LIGHT REGULATION SYSTEMS IMPROVEMENT ANALYSIS TO FORECAST THE TRANSPORT FLOWS IN ALMATY

2021 ◽  
Vol 116 (1) ◽  
pp. 299-304
Author(s):  
Assel Aliyadynovna Sailau
Keyword(s):  
Environmental Pollution ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Light Regulation ◽  
Transport Network ◽  
Traffic Flows ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Transport Telematics

The number of vehicles on the roads of Almaty, Kazakhstan is growing from year to year. This brings about an increasing intensity and density of traffic flows in the streets which leads to congestion, decreasing speed of the traffic flow, increasing environmental pollution caused by car emissions, and which can potentially lead to the road traffic accidents (RTA), including fatalities. While the number of injuries grows up mainly due to drivers’ non-compliance with the speed limit, the environmental pollution is caused by longer traffic jams. Therefore, to reduce the level of road traffic injuries and emissions into the environment it is necessary to ensure the uniform movement of traffic flows in cities. Currently, one of the effective ways to do it is the use of transport telematics systems, in particular, control systems for road signs, road boards and traffic lights. The paper presents an analysis of existing systems and methods of traffic light regulation. The  analyses of the systems and methods are based on the use of homogeneous data, that is the data on standard parameters of traffic flows. The need in collecting and analyzing additional semi-structured data on the factors that have a significant impact on the traffic flows parameters in cities is shown as well. The work is dedicated to solving the problem of analysis and forecast of traffic flows in the city of Almaty, Kazakhstan. GPS data on the location of individual vehicles is used as the initial data for solving this problem. By projecting the obtained information onto the graph of the city's transport network, as well as using additional filtering, it is possible to obtain an estimate of individual parameters of traffic flows. These parameters are used for short-term forecast of the changes in the city's transport network.

scholarly journals PROGRAM OF LIGHT-FORMAT REGULATION ON THE BASIS OF CONTROLLED NETWORKS AND THE SATURATIONS’ FLOW: BASIC PRINCIPLES OF CALCULATION

2019 ◽  
Vol 16 (6) ◽  
pp. 680-691 ◽  
Author(s):  
A. N. Novikov ◽  
S. V. Eremin ◽  
A. G. Shevtsova
Keyword(s):  
Traffic Management ◽  
Optimization Problems ◽  
Light Regulation ◽  
Control Technique ◽  
Traffic Flows ◽  
Traffic Light ◽  
Two Phase ◽  
Traffic Lights ◽  
The Road ◽  
On The Road

Introduction. The paper deals with traffic light regulation. This task is always relevant. Thus, even for an ordinary intersection, depending on the intensity of traffic flows, the control cycles should differ significantly. This paper discusses all kinds of systems, namely, two-phase, three-phase, four-phase and others. In addition to solving optimization problems of regulation the authors propose to use the device managed network, which allows setting the configuration of the transport network as the base graph of the managed network, and then based on the parameterization of the graph of the throughput ability of the network to solve the optimization problem of selecting the control traffic and pedestrian flow.Methods and materials. For solving the problem of traffic management on the road network, the authors proposed to use the mechanisms of managed networks. As a result, the authors presented a technique based on the calculation of saturation flows, the main characteristic of the control technique, which was activated when there were no requests from the transport detectors to turn by the green signal.Results. The authors constructed a generalized simulation model of control phases of regulation based on the usage of controlled networks, depending on the intensity of traffic flows and formed a method of selecting modes of traffic lights for different traffic situations.Discussion and conclusions. The solution of the problem of traffic light regulation significantly affects the traffic management efficiency. The authors determine the main parameters based on the analysis of traffic light control methods. As a result of the calculation of the saturation flow and information about the intensity of traffic, the authors form the method of selecting the necessary modes of the phosphor object’s operation.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.

The role of driver reliability in road safety

2020 ◽  
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Research Work ◽  
Traffic Lights ◽  
The Road ◽  
Road Signs ◽  
Psychophysiological State ◽  
Road Data

The driver of an automobile is the key part of the “driver–car–road–environment” system, the stable functioning of which determines the efficiency and safety of road traffic. The driver as the operator of the “driver –car–road–environment” system receives most of the information from the road, data from moving and standing objects, road signs, traffic lights, surface conditions and traffic conditions. An analysis of most traffic accidents shows that the weakest part of the “driver–car–road–environment" system, restricting its effectiveness and dependability, is the person. To ensure the necessary dependability and safety, the driver of any vehicle must be careful. This is supported by an appropriate psychophysiological state, which, in turn, depends on many factors. The article presents an analysis of research work taking into account the influence of various factors on the dependability of a vehicle driver. Means and methods of research are described. Recommendations are given on creating a stand for studying the influence of the psychophysiological state of the driver on road safety. Keywords Driver dependability; road traffic; automobile; traffic environment; road accidents; road safety

scholarly journals Ant Colony Optimization for Real Time Traffic Lights Control on a Single Intersection

