The idea of using intelligent transport systems and coordination of traffic lights

2014 ◽  
Vol 29 ◽  
pp. 107-112
Author(s):  
M. Ziemska
2021 ◽  
Vol 13 (5) ◽  
pp. 2935
Author(s):  
Natalia Drop ◽  
Daria Garlińska

Using intelligent transport systems in cities is gaining popularity. The fundamental aim of their existence is to improve safety and traffic flow and prevent congestion in city centres. All people moving around the city, such as public transport passengers, as well as truck and emergency vehicle drivers and drivers of passenger vehicles, are users of intelligent transport systems. Research which was carried out for the article entirely concerns functioning and utility of intelligent transport systems from truck drivers’ experience. The main aim of the research was to evaluate services and tools within intelligent transport systems in European cities which are visited by Polish truck drivers. Our research indicates that most drivers (almost 98%) stated that they find intelligent transport systems useful and 92.5% of interviewed pointed that intelligent transport systems help with their everyday work duties. Of all the tools in the survey drivers agreed that variable content signs, accommodative traffic lights, and extra road illumination have most influence in road safety. Identifying the most useful and helpful tools of intelligent transport systems will allow to define their preferred development directions from truck drivers’ point of view.


2018 ◽  
Vol 19 (6) ◽  
pp. 1200-1204
Author(s):  
Radosław Klusek

By making changes in the regulations on road signs there should be specified a date for which the road manager should adapt an existing signs. The existing rules significantly changed the rules for the use of road signs. Some of these modifications concerned the traffic lights. According with that document these changes should be made up to 31 December 2008. As seen in Polish cities, not all managements have managed to adjust the traffic lights to the new rules. The following article presents results of analyzes to adapt 45 traffic lights to the current rules. Those traffic lights were redesigned to create Intelligent Transport Systems in Bydgoszcz.


Author(s):  
Nouha Rida ◽  
Mohammed Ouadoud ◽  
Abderrahim Hasbi

Road congestion has become one of the major problems of urban cities due to the growth in the number of vehicles and the limitation of road infrastructure. The consequences of this congestion can be seen through a difficult movement of vehicles, an increase in CO2 emissions, increasing energy consumption, and stress for drivers. Intelligent Transport Systems (ITS) based on wireless sensor networks (WSN) have emerged with new solutions and application potentials in the context of the Intelligent city.  In this article, we study an approach of using a wireless sensor network to control the traffic lights of several intersections and optimize their performance by reducing the average waiting time of users. the proposed adaptive traffic light controller determines the traffic lights sequence in real time based on the current traffic situation at the local intersection, the expected arrivals and the degree of congestion at destination intersections. To evaluate our approach, we construct an intersection network of twenty-four intersections with high traffic intensity using the SUMO simulator, the results of the simulation demonstrate the efficiency and practicality of the proposed algorithm.


Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3087 ◽  
Author(s):  
Łukasz Kuźmiński ◽  
Piotr Maśloch ◽  
Marek Bazan ◽  
Tomasz Janiczek ◽  
Krzysztof Halawa ◽  
...  

Congestion extends the time of the journey for both people and goods. Therefore, transport solutions should be optimized. Management scientists and technical scientists worked together in order to develop a proprietary solution to increase efficiency in terms of productivity improvements for intelligent transport systems. The most fundamental functions of management have been paired with a detailed analysis of city traffic. The authors developed a method for determining the order of vehicles at traffic lights and connected it with vehicle-to-vehicle communication and GPS signals. As a result, a novel method to increase the throughput of intersections is presented. This solution generates a sound signal in order to inform the driver that the preceding car has started moving forward. The proposed solution leads to the shortening of the reaction time of the drivers waiting in a queue. This situation is most common at red lights. Consequently, the traffic simulation shows that the discharge of queues at traffic lights may be quicker by up to 13.5%. Notably, that proposed solution does not require any modification of the infrastructure as well as any additional devices for vehicle-to-infrastructure communication at the road intersections. To conclude, proper implementation of the proposed solution will certainly contribute to efficiency improvements within intelligent transport systems, with the potential to reduce traffic jams.


2018 ◽  
Vol 2018 (4) ◽  
pp. 1-10
Author(s):  
Emilia Skupień ◽  
Mateusz Rydlewski

Traffic management in a city, even assisted by intelligent transport systems, is a very complex process. Analyzing a single intersection may not produce the intended effect or even contribute to a deterioration from the initial state. The most important element of introducing changes should be traffic monitoring. The article presents the influence of traffic lights on the functioning of public transport, on the example of Kosciuszko Square in Wroclaw. Presented proposals were preceded by several hours of traffic observations, some of the results were presented at this paper. The article proposes changes to streamline public transport within the square.


2018 ◽  
Vol 19 (4) ◽  
pp. 7-9
Author(s):  
Adam Molecki

Intelligent Transport Systems tools and equipment are built still not very often out of cities. It seems, that simple accommodation on traffic lights is the higher level of ITS there. This situation will evolve in the near future. What is important, dynamic developing of intelligent priority systems does not have to be limited only to cities or urban areas.


2019 ◽  
Vol 70 (3) ◽  
pp. 214-224
Author(s):  
Bui Ngoc Dung ◽  
Manh Dzung Lai ◽  
Tran Vu Hieu ◽  
Nguyen Binh T. H.

Video surveillance is emerging research field of intelligent transport systems. This paper presents some techniques which use machine learning and computer vision in vehicles detection and tracking. Firstly the machine learning approaches using Haar-like features and Ada-Boost algorithm for vehicle detection are presented. Secondly approaches to detect vehicles using the background subtraction method based on Gaussian Mixture Model and to track vehicles using optical flow and multiple Kalman filters were given. The method takes advantages of distinguish and tracking multiple vehicles individually. The experimental results demonstrate high accurately of the method.


2020 ◽  
Vol 70 (3) ◽  
pp. 64-71
Author(s):  
A.S. BODROV ◽  
◽  
M.V. KULEV ◽  
D.S. DEVYATINA ◽  
O.A. LOBYNTSEVA ◽  
...  

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