scholarly journals FUNCTIONING OF THE CAR PARKING PLACES NEAR HOUSES: FORMULATION OF THE PROBLEM OF THE ROAD CITY NETWORK

2019 ◽  
Vol 16 (6) ◽  
pp. 670-679 ◽  
Author(s):  
I. E. Agureev ◽  
D. A. Yurchenko
Keyword(s):  
Computer Aided Design ◽  
Road Network ◽  
Transport Model ◽  
Urban Traffic ◽  
Transport Systems ◽  
Traffic Flows ◽  
Residential Areas ◽  
The Road ◽  
Network Loading ◽  
On The Road

Introduction. The load models of the road network make it possible to understand a lot of the transport, social, environmental, and other city problems. Creating transport models requires knowledge of the traffic flows’ formation and functioning. The paper formulates a goal and poses tasks for the research conducting of the adjoining territories of residential areas in Tula as one of the urban traffic flows’ sources and of the identifying patterns of the parking places near houses’ influence on the road network loading.Materials and methods. The basis of the research was the development in the field of predictive simulation of automobile transport systems. The authors used complex of computer-aided design “TransNet”, which allowed adjusting the initial data in the base model by the results of the parking places’ functioning.Discussion and conclusions. As a result, the improved transport model of Tula allows making the forecast for determining the main parameters of the transport system taking into account the dynamics of vehicles’ local area departure at different time intervals. Moreover, the proposed methodological tools and algorithm for solving the problem of the road network loading in a quasi-dynamic setting helps to solve existing transport problems and to improve the traffic organization.The authors have read and approved the final manuscript. Financial transparency: the authors have no financial interest in the presented materials or methods. There is no conflict of interest.

scholarly journals With Geospatial in Path of Smart City

2015 ◽  
Vol XL-7/W3 ◽  
pp. 1381-1387 ◽  
Author(s):  
A. S. Homainejad
Keyword(s):  
Information And Communication Technologies ◽  
Smart City ◽  
Traffic Management ◽  
Road Network ◽  
Aerial Images ◽  
Transport Systems ◽  
City Management ◽  
Traffic Jam ◽  
The Road ◽  
On The Road

With growth of urbanisation, there is a requirement for using the leverage of smart city in city management. The core of smart city is Information and Communication Technologies (ICT), and one of its elements is smart transport which includes sustainable transport and Intelligent Transport Systems (ITS). Cities and especially megacities are facing urgent transport challenge in traffic management. Geospatial can provide reliable tools for monitoring and coordinating traffic. In this paper a method for monitoring and managing the ongoing traffic in roads using aerial images and CCTV will be addressed. In this method, the road network was initially extracted and geo-referenced and captured in a 3D model. The aim is to detect and geo-referenced any vehicles on the road from images in order to assess the density and the volume of vehicles on the roads. If a traffic jam was recognised from the images, an alternative route would be suggested for easing the traffic jam. In a separate test, a road network was replicated in the computer and a simulated traffic was implemented in order to assess the traffic management during a pick time using this method.

scholarly journals MODELLING TRAFFIC FLOWS USING GRAPH THEORY

2010 ◽  
Vol 2 (6) ◽  
pp. 86-89
Author(s):  
Oksana Musyt ◽  
Oksana Nadtochij ◽  
Aleksandr Stepanchiuk ◽  
Andrej Beljatynskij
Keyword(s):  
Graph Theory ◽  
Network Optimization ◽  
Road Network ◽  
Traffic Accidents ◽  
Road Transport ◽  
Traffic Flows ◽  
Urban Road ◽  
The Road ◽  
Traffic Jams ◽  
On The Road

An intensive increase in road transport, particularly individual, in recent years has led to such consequences as increased time spent on travel, the number of forced stops, traffic accidents, the occurrence of traffic jams on the road network, reducing traffic speed and a deteriorated urban road network in cities. The most effective method for solving these problems is the use of graph theory, the main characteristics of which is reliability, durability and accessibility of a free as well as loaded network. Based on their analysis the methods for network optimization are proposed.

scholarly journals OPTIMIZATION OF MANAGEMENT OF URBAN LIGHTS WITH THE USE OF NEURAL NETWORKS

THE BULLETIN ◽  
2021 ◽  
Vol 389 (1) ◽  
pp. 14-17
Author(s):  
A.А. Suleimen ◽  
G.B. Kashaganova ◽  
G.B. Issayeva ◽  
B.R. Absatarova ◽  
M.C. Ibraev
Keyword(s):  
Neural Networks ◽  
Mathematical Model ◽  
Traffic Management ◽  
Urban Traffic ◽  
Control Parameters ◽  
Traffic Flows ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
On The Road

