scholarly journals Traffic congestion propagation identification method in smart cities

2021 ◽  
Vol 13 (1) ◽  
pp. 45-57
Author(s):  
Attila M. Nagy ◽  
Vilmos Simon
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Road Network ◽  
Smart Cities ◽  
Network Data ◽  
Professional Literature ◽  
Large Cities ◽  
Traffic Jam ◽  
The Road ◽  
Traffic Jams

Managing the frequent traffic congestion (traffic jams) of the road networks of large cities is a major challenge for municipal traffic management organizations. In order to manage these situations, it is crucial to understand the processes that lead to congestion and propagation, because the occurrence of a traffic jam does not merely paralyze one street or road, but could spill over onto the whole vicinity (even an entire neighborhood). Solutions can be found in professional literature, but they either oversimplify the problem, or fail to provide a scalable solution. In this article, we describe a new method that not only provides an accurate road network model, but is also a scalable solution for identifying the direction of traffic congestion propagation. Our method was subjected to a detailed performance analysis, which was based on real road network data. According to testing, our method outperforms the ones that have been used to date.

Smart Cities: Study and Comparison of Traffic Light Optimization in Modern Urban Areas Using Artificial Intelligence

2018 ◽  
Vol 8 (2) ◽  
pp. 10
Author(s):  
Mustapha Kabrane ◽  
Salah-ddine Krit ◽  
Lahoucine El Maimouni
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Road Network ◽  
Smart Cities ◽  
Optimization Techniques ◽  
Traffic Light ◽  
Large Cities ◽  
Traffic Lights ◽  
The Road ◽  
Road Signs

In large cities, the increasing number of vehicles private, society, merchandise, and public transport, has led to traffic congestion. Users spend much of their time in endless traffic congestion. To solve this problem, several solutions can be envisaged. The interest is focused on the  system of road signs: The use of a road infrastructure is controlled by a traffic light controller, so it is a matter of knowing how to make the best use of the controls of this system (traffic lights) so as to make traffic more fluid. The values of the commands computed by the controller are determined by an algorithm which is ultimately, only solves a mathematical model representing the problem to be solved. The objective is to make a study and then the comparison on the optimization techniques based on artificial intelligence1 to intelligently route vehicle traffic. These techniques make it possible to minimize a certain function expressing the congestion of the road network. It can be a function, the length of the queue at intersections, the average waiting time, also the total number of vehicles waiting at the intersection

scholarly journals ВИКОРИСТАННЯ ТЕОРІЇ МАСОВОГО ОБСЛУГОВУВАННЯ ДЛЯ УДОСКОНАЛЕННЯ УПРАВЛІННЯ ДОРОЖНІМ РУХОМ НА МАГІСТРАЛЬНІЙ ВУЛИЧНО-ДОРОЖНІЙ МЕРЕЖІ МІСТ

2020 ◽  
pp. 8-12 ◽  
Author(s):  
Нагребельна Л. П. ◽  
Поліщук В. П.
Keyword(s):  
Mathematical Models ◽  
Traffic Management ◽  
Queuing Theory ◽  
Road Network ◽  
Mathematical Methods ◽  
Traffic Jam ◽  
The Road ◽  
Road Section ◽  
Management Measures ◽  
The Impact

The object of the study is the improvement of traffic management on the main street and road network of the city. Actually, there are many techniques that allow simulating the traffic flows with sufficient accuracy. One of such models is a mathematical model, which allows calculating the main characteristics of a traffic flow on the basis of a few initial data and is considered as a queuing system.Modeling allows pre-determining the impact of traffic management measures on the existing street and road network without creating interference for drivers, making changes to the design of road, increasing the traffic volume, as well as involving the possible overloaded areas.An analysis of the researches of scientists who have considered similar methods in their works had been performed. The fundamental flaw of the mentioned works is that in none of them the study of the model of a real road section was performed for verifying of the model adequacy. Modeling allows understanding more accurately the behavior of an object with less approximations than mathematical models, and provides less researching and forecasting of the system behavior with significant changes in the initial concepts. It is indicated that for the first approximation it is expedient to use mathematical models, and for clarifying the characteristics – to use non- mathematical methods, in particular, simulation.It is proved that simulation is a powerful tool for studying the behavior of real systems. It is mainly used to study situations and systems that can be described as queuing systems.Using the queuing theory, it becomes possible to perform certain calculations and determine indicators of effectiveness of the queuing system.Obtained result of the indicators will help to determine the street and road network areas where a traffic jam may form for any reason, where the road will be overloaded. This makes it possible to develop a high-quality algorithm for quick elimination of traffic jam.

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.

