Unification of Passenger Trains when Organising Irregular Railway Transportation

Passenger transportation by rail can be divided into regular (travelling with labour or recreational purposes, weekend trips), and irregular (tourist, rotational, migration and others). The organisation of regular transportation is based on medium- and long-term planning of number of transported passengers, which is not applicable to irregular transportation.

Determining the optimal layout of a passenger train, the number of main types of sleeping cars (with compartments and reserved seats without compartments) is one of the key tasks in organising railway passenger transportation, including irregular one.

One of the promising improvements in development of longdistance railway passenger transportation is unification of passenger trains, which makes it possible to organise a comprehensive rotation of trains, thereby reducing non-operational downtime and increasing the efficiency of using rolling stock.

Studies to assess the optimal composition of a long-distance train were carried out for regular railway transportation. However, considering several features of irregular passenger transportation, such as short-term planning of the volumes, high differentiation in the number of groups of passengers, a possibility of using free seats on trains on existing routes, it is necessary to re-evaluate the effectiveness of using unified passenger train composition schemes under these conditions.

The development of standard compositions of passenger trains is carried out using the cluster analysis method. The use of three unified compositions is proposed. When developing proposals for unifying the layouts of passenger trains in circulation, it is necessary to consider the additional passenger traffic in irregular transportation, which cannot be absorbed using the remaining free seats. The results of the study were applied to a fragment of the North-Eastern part of railway network.

1. Pazoisky, Yu. O., Glazkov, D. V. Mathematical model for optimising long-distance passenger transportation [Matematicheskaya model optimimzatsii passazhirskikh perevozok v dalnem soobshchenii]. Vestnik VNIIZhT, 2004, Iss. 2, pp. 46–47.

2. Pazoisky, Yu. O., Glazkov, D. V. Mathematical model for establishing the passenger demand function for longdistance transportation [Matematicheskaya model ustanovleniya funktsii sprosa passazhirov na perevozki v dalnem soobshchenii]. Vestnik VNIIZhT, 2004, Iss. 6, pp. 46–47.

3. Shmal, V. N. Optimisation of circulation schemes for passenger trains [Optimizatsiya skhem obrashcheniya passazhirskikh poezdov]. Zheleznodorozhniy transport, 2010, Iss. 6, P. 61. EDN: OYYPJD.

4. Pazoisky, Yu. O., Saveliev, M. Yu., Milkov, A. Yu. Unification of long-distance passenger train layouts [Unifikatsiya skhem sostavov passazhirskikh poezdov Dalnego soobshcheniya]. Transport: science, technology, management. Scientific information collection, 2015, Iss. 5, pp. 7–13. EDN: TRRUUL.

5. Pazoisky, Yu. O., Saveliev, M. Yu., Milkov, A. Yu. Linking passenger trains of different destinations into a single circulation scheme [Uvyazka sostavov passahirskikh poezdov raznykh naznachenii v obshchiy oborot]. Transport: science, technology, management. Scientific information collection, 2015, Iss. 9, pp. 7–14. EDN: UILSED.

6. Pazoisky, Yu. O., Saveliev, M. Yu., Baturin, A. P. Maximising the number of long-distance passenger trains during the period of growth of passenger flows due to the intensification of the use of trains [Maksimizatsiya chisla passazhirskikh poezdov Dalnego sledovaniya v period rosta passazhiropotoka sa schet intensifikatsii ispolzovaniya sostavov poezdov]. Competitiveness in the global world: economics, science, technology, 2016, Iss. 9–1 (23), pp. 166– 171. EDN: XIKKET.

7. Sidrakov, A. A. Optimum for competition. World of Transport and Transportation, 2008, Vol. 6, Iss. 3 (23), pp. 94–98. EDN: KDSYTZ.

8. Sidrakov, A.A. Rapid passenger traffic and fare level. World of Transport and Transportation, 2012, Vol. 10, Iss. 1 (39), pp. 106–109. EDN: OWZJBN.

9. Ilyaguev, S. P., Sidrakov, A.A. Problems and prospects for development of railway tourist transportation [Problemy i perspektivy razvitiya zheleznodorozhnykh turisticheskikh perevozok]. In: Academician Vladimir Nikolaevich Obraztsov – the founder of transport science: works of international scientific and practical science conference dedicated to the 125th anniversary of the university, Moscow, October 22, 2021. Moscow, Russian University of Transport, 2021, pp. 165–168. EDN: PXYDFS.

10. Pazoisky, Yu. O., Saveliev, M. Yu., Sidrakov, A. A., Sharov, V. A. Algorithm for optimising the number of passenger trains in circulation, taking into account possible changes in the time of departure and arrival of trains at terminal stations [Algoritm optimizatsii chisla sostavov passazhirskikh poezdov v oborote s uchetom vozmozhnogo izmeneniya vremeni otpravleniya i pribytiya poezdov na konechnie stantsii]. Competitiveness in the global world: economics, science, technology, 2017, Iss. 3–5 (36), pp. 112– 116. EDN: YJLSQB.

11. Vakulenko, S. P., Ilyaguev, S. P., Sidrakov, A. A. Organisation of irregular railway transportation [Organizatsiya neregulyarnykh zheleznodorozhnykh perevozok]. Ekonomika zheleznykh dorog, 2021, Iss.6, pp. 79–87. EDN: SERZCT.

12. Pazoisky, Yu. O., Saveliev, M. Yu., Sidrakov, A. A. [et al]. Railway passenger transportation (selected chapters): Study guide [Zheleznodorozhnie passazhirskie perevozki (izbrannie glavy): Ucheb. posobie]. Ed. by D.Sc. (Eng), prof. Yu. O. Pazoisky. Moscow, RUT (MIIT) publ., 2020, 407 p. EDN: QXRJJV.

13. Ilyaguev, S. P. Estimation of the law of distribution of the number of cars in trains during irregular railway passenger transportation [Otsenka zakona raspredeleniya chiska vagonov v sostave poezdov pri neregulyarnykh zheleznodorozhnykh passazhirskikh perevozkakh]. Innovatsii. Nauka. Obrazovanie, 2022, Iss. 52, pp. 448–451. EDN: HCCEGB.

14. Ilyaguev, S. P. Analysis of irregular passenger transportation by rail [Analiz neregulyarnykh passazhirskikh perevozok na zheleznodorozhnom transporte]. Ekonomika zheleznykh dorog, 2021, Iss. 7, pp. 68–74. EDN: DGZXFY.