.
- Krutikov, A. M. 2016. Otsenka nadezhnosti rel'sov R65po resursu: eksperimental'nye issledovaniya [Evaluation of the dependability of rails R65 on the resource: Experimental researches]. Moscow: Finansy i statistika. 151 p.
- Zamyshliaev, A.M., A.N. Ignatov, A.I. Kibzun, and E. O. Novozhilov. 2018. Funktsional'naya zavisimost' mezhdu kolichestvom vagonov v skhode iz-za neis- pravnostey vagonov ili puti i faktorami dvizheniya [Functional dependency between the number of wagons derailed due to wagon or track defects and the traffic factors]. Dependability 18(1):53-60. doi: 10.21683/1729-2646-201818-1-53-60.
- Kibzun, A. I., and A. N. Ignatov. 2018. O zadache raspre- deleniya investitsiy v ustanovku sredstv, predotvrashcha- yushchikh nesanktsionirovannyy proezd avtotransportom zheleznodorozhnykh pereezdov, dlya razlichnykh statis- ticheskikh kriteriev [On the task of allocating investment to facilities preventing unauthorized movement of road vehicles across level crossings for various statistical cri-teria]. Dependability 18(2):31-37. doi: 10.21683/1729-2646-2018-18-2-31-37.
- Bagheri, M., F. Saccomanno, S. Chenouri, and L. Fu. 2011. Reducing the threat of in-transit derailments involving dangerous goods through effective placement along the train consist. Accident Anal. Prevent. 43(3):613-620. doi: 10.1016/j.aap.2010.09.008.
- Ignatov, A. N., A. I. Kibzun, and E. N. Platonov. 2016. Estimating collision probabilities for trains on railroad stations based on a Poisson model. Automat. Rem. Contr. 77(11): 1914-1927.
- Shubinsky, I. B., A. M. Zamyshlyaev, A. N. Ignatov, Yu. S. Kan, A. I. Kibzun, and E. N. Platonov. 2016. Otsen- ka riskov, svyazannykh s proezdom zapreshchayushchego signala svetofora, manevrovym sostavom ili passazhirskim poezdom [Estimation of risks related to stop signal passed by shunting loco or passenger train]. Dependability 16(3):39-46. doi: 10.21683/1729-2646-2016-16-3-3946.
- Ivanov, S.V., A.I. Kibzun, and A.V. Osokin. 2016. Stochastic optimization model of locomotive assignment to freight trains. Automat. Rem. Contr. 77(11):1944-1956.
- Lazarev, A.A., E.G. Musatova, and I.A. Tarasov. 2016. Two-directional traffic scheduling problem solution for a single-track railway with siding. Automat. Rem. Contr. 77(12):2118-2131.
- Gainanov, D.N., and V.A. Rasskazova. 2017. Matema- ticheskoe modelirovanie v zadache optimal'nogo nazna- cheniya i peremeshcheniya lokomotivov metodami teorii grafov i kombinatornoy optimizatsii [Mathematical mod-elling of locomotives' traffic problem by graph theory and combinatorial optimization methods]. Trudy MAI 92. 24 p.
- Buyanov, M. V., S. V. Ivanov, A. I. Kibzun, and A. V. Naumov. 2017. Razvitie matematicheskoy modeli upravleniya gruzoperevozkami na uchastke zheleznodorozhnoy seti s uchetom sluchaynykh faktorov [Development of the mathematical model of cargo transportation control on a railway network segment taking into account random factor]. Informatika i ee Primeneniya - Inform. Appl. 11(4):85-93. doi: 10.14357/19922264170411.
- Iskakov, T. A. 2016. Imitatsionnoe modelirovanie funktsi- onirovaniya transportnogo uzla [Simulation modelling of functioning transport hub]. Trudy V nauchno- tekhnich. konf. s mezhdunarodnym uchastiem "Intellek- tual'nye sistemy upravleniya na zheleznodorozhnom transporte. Komp'yuternoe i matematicheskoe modelirovanie" [5th Science and Technological Conference (with International Participation) "Intellectual Control Systems in Railroad Transport. Computer and Mathematical Modeling" Proceedings]. Moscow. 221-225.
- Shubinskiy, I. B. 2012. Funktsional'naya nadezhnost' infor- matsionnykh sistem. Metody analiza [International functional dependability of information systems. Methods of analysis]. Ul'yanovsk: Pechatnyy dvor. 296 p.
[+] About this article
Title
MODEL OF TRANSPORTATION OF TRAINS AND SHUNTING LOCOMOTIVES AT A RAILWAY STATION FOR EVALUATION AND ANALYSIS OF SIDE-COLLISION PROBABILITY
Journal
Informatics and Applications
2018, Volume 12, Issue 3, pp 107-114
Cover Date
2018-08-30
DOI
10.14357/19922264180315
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
simulation model; schedule; intensity; mixed integer linear programming
Authors
A. V. Bosov , A. N. Ignatov , and A. V. Naumov
Author Affiliations
Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Moscow Aviation Institute (National Research University), 4 Volokolamskoe Shosse, Moscow 125993, Russian Federation
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