One of the most pressing problems of large cities is the problem of traffic management of vehicles. The reason for this problem is an imperfect way to manage traffic flows. Traffic light regulation is of particular importance in traffic management. Most modern traffic light control systems operate at set time intervals and are not able to cope with the constantly changing situation on the road. A promising direction for solving this problem is to optimize the system using artificial neural networks. The advantage of neural networks is self-learning, which allows the system to adapt to the changing situation on the road. Despite numerous attempts, it has not yet been possible to obtain a high-quality mathematical model of urban traffic management. This model should determine the functional dependence of transport flow parameters on control parameters. Nowadays, traffic flows are regulated everywhere by means of traffic lights. If we can get a fairly accurate mathematical model of traffic flows, we can determine the optimal duration of the traffic signal phases to achieve the maximum capacity of the road network node. A fairly accurate mathematical model of traffic management that works in predictive mode will display an estimate of the optimal control parameters, as well as make correct decisions in emergency situations. Well-known mathematical models of road traffic take into account only the average values of traffic flows, and not the exact number of cars on each road section at a particular time.

Benefits from Constructing a Dam Across the Vistula in Siarzewo in Terms of Transport and Environmental Protection

2017 ◽  
Author(s):  
Jan Kempa ◽  
Jacek Chmielewski ◽  
Grzegorz Bebyn
Keyword(s):  
Environmental Impact ◽  
Road Network ◽  
Transport Model ◽  
Investment Project ◽  
Dam Construction ◽  
Transport Activity ◽  
The Road ◽  
Traffic Conditions ◽  
On The Road

This paper presents the results of analyses that concern the benefits from the planned construction of a dam across the Vistula in Siarzewo. The simulated transport model developed in the VISUM environment has been used to determine the forecast traffic intensity, the value of traffic volume indices, transport activity, travel times of drivers and passengers as well as the costs of environmental impact. The above-mentioned characteristics have enabled to determine savings both in terms of traffic costs and environmental impacts resulting from the dam construction. The paper indicates that the implementation of the investment project improves traffic conditions on the road network and reduces the transport environmental impact in Kujawsko-Pomorskie Province. Moreover, it has been found that the revealed effects concern in particular the first years after the launch of the project. The development of the road network diminishes the role of the analysed investment project significantly.

MATHEMATICAL MODELING OF TRAFFIC FLOWS ON THE ROAD NETWORK CITY

2016 ◽  
Vol 3 (1) ◽  
pp. 236-240
Author(s):  
Кадасев ◽  
D. Kadasev ◽  
Коротнев ◽  
V. Korotnev
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Transport Process ◽  
Road Network ◽  
Practical Method ◽  
Traffic Flows ◽  
The Road ◽  
Time Distance ◽  
On The Road ◽  
The Mathematical Model

This article describes a practical method of constructing mathematical models of traffic flow, the most suitable for a particular city highway. The initial data are: instant speed, time, distance, flux density, intensity of movement of vehicles. Using the obtained data, built regression model, and conducted correlation analysis. The choice of the mathematical model that most faithfully describes the transport process was made on the basis of the correlation coefficient

scholarly journals Transient-based automatic incident detection method for intelligent transport systems

2021 ◽  
Vol 13 (2) ◽  
pp. 2-13
Author(s):  
Attila M. Nagy ◽  
Bernát Wiandt ◽  
Vilmos Simon
Keyword(s):  
Road Network ◽  
Detection Method ◽  
Transport Systems ◽  
Incident Detection ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
The Road ◽  
Big Cities ◽  
On The Road ◽  
The City

One of the major problems of traffic in big cities today is the occurrence of congestion phenomena on the road network, which has several serious effects not only on the lives of drivers, but also on city inhabitants. In order to deal with these phenomena, it is essential to have an in-depth understanding of the processes that lead to the occurrence of congestion and its spilling over into contiguous areas of the city.

scholarly journals Automating Road Traffic Monitoring Using Computer Vision

2021 ◽  
Vol 18 (6) ◽  
pp. 74-87
Author(s):  
I. A. Chebykin
Keyword(s):  
Computer Vision ◽  
Monitoring System ◽  
Road Network ◽  
Road Traffic ◽  
Traffic Monitoring ◽  
Transport Systems ◽  
Automation System ◽  
Traffic Flows ◽  
The Road ◽  
Advantages And Disadvantages