2020 ◽  
Vol 14 (02) ◽  
pp. 196 ◽  
Author(s):  
Nouha Rida ◽  
Mohammed Ouadoud ◽  
Aberrahim Hasbi
Keyword(s):  
Road Traffic ◽  
Green Light ◽  
Optimal Solution ◽  
Ant Colony ◽  
Traffic Data ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Real Time Traffic ◽  
On The Road

In this paper, we present a new scheme to intelligently control the cycles and phases of traffic lights by exploiting the road traffic data collected by a wireless sensor network installed on the road. The traffic light controller determines the next phase of traffic lights by applying the Ant Colony Optimazation metaheuristics to the information collected by WSN. The objective of this system is to find an optimal solution that gives the best possible results in terms of reducing the waiting time of vehicles and maximizing the flow crossing the intersection during the green light. The results of simulations by the SUMO traffic simulator confirm the preference of the developed algorithm over the predefined time controller and other dynamic controllers.

scholarly journals Opportunities to improve road traffic on short-length road connections by correlating intersection traffic lights

2022 ◽  
Vol 960 (1) ◽  
pp. 012020
Author(s):  
A Boroiu ◽  
E Neagu ◽  
A A Boroiu
Keyword(s):  
Road Traffic ◽  
Central Area ◽  
Green Light ◽  
Traffic Light ◽  
City Center ◽  
Traffic Lights ◽  
The Road ◽  
Micro Simulation ◽  
Road Intersections ◽  
The City

Abstract The paper aims to explore the possibilities of improving road traffic in the central area of cities characterized by a longitudinal arrangement of the street network, with application for the case of Pitesti, where the road network in the central area consists of two main roads arranged longitudinally, having one-way regulated traffic, interconnected by several streets. A special traffic problem is reported in the city center: on the main road connecting the two boulevards, the vehicle storage space is insufficient - because the distance between the two road intersections is too small and there is no correlation between the Green phases of traffic lights in the two intersections. The research, based on traffic measurements performed with DataFromSky software and micro-simulation traffic analyses performed with Vissim PTV software, indicated that the best solution is the partial or total correlation of the green time from the traffic light intersections that delimit the connecting road artery. As, almost exclusively, the works dedicated to the correlation of green light of traffic lights treat the problem only along the road arteries, this paper raises a special issue and reveals the possibility of simple solutions, by correlating the traffic lights at the intersections connecting the main arteries.

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.

scholarly journals Using Probe Vehicle Data for Automatic Extraction of Road Traffic Parameters

2016 ◽  
Vol 12 (4) ◽  
pp. 36-45
Author(s):  
Maria Alexandra Roman Popescu
Keyword(s):  
Waiting Time ◽  
Road Traffic ◽  
Smart Cities ◽  
Road Transportation ◽  
Traffic Light ◽  
Time Dynamic ◽  
Horizon 2020 ◽  
National Network ◽  
Traffic Lights ◽  
The Road

Abstract Through this paper the author aims to study and find solutions for automatic detection of traffic light position and for automatic calculation of the waiting time at traffic light. The first objective serves mainly the road transportation field, mainly because it removes the need for collaboration with local authorities to establish a national network of traffic lights. The second objective is important not only for companies which are providing navigation solutions, but especially for authorities, institutions, companies operating in road traffic management systems. Real-time dynamic determination of traffic queue length and of waiting time at traffic lights allow the creation of dynamic systems, intelligent and flexible, adapted to actual traffic conditions, and not to generic, theoretical models. Thus, cities can approach the Smart City concept by boosting, efficienting and greening the road transport, promoted in Europe through the Horizon 2020, Smart Cities, Urban Mobility initiative.

scholarly journals DETERMINATION OF THE CONDITIONS FOR THE APPLICATION OF THE F. WEBSTER FORMULA FOR DETERMINING THE TRANSPORT DELAY AT A CIRCULAR INTERSECTION WITH TRAFFIC LIGHT REGULATION AND A CUT-THROUGH CENTRAL ISLAND

2021 ◽  
pp. 76-86
Author(s):  
Yu.Ya. Komarov ◽  
◽  
S.V. Ganzin ◽  
D.D. Silchenkov ◽  
◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Road Network ◽  
Road Traffic ◽  
High Reliability ◽  
Calculated Data ◽  
Light Regulation ◽  
Traffic Light ◽  
Software Complex ◽  
Transport Delay ◽  
The Road

The main method of determining transport delay in the national methodical and educational literature is its calculation according to the methodology (formula) of F. Webster (1958), which is based on the theory of mass service. However, in conditions of high traffic congestion or traffic congestion, experimental and calculated data at simple intersections vary considerably. The definition of delays for complex intersections, in particular for the Hamburger Through-About Intersection (further HTAI) is also contradictory. The aim of the study is to improve determine the area of application of F. Webster’s formula for a little-studied roundabouts HTAI. For the first time, the paper addresses the selection of parameters of the HTAI in urban settings, and also introduces a method of calculating transport delays depending on various factors. For the purpose of the study, the hypothesis is put forward that the application of the Webster formula depends on the intensity of traffic on the main and secondary roads, the degree of loading in directions and transport demand for left-turning traffic. According to the hypothesis, on the basis of the collected data, transport delays are calculated on the HTAI from the selected factors. To justify the adequacy of calculations, the method of simulation in the Aimsun (micro-modeling) software complex is used. On the basis of in-kind surveys of section of the road network, a high-reliability simulation model was created, reflecting the current situation at regulated intersection, and also assessed the feasibility of using the HTAI on a section of the road network. There are dependencies of transport delays on traffic in the main and secondary road, effective duration of the cycle of regulation on the main road, traffic on roundabout, the diameter of the islet for the HTAI. Thus, based on the resulting mathematical model, the range of application of the Webster formula is defined, which is affected by the number of lanes for the main and secondary roads, the degree of loading in directions and the number of lanes on the ring. Further research involves the development of a methodology for calculating the parameters of the HTAI.

