MODELING THE SYSTEM OF VEHICLE AND DRIVER ACTIVITY

АННОТАЦИЯ

В статье рассматривается моделирование системы деятельности транспортных средств и водителя в соответствии с режимом движения. При этом на основе моделирования процесса движения автомобиля по маршруту нормируются такие показатели, как его средняя техническая скорость, среднее время одной поездки. В следствие чего, определяется потребность времени доставки и его надежности.

АBSTRACT

The article discusses the modeling of the system of activity of vehicles and the driver in accordance with the mode of movement. At the same time, on the basis of modeling the process of car movement along the route, such indicators as its average technical speed, the average time of one trip are normalized. As a consequence, the need for delivery time and its reliability is determined.

Ключевые слова: Автомобильный транспорт, моделирование, режим движения, техническая скорость, маршрут.

Keywords: Automobile transport, process modeling, driving mode, technical speed, route.

Introduction.

In our country, special attention is paid to the organization and development of transport services and its important infrastructure. Due to the peculiarities of the geographical location and socio-economic development of Uzbekistan, road transport occupies a leading position in the country's transport system. The large-scale socio-economic reforms carried out in the country in recent years and aimed at increasing the industrial potential of the regions, radically changing the appearance of cities and rural areas require more intensive development of road and transport infrastructure as an important factor in increasing the intensity of economic ties. [1].

There are issues such as construction of new roads and modernization of existing ones, increasing their capacity and ensuring traffic safety on roads and traffic flow management. In solving such problems, first of all, it is necessary to develop mechanisms for changing the structural structure of the movement process and the state of motion. Given the importance of improving traffic flow management in improving road safety and efficiency, it is advisable to develop scientifically based proposals and recommendations based on the analysis of its indicators to improve traffic flow management [2]. Many factors in existing street conditions need to be taken into account when determining traffic flow indicators.

The complexity of the assessment of traffic conditions and the need to analyze a large number of indicators in it requires a systematic approach to the issue. As a result of a systematic analysis of the complex "Traffic flow-road conditions-air-climatic conditions", the indicators were summarized by symptoms. Criteria for assessing the condition of vehicles include: the level of comfort of movement, the level of traffic safety and the level of economy of movement [11,12].

Literature review. The laws of formation and distribution of many other indicators, such as the speed of the vehicle on different roads and traffic flow conditions, are the leading scientists in the field of road transport and roads, traffic and traffic organization – V.F. Babkov, V.V. Silyanov, A.E. Belsky., D.Bauersoks, A.V. Velmojin, V.A. Gudkov, L.B. Mirotin, A.L. Nosov, Sh.A. Butaev, G'.A. Samatov, Q.H. Azizov., A.X. Urokov, A.A. Nazarov and A.O. Kuziev, M.N. Juraev other scientists conducted research. In particular, Doctor of Technical Sciences, professor V.V. Silyanov in his scientific work substantiated the application of methods of the theory of traffic flows in the assessment of the ability of roads and the effectiveness of relevant design solutions [3,4,5].

A.A. Nazarov has developed an imitation model that reflects the mode of movement of vehicles on the roads passing through the territory of residential areas. This model regulates traffic on two-lane roads passing through residential areas on the principle of "special" cases [9].

D. Bauersoks ’creation of transport and logistics infrastructure, including transport networks, vehicles and transport companies, S.M. Rezer's models and problems of management of regional transport systems, G.A. Samatov's organization, management and innovative development of transport system activity, A.O. Kuziev, issues of optimal distribution of freight flows on regional transport networks, M. Ravshanov's way -Research on optimizing the use of resource potential in the transport sector can be highlighted [7,8].

Methodology.

The main disadvantages of these approaches are that in the above-mentioned studies, the speed of the car is determined according to a random law determined on the basis of statistical observations, while speeds do not take into account the traction and dynamics of the car and the driver's mental and physiological abilities. Therefore, the article deals with the organization of the movement in "special cases". This involves the formation of a model of changing the state of motion in the process of movement [13,14].

Based on a systematic approach, it is expedient to analyze the movement of vehicles on the route by modeling them, taking into account changes in the parameters of traffic flow in real time and space [6].

When modeling the “Vehicle and Driver Traffic Activity” (AH) system, it is necessary to study their transition times from one state to another. In each case (tєT) the vehicle and the driver's safe traffic activity system on the route is in a possible (К_t)  state. Let K be the set of possible states of the system. We shape the safe operation of this system according to its mode of operation. In this case, the system can be in the following cases:

К₁– constant state of motion;

K₂ - accelerated motion mode;

K₃ - deceleration mode;

K₄ - stationary position.

If we denote by Ki the variables that determine the state of the system "Motor vehicles and the movement of the driver in the direction of traffic", then this system can be expressed as follows, that is

К={К_i}={ К₁ К₂ К₃ К₄}.

We define the state of this system in time and space with the variables { l_t, t }, where - determines the distance traveled by the route from the starting point l_t = 0 for time t; where l_m is the total length of the route.

The transition of the studied system from one state to another depends on the internal technical and technological capabilities of the vehicle, the psycho-physiological abilities of the driver, the external environment.

The system under study changes its state under two different influences:

1) realization of internal capabilities of system;

2) Restrictions on the mode of movement and performance of the external environment.

Now let us construct a mathematical model that formalizes the mechanism of transition of public transport and the driving system from one state to another. As we have already stated, if we define the state of the system at each t - time with a discrete set К_t, it consists of a set of К_i - variables, and this set is expressed as follows:

К_t ={ К_i }={К₁ , К₂ , К₃ , К₄}.

This model has the following features:

{Ki} is each variable in the set, they can only take two values 0 or 1, that is,

К₁= {0;1}; К₂ ={0;1};  К₃ ={0;1};  К₄={0;1}.   

