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 ◽  

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.

2022 ◽  
Vol 14 (2) ◽  
pp. 131-139
Author(s):  
Igor Khitrov ◽  
◽  
Mykhailo Krystopchuk ◽  
Oleg Tson ◽  
Oleg Pochuzhevskiy ◽  
...  

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.


2019 ◽  
Vol 8 (6) ◽  
Author(s):  
Polina A. Buyvol ◽  
Gulnara A. Yakupova ◽  
Irina V. Makarova

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


Author(s):  
Norlezah Hashim ◽  
Fakrulradzi Idris ◽  
Ahmad Fauzan Kadmin ◽  
Siti Suhaila Jaapar Sidek

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.


2020 ◽  
Vol 4 (01) ◽  
pp. 56-65
Author(s):  
Hayati Mukti Asih

Yogyakarta has increasing trends in the number of vehicles and consequently intensifying the traffic volume and will effect to higher emission and air pollution. Traffic lights duration plays a vital role in congestion mitigation in the critical intersections of urban areas. This study has objective to minimize the number of vehicles waiting in line by developing the hybrid simulation method. First of all, the MKJI and Webster method were calculated to determine the green traffic light. Then, the simulation model was developed to evaluate the number of vehicles waiting in line according to different duration of green traffic lights from MKJI and Webster method. A case study will then be provided in Pelemgurih intersection located in Yogyakarta, Indonesia for demonstrating the applicability of the developed method. The result shows that the duration of green traffic lights calculated by Webster method provides lower number of vehicles waiting in line. It is due to the short duration of green traffic light resulted by Webster method so that the traffic light cycle becomes shorter and it effects the number of vehicles waiting in line which is lower than MKJI method. The results obtained can help the generating desired decision alternatives that will important for Department of Transportation, Indonesia to enhance the road traffic management with low number of vehicles waiting in line.


2019 ◽  
Vol 18 (1) ◽  
pp. 47-54
Author(s):  
D. V. Kapskiy ◽  
D. V. Navoy ◽  
P. A. Pegin

The paper considers issues pertaining to creation of a model for controlling road traffic with the purpose to minimize delays on street and road network, which is proposed as an innovative one while developing an intelligent transport system of the large city that is Minsk. The developed model has a complex structure of algorithmic support. The first-level model has been implemented on the basis of fuzzy logic, for which a program has been developed and conditions have been determined, and operation of traffic light at a real local intersection of Minsk, which is included in the automated traffic management system, has been simulated. Innovation in the first-level model is an approach in determining conditions while detecting a fuzzy set without using a standard algorithm that is an algorithm of local flexible regulation. The paper proposes and investigates a model that works on the basis of operationally obtained parameters of traffic flow intensity at characteristic points (sections) of street and road network. Efficiency of the first-level model has been equal to 8 % due to optimization of a traffic light cycle (reduction of transport delays during passage of stop lines). Results of the simulation using the proposed computer program have made it possible to improve efficiency of traffic management on the studied highway (Logoysky trakt) in Minsk city of Minsk by 15 % due to decrease of delay level in case of unilateral coordination. The algorithm has been already implemented as part of the current automated traffic management system in the city of Minsk and it has shown its efficiency. However this efficiency can be increased if it is used together with an algorithm for searching maximum volume of motion in a cycle with a distributed intensity pulse. It has been planned to take into account this specific feature when increasing possibilities for algorithmization of traffic management.


KS Tubun Street is a street in Bogor, which has a fairly high vehicle volume and become one of a high-traffic jam area. This is caused by KS Tubun Street is the main road for road users from Jakarta and Bogor. Traffic jam problem that occurs due to the confluence interchange of traffic flow and traffic lights settings that are not proportional to the volume of vehicles across the road. Optimization of traffic flow at KS Tubun Street performed by the stages of forming a model of traffic flow, determining the density and velocity of the vehicle is based on the Greenberg model, and determining the length of the traffic lights to avoid a buildup of vehicles. The result is a traffic flow model with distance and time parameters. The density of vehicles that occurs on the streets of KS. Tubun street based on the Greenberg model between 180 to 240 unit car of passanger (ucp) with the average velocity of vehicles 15 to 19.5 km per hour. The density of vehicles on KS. Tubun street can be break down by increasing time. Traffic light cycle time can be reduced for 8 seconds with the red light glowing time is 80 seconds and the green light glowing time is 62 seconds.


Author(s):  
Mustapha Kabrane ◽  
Salah-ddine Krit ◽  
Lahoucine El Maimouni

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


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


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

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.


2021 ◽  
Vol 18 (4) ◽  
pp. 148-155
Author(s):  
S. V. Vitolin

The objective of the article is to develop a system of principles and methods aimed at improving management of transport flows on the street and road network of a large city with traffic lights regulation. The suggested methodology is based on the methods used in Russia and abroad to improve road traffic safety and quality, results of a survey of experts in the field of road design and traffic management, monitoring at regulated crossings, and analysis of road accidents in the city of Volgograd. The primary customer property of a regulated crossing is road safety. Elimination of causes of road traffic accidents associated with road traffic, structural geometric, signalling, and technical conditions is the most important task regarding a regulated crossing. Enhancing road traffic quality at low levels of network load supposed considering demand for transportation, increase in travel comfort, coordination, and flexibility of traffic lights operation. High degree of network load supposes that more attention is paid to traffic capacity of the street and road network elements, restrained access of vehicles to areas of greater congestion, increased duration of a green light cycle (for more than 120 seconds, if this does not affect traffic safety and network congestion degree).


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