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.

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.

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 Automatic traffic light controller for emergency vehicle using peripheral interface controller

2019 ◽  
Vol 9 (3) ◽  
pp. 1788 ◽  
Author(s):  
Norlezah Hashim ◽  
Fakrulradzi Idris ◽  
Ahmad Fauzan Kadmin ◽  
Siti Suhaila Jaapar Sidek
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Emergency Situation ◽  
Light Signal ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Light Area ◽  
On The Road

Traffic lights play such important role in traffic management to control the traffic on the road. Situation at traffic light area is getting worse especially in the event of emergency cases. During traffic congestion, it is difficult for emergency vehicle to cross the road which involves many junctions. This situation leads to unsafe conditions which may cause accident. An Automatic Traffic Light Controller for Emergency Vehicle is designed and developed to help emergency vehicle crossing the road at traffic light junction during emergency situation. This project used Peripheral Interface Controller (PIC) to program a priority-based traffic light controller for emergency vehicle. During emergency cases, emergency vehicle like ambulance can trigger the traffic light signal to change from red to green in order to make clearance for its path automatically. Using Radio Frequency (RF) the traffic light operation will turn back to normal when the ambulance finishes crossing the road. Result showed the design is capable to response within the range of 55 meters. This project was successfully designed, implemented and tested.

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 RANCANG BANGUN PROTOTYPE SISTEM PENDETEKSI PELANGGARAN PADA ZEBRA CROSS DI LAMPU LALU LINTAS BERBASIS ARDUINO

Foristek ◽  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Uswatun Hasanah ◽  
Mery Subito ◽  
Muhammad Aristo Indrajaya
Keyword(s):  
Response Speed ◽  
Average Response ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Laser Sensors ◽  
Road Users ◽  
Traffic Violations ◽  
Road Intersections ◽  
On The Road

Current road users cannot be separated from the number of violators, therefore traffic lights are made to regulate traffic on the road. At traffic lights, there is also a zebra crossing which serves as a means of crossing the road for pedestrians. To minimize violations at road intersections, researchers designed a tool to detect traffic violations. Traffic violation detection tool is made in prototype form using a control system with Arduino nano and software. This traffic light system uses LDR and laser sensors to detect these violations by cutting the laser which sends light to the LDR. This tool is also equipped with a webcam camera that functions to photograph violations that occur and a buzzer that functions as a warning to officers and riders in the event of a violation with an average response speed of the webcam of 2.37 seconds and the average response speed of the buzzer is 0.4 seconds. . The snapshot from the webcam is saved automatically on your PC / Laptop.

Identification of Risk Factors for Collisions Involving Cyclists Based on Gdansk Example

2017 ◽  
Author(s):  
Romanika Okraszewska ◽  
Kazimierz Jamroz ◽  
Marek Bauer ◽  
Krystian Birr ◽  
Anna Gobis
Keyword(s):  
Risk Factors ◽  
Traffic Management ◽  
Weather Conditions ◽  
Traffic Light ◽  
The Road ◽  
Road Users ◽  
Organizational Type ◽  
Road Speed ◽  
External Conditions ◽  
On The Road

The role of pedestrian and bicycle traffic in Poland has growing trend. The comprehensive traffic study, conducted in Gdansk in 2016, has confirmed the increase in the number of cyclists and their share in the modal split. Therefore, it is particularly important to ensure the safety of this group of unprotected road users. Only in 2015 on the roads of Gdansk occurred 93 accidents (excluding collisions) involving cyclists. As a result, 101 people were injured, including nine seriously and 3 people killed. The study aim was to identify risk factors for collisions involving cyclists based on data of accidents reported to the police. The following factors were analysed: the conditions for the drivers on the road (speed limits of, surface conditions), conditions for cyclists (cycling infrastructure, traffic management), external conditions (time of the year, time of the day, weather conditions), conditions organizational (type of intersection, traffic light) as well as the social aspects – the behaviour of all users.

