Optimization of “green wave” mode to ensure priority of fixed-route public transport

Goryaev, Nikolay; Myachkov, Kirill; Larin, Oleg

doi:10.1016/j.trpro.2018.12.072

Cited by 7 publications

(1 citation statement)

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“…It should be noted that many researchers call the comprehensive study of the existing road network [18,23] as the basis for improving road traffic. The most effective approach, in their opinion, is precisely the reconstruction of the geometry of the existing network (changing the number of lanes, building fences and road signs) and optimizing the work of traffic lights based on the study of traffic intensity on a specific object [12,13]. Thus, if it is impossible to reduce the intensity of the movement of road transport, it is necessary to adopt such engineering and organizational measures that will help reduce the time of movement of road users.…”

Section: Study Of Emissions Proposed Solutionmentioning

confidence: 99%

Safety Features of the Transport System in the Transition to Industry 4.0

Makarova

Shubenkova

Buyvol

et al. 2019

The Archives of Automotive Engineering – Archiwum Motoryzacji

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World trends in the field of intellectualization and digitalization of all activity spheres, caused by the rapid growth of engineering and technology, have caused serious changes in the transport sector. Road transport has a negative impact on the environment, to a large extent this relates to city’s air pollution in urbanization conditions and the vehicle fleet accelerated growth. Reducing the negative vehicles impact on the environment is possible only through the development of integrated solutions for managing the transport system. Goal of this article is to study the applicability of decision support systems and simulation models to predict the possibility of reducing the negative vehicles impact on the environment. The developed simulation models for road network problem areas of the Naberezhnye Chelny city allow us to study the influence of traffic parameters on the volume of harmful substances in vehicles exhaust gases, as well as noise pollution. Using the model, it is also possible to assess the possible reduction in the degree of air pollution when converting engines public transport to natural gas fuel. Model experiments showed the adequacy of the proposed approach.

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