Simulation of a problem section of the street-road network to increase road safety

2021 ◽  
pp. 30-35
Author(s):  
Keyword(s):  
Simulation Modeling ◽  
Road Safety ◽  
Road Network ◽  
Road Traffic ◽  
Light Regulation ◽  
Transport Systems ◽  
Infrastructure Management ◽  
Traffic Light ◽  
Road Infrastructure ◽  
Traffic Lights

The article is devoted to the issue of increasing the level of road safety (RTS), a road infrastructure management system using simulation modeling is proposed. The aim of the study is to develop a simulation model of a problematic section of the road network (UDS) in the city of Elabuga, to select the optimal parameters for the functioning of traffic lights, which will improve the quality of road infrastructure management, while reducing the risk of occurrence and the severity of a road traffic accident (RTA). The analysis of research in the field of traffic management is carried out, methods are considered that allow assessing the risk of accidents, as well as methods for reducing the severity of the consequences of road accidents. Keywords: intelligent transport systems, road safety, traffic light regulation, simulation modeling

scholarly journals Semiotic Interpretation of the Traffic Light System: A Way to Influence Road Accidents

2021 ◽  
pp. 121-140
Author(s):  
Santiago Osnaya Baltierra
Keyword(s):  
Urban Space ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Green Light ◽  
Light Change ◽  
Traffic Light ◽  
Transition Diagram ◽  
The Road ◽  
Light System ◽  
Transport Services

This work is part of a larger research that involves the science of semiotics in order to study road infrastructure (road devices) in road crossings, using the theoretical contributions of Ferdinand de Saussure, Umberto Eco and Charles Sanders Peirce, with the purpose to support the safe mobility of citizens. Pedestrians use the roads for work, study, recreation, and other activities of daily living providing a harmonious and safe way for people to move either on foot, by car, bicycle, public or private transport services. One of these road devices is the traffic light system used to control road traffic at an intersection or road junction. This system's optimal and safe operation is related to the infrastructure of the urban space, which results in safe or unsafe mobility for pedestrians. In this sense, the semiotic interpretation of the state transition diagram for a traffic light system (green-amber-red / red-amber-green light change) is being proposed to recognize whether the road may be a dangerous place for users. The research aims to propose an improvement in pedestrians' conditions to reduce traffic accidents in the most conflictive and dangerous road intersections. These places were determined by the Secretaría de Salud (2012) and disclosed in its Second Report on the Situation of Road Safety in Mexico City.

Analysis of Vehicle–Pedestrian Interactive Behaviors near Unsignalized Crosswalk

2021 ◽  
pp. 036119812199906
Author(s):  
Byeongjoon Noh ◽  
Dongho Ka ◽  
David Lee ◽  
Hwasoo Yeo
Keyword(s):  
South Korea ◽  
Traffic Accidents ◽  
Road Traffic ◽  
The Road ◽  
Video Footage ◽  
Premature Deaths ◽  
Vehicle Velocity ◽  
Behavioral Features ◽  
Velocity Changes ◽  
On The Road

Road traffic accidents are a leading cause of premature deaths and globally pose a severe threat to human lives. In particular, pedestrians crossing the road present a major cause of vehicle–pedestrian accidents in South Korea, but we lack dense behavioral data to understand the risk they face. This paper proposes a new analytical system for potential pedestrian risk scenes based on video footage obtained by road security cameras already deployed at unsignalized crosswalks. The system can automatically extract the behavioral features of vehicles and pedestrians, affecting the likelihood of potentially dangerous situations after detecting them in individual objects. With these features, we can analyze the movement patterns of vehicles and pedestrians at individual sites, and understand where potential traffic risk scenes occur frequently. Experiments were conducted on four selected behavioral features: vehicle velocity, pedestrian position, vehicle–pedestrian distance, and vehicle–crosswalk distance. Then, to show how they can be useful for monitoring the traffic behaviors on the road, the features are visualized and interpreted to show how they may or may not contribute to potential pedestrian risks at these crosswalks: (i) by analyzing vehicle velocity changes near the crosswalk when there are no pedestrians present; and (ii) analyzing vehicle velocities by vehicle–pedestrian distances when pedestrians are on the crosswalk. The feasibility of the proposed system is validated by applying the system to multiple unsignalized crosswalks in Osan city, South Korea.

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