Velocity Optimization of Pure Electric Vehicles with Traffic Dynamics and Driving Safety Considerations

2021 ◽  
Vol 2 (1) ◽  
pp. 1-24
Author(s):  
Liuwang Kang ◽  
Ankur Sarker ◽  
Haiying Shen
Keyword(s):  
Energy Consumption ◽  
Electric Vehicles ◽  
Optimization Methods ◽  
Driving Safety ◽  
Traffic Light ◽  
Optimal Velocity ◽  
Traffic Lights ◽  
Optimization System ◽  
The Road ◽  
On The Road

As Electric Vehicles (EVs) become increasingly popular, their battery-related problems (e.g., short driving range and heavy battery weight) must be resolved as soon as possible. Velocity optimization of EVs to minimize energy consumption in driving is an effective alternative to handle these problems. However, previous velocity optimization methods assume that vehicles will pass through traffic lights immediately at green traffic signals. Actually, a vehicle may still experience a delay to pass a green traffic light due to a vehicle waiting queue in front of the traffic light. Also, as velocity optimization is for individual vehicles, previous methods cannot avoid rear-end collisions. That is, a vehicle following its optimal velocity profile may experience rear-end collisions with its frontal vehicle on the road. In this article, for the first time, we propose a velocity optimization system that enables EVs to immediately pass green traffic lights without delay and to avoid rear-end collisions to ensure driving safety when EVs follow optimal velocity profiles on the road. We collected real driving data on road sections of US-25 highway (with two driving lanes in each direction and relatively low traffic volume) to conduct extensive trace-driven simulation studies. Results show that our velocity optimization system reduces energy consumption by up to 17.5% compared with real driving patterns without increasing trip time. Also, it helps EVs to avoid possible collisions compared with existing collision avoidance methods.

scholarly journals DETERMINATION OF TRAFFIC FLOWS PARAMETERS ON THE MANAGEMENT NETWORK

2020 ◽  
Author(s):  
Nataliia Semchenko ◽  
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Traffic Management ◽  
Traffic Flows ◽  
The Road ◽  
Specific Intensity ◽  
Traffic Flow Management ◽  
On The Road ◽  
Basic Characteristics

The work is devoted to the actual problem of determining the parameters of dense traffic flows on the road cities network, which can be used when introducing automated traffic control systems. The subject of the study is to determine the parameters of traffic flows in the central part of the city. The purpose of the work is to develop methods for determining the parameters of traffic flows of the street and road network on the basis of empirical and analytical modeling to reduce the number of peripheral measuring devices in the automated traffic control system. Methodology. In the given thesis there was solved the applied scientific problem of short-term operational forecasting of the traffic flow intensity on the transport network using the empirical-analytical approach, in which the measurement of traffic flow parameters at the entrances to the area of traffic flow management is carried out by transport detectors, internal local objects are determined by modeling. The proposed model is based on the determination of intensities at approaches to stop lines of internal crossroads of the management area using recurrent sequences. Experimental researches of traffic flows on the network and on the crossings were carried out using video filming during periods of maximum load. A comparative analysis of the simulation results with the experimental data showed that the relative error on a network with an area of 50-60 hectares does not exceed 3%, which indicates the adequacy of the model and the possibility of using it for management tasks. Practical implications. Implementation of the empirical-analytical method in automated traffic management systems will make it possible to reduce the number of detectors by 43-46% depending on the area of traffic management and obtain a sufficient economic effect. The regularities of the movement of dense traffic flows of high specific intensity on short hauls, typical for the central parts of cities, have been investigated. Value/originality. According to experimental results there were obtained approximating models of parameters of the logarithmic normal probabilistic law of time intervals distribution in dense traffic flows, the specific intensity of which exceeds 600 vph; the changes in basic characteristics of the vehicles group in the traffic flow when driving through the road crossing taking into account its intensity and the distance from the group forming object are determined.

scholarly journals Analysis of transport delays in the central part of the city and ways to reduce them

