Method for estimating the speed of a car on a route, taking into account the evenness of the road surface

The article is devoted to the development of a method for estimating the speed of a car on a route, taking into account the evenness of the road surface. It is shown that in the Russian Federation there are significantly more uneven sections on public and Federal highways than there are flat ones. It is noted that information on the indicators of the international road evenness index is collected and used by the Federal road Agency ROSAVTODOR to improve the road safety sections of the Road safety Department. The designs of push meters are considered. Based on the analysis of statistical studies, it is shown that in Volgograd in 2008—2010, the evenness indicators on trolleybus routes exceeded the maximum permissible value by 45...94 %. The essence of the proposed method for estimating the speed of a car on the route, taking into account the evenness of the road surface, is described. It consists in using the dependence of its average technical speed on the evenness of the road surface, obtained as a result of analyzing the processing of data from long-term monitoring of the speed of cars of this type during their operation. It is shown that the method allows you to automate the process of rapid assessment of the average technical speed of cars, and the application of the method will increase the productivity of rolling stock and the profit of ATP. Keywords evaluation method, vehicle, speed, route, road surface evenness

2021 ◽  
Vol 74 (3) ◽  
pp. 35-42
Author(s):  
A.G. SHEVTSOVA ◽  

The concept of Vizion Zero is considered - a long-term program first proposed by the Swedish government, the main goal of which is to improve road safety and reads as follows: «No one should be killed or seriously injured in a traffic accident». A brief overview of the implementation of this concept in some world countries has been carried out. including the Russian Federation and identified promising national vectors for its further implementation in order to increase the level of road safety and the desire to reduce the number of accidents on the road to a minimum value.


2021 ◽  
Vol 346 ◽  
pp. 03080
Author(s):  
A. G. Shevtsova ◽  
V. V. Vasilieva ◽  
A. G. Burlutskaya ◽  
K. V. Levshina ◽  
E. M. Minaeva

Every year, tens of thousands of road traffic accidents occur on the territory of Russia, characterized by different accident rates. Some of the most common are road traffic accidents, in the place of which violations of the mandatory requirements for the operational state of highways and railway crossings have been recorded under the conditions of ensuring road safety. The condition of the asphalt concrete road surface affects the grip performance of the vehicle with the road. It is necessary to study the statistics of road traffic accidents in the constituent entities of the Russian Federation located in different road and climatic zones in order to determine the dependence and the degree of influence of the state of the road surface on the number of accidents occurring.


Author(s):  
I.V. Balabin ◽  
O.I. Balabin ◽  
I.S. Chabunin

The article presents issues related to improving safety and efficiency of operation of mobile machines in the constantly changing, winter temperature and traffic conditions. The authors develop a conceptual model of winter all-weather tires able to adapt to various road conditions such as when the road is covered with a layer of ice or compacted snow, or when the road is free from snow and ice. The use of such winter all weather tires will improve the road safety by contributing to increasing the life of tires and preserving the road network. The proposed model has no foreign analogues and is protected by a patent of the Russian Federation.


2020 ◽  
Vol 10 (3) ◽  
pp. 95-103
Author(s):  
Vladimir Pobedinskiy ◽  
Sergey Buldakov ◽  
Andrey Berstenev ◽  
Elena Anastas

The article is devoted to the problem of improving road construction technologies, in particular, technological solutions for logging roads. As you know, in road construction, the choice and justification of technological solutions for the road surface is one of the first stages of design, the efficiency of which affects further project as a whole, timing and costs of construction. The solution to such a problem is extremely difficult and, first of all, due to the many interrelated parameters, factors, as well as the uncertainties of data in the problem. The task becomes much more complicated when it is also necessary to take into account the economic indicators of road construction project. But it is in this form that it is of the greatest interest, since these characteristics are often the most important in practice. For these reasons, the problem remains completely unsolved. Therefore, requires further research, as noted, taking into account the uncertainties in the problem. Intelligent systems based on the theory of fuzzy sets, neural networks and their hybrid solutions are proposed for this class of problems, as a result of modern achievements in the field of mathematics and information technologies. Thus, the purpose of this research was to develop a neural network for evaluating technological solutions for logging roads. The result of the research was the development of an adaptive neuro-fuzzy network such as ANFIS, which allows calculating the cost of the road surface depending on the main technological and initial financial parameters. The neural network can be recommended for the design of forest roads, as well as for rapid assessment of the effectiveness of various technological solutions during competitive (tender) selection.


2018 ◽  
Vol 1 (3) ◽  
pp. 617-626
Author(s):  
Intan Wirnanda ◽  
Renni Anggraini ◽  
Muhammad Isya