The objective of the article is to describe application of computer vision and artificial intelligence technologies for solving the problems of road infrastructure design.The article evaluates the traditional methods of quantitative and qualitative analysis of traffic flows in terms of labour intensity and accuracy using the method of comparative analysis, the advantages and disadvantages of the considered methods are indicated. A new method of traffic flow analysis using unmanned aerial vehicles and computer vision technology based on convolutional neural networks is proposed. The considered method makes it possible to fully automate collection and analysis of data on traffic flows. The article describes the first application of the proposed method when performing transport and economic surveys within the framework of the design of «Northern bypass of the city of Perm». The advantages of the applied method in relation to the traditional ones are described. To implement this project, software was developed for analysing traffic flows using video materials.Further, traffic monitoring is considered, its goals and objectives are described, the necessary functionality of the road traffic monitoring automation system is indicated, the traffic parameters that it should determine are listed. The methodology for implementation of an automated traffic monitoring system based on video materials on a section of the road is considered.A presented project of a traffic monitoring system makes it possible to extend the previously considered approach to the entire road network. Technologies are described that make it possible to implement this system based on video analytics of materials from CCTV cameras. A method for vehicle re-identification is proposed, and the implementation of this method is demonstrated. The method allows building a correspondence matrix of vehicles recorded by CCTV cameras located on different segments of the road network, as well as determining all traffic parameters for the entire street and road network.The conclusions outline the prospects for development of the developed software in terms of application in intelligent transport systems.

scholarly journals Simulation of Traffic Flows on the Road Network of Urban Area

2016 ◽  
Vol 134 ◽  
pp. 153-156 ◽  
Author(s):  
Evgeniya Ugnenko ◽  
Elena Uzhvieva ◽  
Yelizaveta Voronova
Keyword(s):  
Urban Area ◽  
Road Network ◽  
Traffic Flows ◽  
The Road ◽  
On The Road

TAntNet-4

2020 ◽  
pp. 874-905
Author(s):  
Ayman M. Ghazy ◽  
Hesham A. Hefny
Keyword(s):  
Road Network ◽  
High Performance ◽  
Routing Algorithm ◽  
Dynamic Routing ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
The Road ◽  
Traffic Routing ◽  
On The Road

Traffic Routing System (TRS) is one of the most important intelligent transport systems which is used to direct vehicles to good routes and reduce congestion on the road network. The performance of TRS mainly depends on a dynamic routing algorithm due to the dynamic nature of traffic on road network. AntNet algorithm is a routing algorithm inspired from the foraging behavior of ants. TAntNet is a family of dynamic routing algorithms that uses a threshold travel time to enhance the performance of AntNet algorithm when applied to traffic road networks. TAntNet-1 and TAntNet-2 adopt different techniques for path update to fast direct to the discovered good route and conserve on this good route. TAntNet-3 has been recently proposed by inspiring the scout behavior of bees to avoid the bad effect of forward ants that take bad routes. This chapter presents a new member in TAntNet family of algorithms called TAntNet-4 that uses two scouts instead of one compared with TAntNet-2. The new algorithm also saves the discovered route of each of the two scouts to use the best of them by the corresponding backward ant. The experimental results ensure the high performance of TAntNet-4 compared with AntNet, other members of TAntNet family.

scholarly journals Analysing urban traffic volumes and mapping noise emissions in Rome (Italy) in the context of containment measures for the COVID-19 disease

Noise Mapping ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 114-122 ◽  
Author(s):  
Francesco Aletta ◽  
Stefano Brinchi ◽  
Stefano Carrese ◽  
Andrea Gemma ◽  
Claudia Guattari ◽  
...  
Keyword(s):  
Road Network ◽  
Simulation Analysis ◽  
Noise Pollution ◽  
Urban Traffic ◽  
Noise Emission ◽  
The Road ◽  
Traffic Volumes ◽  
Containment Measures ◽  
On The Road ◽  
The Impact

AbstractThis study presents the result of a traffic simulation analysis based on Floating Car Data and a noise emission assessment to show the impact of mobility restriction for COVID-19 containment on urban vehicular traffic and road noise pollution on the road network of Rome, Italy. The adoption of strong and severe measures to contain the spreading of Coronavirus during March-April 2020 generated a significant reduction in private vehicle trips in the city of Rome (-64.6% during the lockdown). Traffic volumes, obtained through a simulation approach, were used as input parameters for a noise emission assessment conducted using the CNOSSOS-EU method, and an overall noise emissions reduction on the entire road network was found, even if its extent varied between road types.

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