2022 ◽  
Vol 14 (2) ◽  
pp. 131-139
Author(s):  
Igor Khitrov ◽  
◽  
Mykhailo Krystopchuk ◽  
Oleg Tson ◽  
Oleg Pochuzhevskiy ◽  
...  
Keyword(s):  
Traffic Management ◽  
Road Network ◽  
Transport Infrastructure ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Transport Services ◽  
Traffic Delays ◽  
The Impact ◽  
The City

The main task in ensuring the appropriate level of organization of traffic on the street and road network of cities is to minimize traffic delays, increase traffic safety, provide transport and pedestrian communication between the planning elements of the city. Problems caused by the deterioration of the street and road network significantly affect the work of the entire transport complex of the city. Significant traffic delays, congestion, characterized by increased travel time, deterioration of transport services, increased pollution of urban environment due to increased emissions and noise, increasing the number of road accidents indicate the inconsistency of the road network of cities to the modern level of motorization. To ensure the required capacity of the elements of the road network, there is a need to create appropriate road conditions, namely the construction of new and reconstruction of existing engineering structures and elements of streets and roads. However, addressing these issues may not always improve the performance of the entire network, as, in parallel with technical measures based on the construction and reconstruction of transport infrastructure, the application of effective traffic management measures to manage traffic in urban areas should be addressed streets. When creating conditions for optimizing the operation of regulated intersections, it is necessary to take into account the technical condition of vehicles, road conditions and the condition of the road surface. One of the main tasks of any traffic organization is to increase the capacity of intersections and reduce vehicle delays, ie the passage of traffic lights with minimal delay. To solve the problem of congestion of the street and road network of the city is to increase the efficiency and use of coordinated management of traffic and pedestrian flows, improving the operation of traffic lights. To implement the introduction of coordinated traffic light regulation, or the so-called green wave, it is necessary to establish the intensity and composition of traffic flows, the capacity of the elements of the road network and the modes of operation of traffic light facilities. The paper considers the results of the study of the impact of coordinated traffic management in the central part of Rivne on reducing traffic delays when passing intersections by vehicles and proposed technical solutions to improve road safety by equipping intersections with additional technical means of traffic control.

scholarly journals Justification of traffic signaling modes at intersections considering the priority of public transport

2021 ◽  
Vol 2021 (1) ◽  
pp. 13-24
Author(s):  
Ivan Pasnak ◽  
◽  
Artur Renkas ◽  
Keyword(s):  
Urban Space ◽  
Public Transport ◽  
Traffic Management ◽  
Road Network ◽  
Negative Impact ◽  
Signalized Intersections ◽  
Light Cycle ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road

With the growth of the road transport fleet and increase of urban agglomerations, the availability of private transport on the streets of cities with a population over 500 thousand inhabitants is quite noticeable. The previously developed general plans of such settlements, in modern realities, are impossible to implement both from a financial point of view and in terms of the urban space organization. Given the impossibility of meeting the needs of private car users, public transport comes first in the priorities of urban mobility. Problematic areas of the road network in many western Ukrainian cities are those that are densely populated. In such cases, it is not always possible to redesign elements of street sections or intersections, so the traffic management improvement is limited to organizational measures. Among them, the most popular and least expensive are the change the modes of light control at intersections. Considering modern opportunities, technical means and scientific achievements, the capacity of signalized intersections is high. The same applies to the principles of giving priority to public transport over time (at signalized intersections). At present, a significant number of methods and algorithms for detecting and heading the movement of public transport at traffic lights have been developed, however, the criteria for the application of each of them are not fully understood. As a result of the conducted research, the change of queues in front of stop-lines at intersections depending on types of signalization is defined. The results showed that the existing type of control creates significant traffic delays on secondary streets. As a result, it is proposed to use adaptive control, which provides for the adjustment of the traffic light cycle in the presence of tram traffic. Using traffic simulation tools, it became possible to choose different modes of traffic lights control at intersections, which can provide public transport priority, while minimizing the negative impact on the adjacent elements of the road network.

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