Abstract: Abstract:Damage that occurs on some road segment causing huge lossed, especially for road users such as a long travel time, traffic jam, incident, and etc. In general there variety factor that caused of road damage such as age of the road that has been passed, puddle onthe road surface that cannot flow due to the poor drainage, trafic load excessively repetitive (overloaded). Which can cause life time is shorter than planning. Improper planning, poor monitoring and the implementation is not accordance with the existing plan, in addition to the lack of maintenance costs, delays in budget spending and priorities of improper handling also be the cause. It should be noted in order to avoid decreased in the quality of roads due to damage on road surface. The purpose of this study is to determined damage of the road extent/level using PCI method (Pavement Condition Index), determined the effect of road damage to the speed of vehicle using Regression Analysis method. This research take location in the road segment of Blang Bintang Lama road, and Teungku hasan Dibakoi each road is divided into 7 that being reviewed according to the level of damage. Primary data collected by field actual survey in the form of geometric data, extensive damage to the road, and vehicle speed. The results showed that damage of the road is very affected on the vehicle speed as seen on Blang Bintang Lama in V segment the value of PCI is 10 with failed condition and vehicle speed just reached 5.31 Km/h, while in VII segment PCI value is 87 with perfect road condition (excellent) vehicle speed reached to 58.34 Km/h, so that the equation obtained by regression analysis of Y = (3,571)(0,032) ͯ, while for segment in Teungku Hasan Dibakoi road as seen in III Segment PCI value is 4 with failed condition with vehicle speed just 4.95 Km/h, while in the VII segment PCI value is 88 with perfect road condition (excellent) vehicle speed reached to 68.64 Km/h, so the equation obtained by regression analysis of Y is Y= (3,822)(0,035) ͯ. This suggests that higher levels of road damage will affected to slower speed of vehicle, otherwise the lower level of damage road, will make the higher speed of vehicle.Abstrak: Kerusakan jalan yang terjadi di beberapa ruas jalan menimbulkan kerugian yang sangat besar terutama bagi pengguna jalan seperti waktu tempuh yang lama, kemacetan, kecelakaan, dan lain-lain. Secara umum penyebab kerusakan jalan ada berbagai sebab yaitu umur rencana jalan yang telah dilewati, genangan air pada permukaan jalan yang tidak dapat mengalir akibat drainase yang kurang baik, beban lalu lintas berulang yang berlebihan (overloaded) yang menyebabkan umur pakai jalan lebih pendek dari perencanaan. Perencanaan yang tidak tepat, pengawasan yang kurang baik dan pelaksanaan yang tidak sesuai dengan rencana yang ada, selain itu minimnya biaya pemeliharaan, keterlambatan pengeluaran anggaran serta prioritas penanganan yang kurang tepat juga menjadi penyebabnya. Hal ini perlu diperhatikan agar tidak terjadi penurunan kualitas jalan akibat kerusakan permukaan jalan. Tujuan penelitian ini adalah untuk menentukan tingkat dan jenis kerusakan jalan dengan menggunakan metode PCI (Pavement Condition Index), mengetahui pengaruh kerusakan jalan terhadap kecepatan kendaraan dengan menggunakan metode Analisis Regresi. Penelitian ini mengambil lokasi pada ruas Jalan Blang Bintang Lama dan ruas Jalan Teungku Hasan Dibakoi yang masing-masing jalan terbagi atas 7 segmen yang ditinjau menurut tingkat kerusakannya. Pengumpulan data primer dilakukan dengan survey aktual lapangan yaitu berupa data geometrik jalan, luas kerusakan jalan, dan kecepatan kendaraan. Hasil penelitian menunjukkan bahwa kerusakan sangat berpengaruh terhadap kecepatan kendaraan seperti yang terlihat pada ruas jalan Blang Bintang Lama pada segmen V dengan nilai PCI 10 kondisi jalan gagal (failed) dengan kecepatan kendaraan mencapai 5,37 Km/Jam, sedangkan pada segmen VII nilai PCI sebesar 87 dengan kondisi jalan sempurna (excellent) kecepatan kendaraan mencapai 58,34 Km/Jam, sehingga didapat persamaan dengan metode analisis regresi Y= (3,571)(0,032) ͯ, sedangkan untuk ruas Jalan Teungku Hasan Dibakoi terlihat pada segmen III nilai PCI 4 kondisi jalan gagal (failed) dengan kecepatan mencapai 4,95 Km/Jam, sedangkan pada segmen VII nilai PCI sebesar 88 dengan kondisi jalan sempurna (excellent) kecepatan kendaraan mencapai 68,64 Km/Jam, sehingga didapat persamaan dengan metode analisis regresi Y= (3,822)(0,035) ͯ. Hal ini menunjukkan bahwa semakin tinggi tingkat kerusakan jalan maka semakin rendah kecepatan kendaraan, sebaliknya semakin rendah tingkat kerusakan maka semakin tinggi kecepatan kendaraan.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Qiang Liu ◽  
Jianguang Xie ◽  
Zhixiang Zhang

The fuel consumption model for a vehicle forms a basis and method for evaluating the social benefit of road reconstruction. Based on the theoretical fuel consumption model of vehicles, the influence mechanism of the apparent parameters of the road surface on the fuel consumption of vehicles and their sensitivity was analysed. The baseline state was defined on the basis of the roughness, a parameter with significant influence. In addition, a method for acquiring fuel consumption parameters was proposed to establish a one-parameter relational model for the roughness and fuel consumption of vehicles in the baseline state based on measured data. Moreover, by considering the effects of the friction coefficient, deflection of the road surface, and vehicle speed on the fuel consumption, a modified model for the fuel consumption of vehicles applicable to road reconstruction was established. Finally, a method for measuring the energy-saving benefit of vehicles was proposed based on the characteristics of reconstructed roads. The research provides a basis for evaluating the social benefit acquired from reconstructed roads.


Author(s):  
Anastasia Shevtsova ◽  
Alexander Novikov

Assessing the grip of the road surface is an extremely important task both in the field of traffic management, and in the field of investigation and examination of traffic accidents. The coupling quality of the road surface is fully ensured by the grip coefficient, which is subject to constant monitoring in order to ensure road safety. There are a large number of methods for determining the magnitude of the grip coefficient. In their study, the authors propose an improved approach for determining the investigated value using the weather and climate factor. Previously, a group of researchers in the course of scientific research determined the dependence of the grip coefficient on the temperature of the road surface, as a result of mathematical analysis, the authors obtained a dependence that allows to determine the studied value by air temperature and the condition of the road surface (presence of precipitation). The performed experiment allowed us to test the obtained dependence within the framework of the object of study and to make a comparative assessment of the results obtained with the data obtained using the road laboratory.


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