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 The Effects of ITS Application in Speed Management on State Road From Mali Pozarevac to Kragujevac

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Tomislav Petrović ◽  
Miloš Milosavljević ◽  
Milan Božović ◽  
Danislav Drašković ◽  
Milija Radović
Keyword(s):  
Traffic Safety ◽  
Traffic Management ◽  
Quality Data ◽  
Transport Systems ◽  
Speed Limit ◽  
Accident Risk ◽  
The Road ◽  
Road Users ◽  
Speed Management ◽  
On The Road

The application of intelligent transport systems (hereinafter ITSs) on roads enables continuous monitoring of road users during a whole year with the aim to collect good-quality data based on which the more complex analyses could be done, such as monitoring of certain traffic safety indicators. Automatic traffic counters are one of the most commonly implemented ITSs for collecting traffic flow parameters that are relevant for traffic management on state roads in Republic of Serbia. This paper presents one of the possible ways to collect, analyze and present data on road users’ speeds using automatic traffic counters, where certain traffic safety indicators are analyzed in terms of road users’ compliance with the speed limit on the road section from Mali Pozarevac to Kragujevac. Based on the analyses of data downloaded from automatic traffic counters, it is observed that an extremely high percentage of vehicles drive at speed higher than the speed limit, indicating clearly to higher traffic accident risk, as well as to the need for a tendency to implement speed management on roads using ITS in the forthcoming period.

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 WEATHER AND TRAFFIC MONITORING SYSTEM IoT-Based TOWARDS JAMBI SMART CITY

2021 ◽  
Vol 4 (1) ◽  
pp. 129-132
Author(s):  
Imti Tsalil Amri ◽  
Santoso Santoso ◽  
Teuku Djauhari ◽  
Brestina Gultom
Keyword(s):  
Success Rate ◽  
Monitoring System ◽  
Smart City ◽  
Research Method ◽  
Traffic Monitoring ◽  
Traffic Jam ◽  
The Road ◽  
Descriptive Research ◽  
On The Road

With the large number of vehicles on the road today, we often get stuck in a traffic jam on our way to a place. And the temperature or the weather that often changes sometimes also causes us to get stuck in a weather. Thus both these problems was made a journal WEATHER AND TRAFFIC MONITORING SYSTEM IoT-BASED TOWARDS JAMBI SMART CITY. This research uses descriptive research method. This method uses action techniques that focus on implementing actions with the aim of improving quality or solving problems in a group of objects and observing the success rate or impact of their actions.

The Role of Smart City Solutions on the Road to Smart Territories

2020 ◽  
pp. 1-18
Author(s):  
Mücella Ates
Keyword(s):  
Urban Planning ◽  
Information And Communication Technologies ◽  
Smart City ◽  
Information Technologies ◽  
Climatic Data ◽  
The Road ◽  
Information And Communication ◽  
Urban Problems ◽  
On The Road ◽  
Effective Use

The concept of a smart city has emerged with the help of developing technologies against population growth, increasing urbanization rates, and rapidly depleting resources. The integration of information and communication technologies, which are the basis of the concept of a smart city, with the urban planning processes and effective use of region-specific resources are essential for the sustainability of cities. The creation of the Smart Territories, which will be the lead of smart, sustainable cities, is also directly linked to such intelligent solutions to urban problems and smart citizens. Because it is vital to be a self-sufficient structure that does urban planning by considering climatic data and develops solutions with data mining within the framework of local needs, the importance of solving the priority urban problems such as environmental management, efficient use of resources, and sustainable urban transportation with the help of rapidly developing information technologies should be emphasized on the road to smart territories.

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 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 AUTOMATIC EXTRACTION OF ROAD CENTERLINES AND EDGE LINES FROM AERIAL IMAGES VIA CNN-BASED REGRESSION

2020 ◽  
Vol V-2-2020 ◽  
pp. 925-932
Author(s):  
Y. Wei ◽  
X. Hu ◽  
M. Zhang ◽  
Y. Xu
Keyword(s):  
Road Network ◽  
Aerial Images ◽  
Automatic Extraction ◽  
Tensor Voting ◽  
Road Extraction ◽  
The Road ◽  
Road Width ◽  
Road Intersections ◽  
On The Road ◽  
Segmentation Problem

Abstract. Extracting roads from aerial images is a challenging task in the field of remote sensing. Most approaches formulate road extraction as a segmentation problem and use thinning and edge detection to obtain road centerlines and edge lines, which could produce spurs around the extracted centerlines/edge lines. In this study, a novel regression-based method is proposed to extract road centerlines and edge lines directly from aerial images. The method consists of three major steps. First, an end-to-end regression network based on CNN is trained to predict confidence maps for road centerlines and estimate road width. Then, after the CNN predicts the confidence map, non-maximum suppression and road tracking are applied to extract accurate road centerlines and construct road topology. Meanwhile, Road edge lines are generated based on the road width estimated by the CNN. Finally, in order to improve the connectivity of extracted road network, tensor voting is applied to detect road intersections and the detected intersections are used as guidance for the overcome of discontinuities. The experiments conducted on the SpaceNet and DeepGlobe datasets show that our approach achieves better performance than other methods.

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 Traffic Management of the Congested Urban-suburban Arterial Roads

2019 ◽  
Author(s):  
András Szele ◽  
Lajos Kisgyörgy
Keyword(s):  
Traffic Management ◽  
Road Network ◽  
Infrastructure Development ◽  
Passenger Cars ◽  
The Road ◽  
Network Operation ◽  
On The Road ◽  
The Right ◽  
Traffic Operation ◽  
The City

Managing the congestion is an old and legitimate claim of the cities. However, in spite of the promising solutions, the use of passenger cars outside the city centers did not decrease. The still hot topic requires a real solution.The goal of the traffic planning and management was to serve the traffic demands but with the increase in traffic, infrastructure development could not keep up, so this goal - theoretically - is not valid anymore. We are in the midst of a paradigm shift: the old goals are obviously not working, but new goals and the tools needed to achieve them have not yet been developed.According to the presented research, the operation of urban-suburban rush hour congestion radically differs from the way we have assumed so far, so a new framework was developed that describes this traffic operation. This framework allows us to look for new and valid management solutions and set new strategic and operational goals. In this paper, it is proposed not to build infrastructure for traffic demands, but to adapt the traffic demands to the infrastructure, by creating the optimal saturated traffic flow. This will prevent negative traffic dynamics and impacts on the network and provide higher quality and a more reliable road network operation. The research results have led us to theoretical questions such as the right of the limitation of the free routing on the road network.

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.

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