If one variable is equal to 1, the system is in that state, and the Ks that characterize the other state are equal to 0.

In each case, the time spent in this position is described by Δt and the distance traveled by Δl.

If one variable is equal to 1, the system is in that state, and the К_i that characterize the other state are equal to 0.

In each case, the time spent in this position is described by Δt and the distance traveled by Δl:

The status of the system in the rhythm mode is determined by the following parameters:

К₁={ К₁=1, Δl₁ , Δt₁  }.

Other instances of a similar system are also determined by the parameters of a particular content.

Δl₁ - a road covered by motor vehicles in different modes;

Δt₁-vehicle running and stopping times in different modes accordingly.

Results. The possible states of the AH system on the mode of movement on the route and the process of transition from one state to another are formed as follows:

• when in a straight motion mode,  К₁=1  and К₂ =К₃= К₄ = 0;
• in acceleration mode,  К₂=1 ва К₁ =К₃= К₄ = 0;      
• if in deceleration mode, К₃=1 ва К₁ =К₂= К₄ = 0;      
• if in standby mode, then K₄ = 1 and K₁ = K₂ = K₃ = 0.

where 1, 2, 3, and 4 are the indices of the rhythm, acceleration, deceleration, and pause states of the system over time, respectively. The number of such cases up to a certain period is determined by the following expressions:

;    ;   ;   .

In conclusion, modeling the process of moving the car on the route normalizes such indicators as its average technical speed, average time per trip, and as a result, the above parameters meet the most important aspect of the transport service sold to reliably meet the needs of the consumer.

References:

1. Вельможин А.В., Гудков В.А., Миротин Л.Б. Теория организация и управление автомобильными перевозками: логистический аспект фомаршрутирования перевозочных процессов. Волгоград: РПК «Политехник», 2001.- 179 с.
2. Бауэрсокс Дональд Дж., Клосс Дейвид Дж. Логистика: интегрированная цепь поставок. М: Олимп-Бизнес, 2001.-640 с.
3. Бабков В.Ф. Дорожные условия и безопасность движения. М: Транспорт, 1993. -270 с.
4. Буслаев А.П., Новиков А.В., Приходько В.М. и др. Вероятности и имитационные подходы к оптимизации автодорожного движения/ Под. редакцией Коран В.М. М.: Транспорт, 2005. -344 с.
5. Салимов С.А., Автомобиль транспорти хизматлари бозорида фаолият кўрсатувчи транспорт воситаларининг таҳлили//ТАЙИ хабарномаси. №3-4, 2011 й. Б-148.;
6. Бутаев, Ш. А., Мирзааҳмедов, Б. М., Жўраев, М. Н., Дўрмонов, А. Ш., & Баҳодиров, Б. (2009). Ташиш жараёнларини моделлаштириш ва оптималлаштириш. Тошкент: ФАН, 268.
7. Zokirkhan Yusufkhonov, Malik Ravshanov, Akmal Kamolov, and Elmira Kamalova. Improving the position of the logistics performance index of Uzbekistan. E3S Web of Conferences 264, 05028 (2021), CONMECHYDRO – 2021. https://doi.org/10.1051/e3sconf/202126405028
8. Yusufkhonov, Zokirkhan Yusufkhan Ugli, Ahmedov, Dilmurod Toshpulat Ugli, Khusanov, Laziz Erkinovich, & Masodiqov, Shokhjakhon Ulugbekovich (2021). TOPICAL ISSUES OF IMPROVING THE QUALITY OF ROAD TRANSPORT IN THE REPUBLIC OF UZBEKISTAN. Oriental renaissance: Innovative, educational, natural and social sciences, 1 (7), 108-117.
9. Саматов Г.А. Инновационное развитие автомобильного транспорта. – Т.: «Ўзбекистон Миллий энциклопедияси» Давлат илмий нашриёти, 2011.– 256с.;
10. Қаххоров А.Ж., “Ўзбекистон автомобиль транспортт тизимида инновацион маркетинг фаолиятини такомиллаштириш” мавзусидаги 08.00.11 - Маркетинг ихтисослилиги бўйича иқтисодиёт фанлари бўйича фалсафа доктори илмий даражасини имий даражасини олиш учун ёзилган автореферати.-Т., 2018.-21 б.
11.  Urakov A.X., Mamatkulov M. Impact of microclimate in exploiting highways // Transport Problems 2019. Proceedings. XI International Scientific Conference. VIII International Symposium of Young researchers. Under the honorary patronage of mayor of Katowice city and rector of Silesian university of technology. 712-715 p 
12. Shermukhamedov A.A., Kuziev A.U. Solution of the problem of optimal distribution of cargo flows in the region and the development of its transport network/ International Journal of Mechanical and Production Engineering Research and Development (IJMPERD) ISSN (P): 2249–6890; ISSN (E): 2249–8001 Vol. 10, Issue 3, Jun 2020, 11337-11348.
13. Qodirov, T. U. U., Yusufxonov, Z. Y. O. G. L., & Sharapova, S. R. Q. (2021). O‘ZBEKISTONDA TRANSPORT-LOGISTIKA KLASTERLARI FAOLIYATINI TAKOMILLASHTIRISH. Oriental renaissance: Innovative, educational, natural and social sciences, 1(6), 305-312.
14. Кодиров, Т. У., Юсуфхонов, З. Ю. У., & Ахмедов, Д. Т. У. (2021). АНАЛИЗ ФАКТОРОВ, ВЛИЯЮЩИХ НА РЕЙТИНГ ИНДЕКСА ЭФФЕКТИВНОСТИ ЛОГИСТИКИ РЕСПУБЛИКИ УЗБЕКИСТАН. Oriental renaissance: Innovative, educational, natural and social sciences, 1(6), 245-252.