Synergetic properties of the interaction of the vehicle with the element of road infrastructure in urban driving modes
Автор: Yusupov Sarvarbek S.
Журнал: Журнал Сибирского федерального университета. Серия: Техника и технологии @technologies-sfu
Рубрика: Исследования. Проектирование. Опыт эксплуатации
Статья в выпуске: 5 т.15, 2022 года.
Бесплатный доступ
In this paper, we analyzed the vehicle’s driving modes and opted for the idle mode to save fuel. The synergy of the vehicle with the traffic light depends on many factors and has been studied on the example of the information model of the “Intelligent start-stop system”. A vehicle with an “intelligent start-stop system” was saved 8.25 % of fuel during 100 km in urban conditions. In addition, emissions of harmful gases into the environment have been minimized. It was found that an average of 132 liters of fuel was saved when one vehicle traveled 20,000 km per year. Moreover, the idling time of the vehicle’s engine was characterized by a reduction of 28-32 % in 100 km of the total test distance. Also included are the concepts of order parameter and flexible parameter on the principles of synergetic by using intelligent transport systems in the local condition.
Intelligent transport system, intelligent start-stop system, infrastructure, traffic light, drive mode, synergetic, order and flexible parameters
Короткий адрес: https://sciup.org/146282502
IDR: 146282502 | DOI: 10.17516/1999-494X-0420
Список литературы Synergetic properties of the interaction of the vehicle with the element of road infrastructure in urban driving modes
- Azizov K. X. Fundamentals of traffic safety. Textbook. T.: "Yozuvchi" publishing house. 2002, 182.
- McQueen B., McQueen J. Intelligent Transportation Systems Architectures. London. 1999, 487.
- Nowacki G. Development and Standardization of Intelligent Transport Systems. Transnav International Journal on Marine Navigation and Safety of Sea Transportation. 2012, 403-411.
- Kabashkin I. V. Intelligent transport systems: integration of global technologies of the future. Transport of the Russian Federation. 2010, 2(27), 34.
- Shaheen S. A., Finson R. Intelligent Transportation Systems. Encyclopedia of Energy. 2004, 487-496.
- Katerna O. Intelligent transport system: the problem of definition and formation of classification system. Economic analysis. Ukraine. 2019, 2(29), 33-43.
- Debelov V. V., Kozlovsky V. N., Pyanov M. A. Electrical and software complex for controlling the internal combustion engine of a passenger car. Electrotechnical and information complexes and systems. Russia. 2015, 1(11), 73-83.
- Zhankiev S., Gavrilyuk M., Morozov D, Zabudsky A. Scientific and methodological approaches to the development of a feasibility study for intelligent transportation systems. Science Direct.Transportation Research Procedia. Moscow (MADI). 2018, 36, 841-847.
- Sembaev N. S., Stavrova N. D. Intelligent transport systems. Tutorial. Pavlodar: Kereku. 2016, 99.
- Hasegawa T. Intelligent Transport Systems. Chapter 5. Saitama University. Japan. 2004, 50-60.
- Nilesh R. Mate. Intelligent transportation systems - a literature review from Indian perspective. International journal of advanced research. India. 2016, 4(9), 1247-1253.
- Robert L. B., Christopher M. M. Benefits of Intelligent Transportation Systems Technologies in Urban Areas: A Literature Review, Portland State University "Center for Transportation Studies". 2004, 1-24.
- Sumit M. Intelligent Transportation System, International Journal of Civil Engineering Research. ISSN 2278-3652. 2014, 5(4). 367-372.
- Horinov Sh. Intelligent transport systems - constantly growing network of urban transport systems. Resaerch Gate. 2007, 2.
- Vanderschuren M. The benefits of intelligent transport systems: modelling the effects of different ITS systems. Resaerch Gate. 2003, 10.
- Parmar N., Vatukiya A., Zala M., Chauhan Sh. Intelligent Transportation System. International Journal for Scientific Research & Development. 2017, 5(09). 970-972.
- Zhang X., Liu H., Mao C., Shi J., Meng G., Wu J., et al. The intelligent engine start-stop trigger system based on the actual road running status. PLoS ONE. 2021, 16(6), 1-16.
- Razi I., Kenichi Yu. Intelligent Transportation Systems Using Short Range Wireless Technologies. Journal of Transportation Technologies. 2011, 1. 132-137.
- Stevens A., Hopkin J. Benefits and deployment opportunities for vehicle. roadside cooperative ITS. Research Gate. 2016, 1-7.
- Dahlman E., Parkvall S., Skold J.5G NR: the Next Generation Wireless Access Technology. 2018, 39-55.
- Chai K. T., Sanguesa J. A., Juan C. C. Francisco J. M. Advances in smart roads for future smart cities. Proceeding of Royal Society. 2020, 476. 24.
- Yusupov S. S., Inoyatkhodjaev J. Sh. The issues of solving environmental problems in the field of road transport using intelligent transport systems. International scientific and technical journal. Innovation Technical and Technology. 2021, 2(1). 14-20.
- Abdurazzokov U. A. Improvement of the method for estimating the energy efficiency of a truck in operating conditions. (Dissertation abstract of the doctor of philosophy (PhD) on technical sciences). T.: 2019, 54.
- Kerner B. S. Three-phase traffic theory and highway capacity. Physica A: Statistical Mechanics and Its Applications, 2004. 379-440.
- Cieslik W., Pielecha I. Effects of start-stop system on the operation of drive system in urban traffic conditions. Journal of mechanical and transport engineering. 2015, 67(2), 15-26.
- Chevrolet Nexia. Manual. - T.: "Print media" LLC publishing house. 2016, 164.
- Car fuel consumption. [Electronic resource]. https://ru.wikipedia.org/wiki/Fuel_ consumption_of_cars. (This page was last edited on February 9, 2021).
- Ziyaev K. Z. Developing regulated driving cycle by synthesis of driving mode ofthe automobile. (Dissertation abstract of the doctor of philosophy (PhD) on technical sciences). T.: 2017, 54.
- Yusupov S. S., Inoyatxodjaev J. Sh. Substantiation of theoretical aspects of the application of "Intelligent start-stop system" in the local context in the synergy of "Intelligent transport infrastructure" of intelligent transport systems. Proceedings of the international scientific-practical conference "Uzbekistan and the automotive industry: the integration of science, education and industry."Andijon. AndMI.: 2021, 163-167.
- Li L, Wang X Song J. Fuel consumption optimization for smart hybrid electric vehicle during a car-following process. Mechanical Systems and Signal Processing. 2017, 87. 17-29.
- Yusupov S. S., Inoyatkhodjaev J. Sh. Analysis of vehicle energy efficiency and test results using an intelligent start-stop system of the vehicle on the new European drive cycle at the piskent auto polygon. ACTA of Turin Polytechnic University in Tashkent. 2021, 1. 16-26.
- Yusupov S. S., Bakirov L. Yu, Inoyatkhodjaev J. Sh. Analysis of test results using an automatic start-stop system in vehicle driving modes. "XI GLOBAL SCIENCE AND INNOVATIONS 2020: CENTRAL ASIA" International scientific-practical conference. Series "Technical sciences". ISSN 2664-2271. Nur-Sultan (Astana), Kazakhstan. 2020, 3, 6(11). 55-61.