Organization of non-traffic jam traffic at an intersection when cycle time and roadway width are limited

2020 ◽  
Keyword(s):  
Traffic Flow ◽  
Road Safety ◽  
Traffic Management ◽  
Road Network ◽  
Traffic Light ◽  
Maximum Capacity ◽  
Traffic Jam ◽  
The Road ◽  
Traffic Management System ◽  
Stop Line

In General, two problems need to be solved in the traffic management system: road safety and capacity. In this paper, it is proposed to use a calculated way to optimize the cycle of a traffic light object in order to ensure the maximum capacity of the node of the road network. The calculation method is based to determining the optimal ratio of the number of lanes intended for vehicle traffic and the duration of a cycle of the traffic light object. Keywords capacity, street and road network, traffic flow, stop line, width of the roadway

scholarly journals Ensuring the integrity of the road network as the key to solving the problems of highway capacity in cities

2021 ◽  
Vol 34 (01) ◽  
pp. 103-111
Author(s):  
Arkady V. Zakharov ◽  
Tatiana R. Zabalueva
Keyword(s):  
Traffic Congestion ◽  
Road Network ◽  
Large City ◽  
Small Rivers ◽  
Highway Capacity ◽  
The Road ◽  
Traffic Jams ◽  
Surrounding Areas ◽  
Bridge Building ◽  
The City

Broadband highways are being built in major cities around the world to combat traffic congestion. At the same time, existing buildings are demolished or powerful overpasses are raised above them. However, it often turns out that newly created highways quickly exhaust their capacity, and traffic jams are formed on them again. This situation indicates that increasing the capacity of the highway does not solve the problem of traffic jams, but often aggravates it, since as a result of this increase, even more cars are drawn to the highway from adjacent territories, often exceeding their current capacity. At the same time, the streets in the surrounding areas are empty and their potential is not used to the full extent. This situation has arisen due to the disruption of the city road network by lengthy obstacles in the form of ravines, rivers, floodplains of small rivers, and railways. This situation can be corrected by "stitching" the streets over the gaps by building bridges and overpasses with a capacity corresponding to the capacity of the "stitched" streets. Most of the gaps fall on relatively small streets, which approach the banks of fairly wide floodplains of small rivers and streams, and this makes it advisable to build mainly small (with a span of 20-25 m) and relatively inexpensive bridges, with the number of spans sufficient to cover the floodplain and reach the levels of road surfaces of connected streets. There will be several hundred such bridges over the river barriers in a large city, for example, Moscow, and several hundred more, taking into account the required number of them over the railways, and in the end, about a thousand. It is proposed to erect bridge buildings instead of simple road bridges. Such structures combine two city functions; the first of them is transport, the second is public, residential, or economic, depending on the needs of the city and the environmental situation at the construction site. An important requirement for the second function is a quick return on the financial assets invested in the construction and income from the operation of the building acceptable to the investor. The bridge part of a bridge building should become the property of the city.

scholarly journals Efektifitas Load Balancing Dalam Mengatasi Kemacetan Lalu Lintas

Matematika ◽  
2017 ◽  
Vol 16 (2) ◽  
Author(s):  
Erwin Harahap ◽  
Andri Suryadi ◽  
R Ridwan ◽  
Deni Darmawan ◽  
Rakhmat Ceha
Keyword(s):  
Load Balancing ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Traffic Load ◽  
Traffic Jam ◽  
The Road ◽  
Road Congestion ◽  
Vehicle Loads ◽  
Alternative Routes

Abstrak. Kemacetan jalan raya merupakan permasalahan umum di setiap kota yang memerlukan penanganan serius. Pemecahan permasalahan kemacetan jalan raya tidak hanya dapat diselesaikan dengan hanya meningkatkan kualitas dan kuantitas infrastruktur, namun juga manajemen lalu lintas. Pada artikel diusulkan suatu metode untuk mengurangi kemacetan lalu lintas, yaitu dengan menyeimbangkan beban ke berbagai ruas jalan yang disebut dengan load balancing. Melalui metode ini diharapkan beban lalu lintas terbagi secara merata ke berbagai jalur alternatif sedemikian sehingga antrian panjang kendaraan dapat dihindari. Evaluasi efektifitas dari metode load balancing ini dilakukan melalui simulasi dengan mengimplementasikan salah satu bidang ilmu Matematika, yaitu teori Antrian. Simulasi dibuat dengan menggunakan toolbox SimEvents yang dijalankan pada software MATLAB.Kata Kunci: load balancing, kemacetan, lalu lintas, sim-events, matlabAbstract. (the effectiveness of load balancing in reducing the road traffic congestion) Road congestion is a common problem in any city that needs serious handling. The solution of the road congestion problems can not only be solved by simply improving the quality and quantity of infrastructure, but also the traffic management. In this article, we proposed a method to reduce the traffic congestion by balancing the vehicle loads to a various road segments, called as load balancing. Through this method, it is expected that the traffic load is evenly distributed to various alternative routes, such that, long queues and traffic jam can be avoided. Evaluation of the load balancing’s effectiveness is performed through a simulation by implementing the Queueing Theory. Simulations are created using the SimEvents toolbox that runs on MATLAB software.Keywords: load balancing, road congestion, traffic, simevents, matlab.

scholarly journals ANALYSIS OF THE CAUSES OF TRAFFIC CONGESTION IN THE CENTRAL PART OF THE ROAD NETWORK OF THE CITY OF ORENBURG

2019 ◽  
pp. 381-385
Author(s):  
A.V.Stepanova ◽  
A.B. Satyukov ◽  
S.A. Dergunov
Keyword(s):  
Urban Development ◽  
Traffic Congestion ◽  
Road Network ◽  
Traffic Flows ◽  
The Road ◽  
Traffic Jams ◽  
The City

In this article the analysis of traffic flows in the central part of the city of Orenburg is given, the most characteristic reasons of formation of traffic jams on city streets of Orenburg in particular are defined. In the overview, the ways to minimize traffic congestion in the form of a more dense analysis of the existing urban development are highlighted.

scholarly journals Road Traffic Congestion Management Based on a Search-Allocation Approach

2017 ◽  
Vol 18 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Jamal Raiyn
Keyword(s):  
Travel Time ◽  
Real Time ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Smart Cities ◽  
Self Regulation ◽  
Congestion Management ◽  
Shortest Route ◽  
Road Traffic Congestion

Abstract This paper introduces a new scheme for road traffic management in smart cities, aimed at reducing road traffic congestion. The scheme is based on a combination of searching, updating, and allocation techniques (SUA). An SUA approach is proposed to reduce the processing time for forecasting the conditions of all road sections in real-time, which is typically considerable and complex. It searches for the shortest route based on historical observations, then computes travel time forecasts based on vehicular location in real-time. Using updated information, which includes travel time forecasts and accident forecasts, the vehicle is allocated the appropriate section. The novelty of the SUA scheme lies in its updating of vehicles in every time to reduce traffic congestion. Furthermore, the SUA approach supports autonomy and management by self-regulation, which recommends its use in smart cities that support internet of things (IoT) technologies.

scholarly journals A New Approach of Smart Mobility for Heavy Goods Vehicles in Casablanca

2021 ◽  
Author(s):  
Mohammed Mouhcine Maaroufi ◽  
Laila Stour ◽  
Ali Agoumi
Keyword(s):  
Environmental Sustainability ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Smart Cities ◽  
Research Work ◽  
Transport Infrastructure ◽  
Transport Systems ◽  
Smart Mobility ◽  
Heavy Goods Vehicles

Managing mobility, both of people and goods, in cities is a thorny issue. The travel needs of urban populations are increasing and put pressure on transport infrastructure. The Moroccan cities are no exception and will struggle, in the short term, to respond to the challenges of the acceleration of the phenomenon of urbanization and the increase in demand for mobility. This will inevitably prevent them from turning into smart cities. The term smart certainly alludes to better use of technologies, but smart mobility is also defined as “a set of coordinated actions intended to improve the efficiency, effectiveness and environmental sustainability of cities” [1]. The term mobility highlights the preponderance of humans over infrastructure and vehicles. Faced with traffic congestion, the solutions currently adopted which consist of fitting out and widening the infrastructures, only encourage more trips and report the problem with more critical consequences. It is true that beyond a certain density of traffic, even Intelligent Transport Systems (ITS) are not useful. The concept of dynamic lane management or Advanced Traffic Management (ATM) opens up new perspectives. Its objective is to manage and optimize road traffic in a variable manner, in space and in time. This article is a summary of the development of a road infrastructure dedicated to Heavy Goods Vehicles (HGV), the first of its kind in Morocco. It aims to avoid the discomfort caused by trucks in the urban road network of the city of Casablanca. This research work is an opportunity to reflect on the introduction of ITS and ATM to ensure optimal use of existing infrastructure before embarking on heavy and irreversible infrastructure projects.

scholarly journals IMPROVEMENT OF THE CITY TRANSPORT SYSTEM BY MEANS OF SIMULATION

2019 ◽  
Vol 8 (6) ◽  
Author(s):  
Polina A. Buyvol ◽  
Gulnara A. Yakupova ◽  
Irina V. Makarova
Keyword(s):  
Transport System ◽  
Traffic Management ◽  
Road Network ◽  
System Analysis ◽  
Computer Experiment ◽  
Simulation Models ◽  
Traffic Lights ◽  
The Road ◽  
Transport Services ◽  
The City

The transport system plays an important role in human activities and is an integral part of the successful functioning of the urbanized area. The increasing degree of provision of urban residents with transport services should at the same time keep the environment environmentally friendly and sustainable over time. The article is devoted to the issues of ensuring the rational functioning of the city transport system based on the development and implementation of an intelligent road infrastructure management system, the intellectual core of which are simulation models of problem areas of the road network. The objective of the study is the development of tools for organizing traffic in the conditions of the rapid growth of the fleet of vehicles. Research tasks were to analyze the research in the field of traffic management, to consider methods to reduce and prevent traffic jams on roads in general and in individual sections in particular. The following research methods were used: methods of system analysis, methods of modeling traffic flows, simulation, computer experiment. Achievements: the developed simulation model can be used to conduct a computer experiment in order to select the optimal parameters for the functioning of traffic lights on a specific section of the road network of the city of Naberezhnye Chelny

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