scholarly journals ROAD CRACK DETECTION USING GAUSSIAN/PREWITT FILTER

Author(s):  
S. A. Fakhri ◽  
S. A. Fakhri ◽  
M. Saadatseresht

Abstract. Crack is one of the main problems of roads that can reduce the quality of the road or put it in danger in terms of safety. These cracks are needed to be identified first in order to be investigated and followed up. So detecting cracks is one of the most important parts of the road maintenance procedures, which has been considered in recent years. On the other hand, traditional manual methods of crack detection are very time-consuming and dangerous. It is timely because human resources must have thorough and accurate road visits and examine their qualitative status. For this reason, the automatic methods are utilized instead of these methods to increase the speed and reliability of the crack analysis in intelligent transport systems. A simple method is used in this research to detect the crack. Based on the proposed method, a softening filter is applied first on the image to reduce the noise, and then an edge detection filter is applied to the image. Generally, the noise still exists in the image after applying these filters. A window is used here that scans all the image and calculates the average standard deviation for all the pixels in each window, and removes the noise by considering a range. Then the process of removing noise is done with more stringency by reducing the search window in each iteration. Finally, this method was compared with one of the most prominent and modern methods of detecting cracks using a random forest method and the results indicated that despite the simplicity and the speed of the existing method in this study, it has an acceptable performance compared to the manual and random forest methods.

2019 ◽  
Vol 83 ◽  
pp. 51-62
Author(s):  
Małgorzata Kędzior-Laskowska

The article presents the results of research regarding the impact of technical and technological innovations on the quality of services in road transport of goods. The study was conducted using a structured questionnaire survey on a sample of134 road transport companies. Respondents were managers and business owners. 7 factors, which potentially determined the quality of services, were assessed by the respondents. The data analysis used the arithmetic mean and the dominant, which formed the basis for determining the importance of a given factor for the quality of services. The variability analysis provided information about the variation of the sample. The results of the research proved the influence of innovation on quality. The highest-ranked factors supporting the quality ofroad transport services were intelligent transport systems, the ability to minform the customer about the actual location of the shipment (delivery time) and systems supporting the work of a professional driver. The article also identified selected innovations and attempts were made to determine their importance in the development of the quality of services and the effects of their functioning on the road transport system.


Author(s):  
Ronald Schroeter ◽  
Alessandro Soro ◽  
Andry Rakotonirainy

Intelligent Transport Systems (ITS) encompass sensing technologies, wireless communication, and intelligent algorithms, and resemble the infrastructure for ubiquitous computing in the car. This chapter borrows from social media, locative media, mobile technologies, and urban informatics research to explore three classes of ITS applications in which human behavior plays a more pivotal role. Applications for enhancing self-awareness could positively influence driver behavior, both in real-time and over time. Additionally, tools capable of supporting our social awareness while driving could change our attitude towards others and make it easier and safer to share the road. Lastly, a better urban awareness in and outside the car improves our understanding of the road infrastructure as a whole. As a case study, the authors discuss emotion recognition (emotions such as aggressiveness and anger are a major contributing factor to car crashes) and a suitable basis and first step towards further exploring the three levels of awareness, self-, social-, and urban-awareness, in the context of driving on roads.


2021 ◽  
Vol 6 (166) ◽  
pp. 130-133
Author(s):  
H. Sarkisian ◽  
V. Tymoshevskyi ◽  
S. Urdzik

Most of the transport and operational indicators that directly affect the road roughness depend on the roughness of coverage. Therefore, the control and timely monitoring of the road roughness is an extremely important issue that needs the attention of road maintenance services. At monitoring of the road roughness it is most expedient to use a technique of leveling of a covering. The method of leveling the coating provides more detailed information about the coating and allows you to determine the smallest deformations on the road coating, which may be at the first stage of their development, especially at that stage of their development, and show roughness and various parameters. One of the main tasks of measurements in the process of performing geodetic works is not only to obtain the measurement result, but also to assess its reliability. The required quality of instrumental measurement can not be achieved without adhering to the principles of unity and the required accuracy of measurements, so much attention should be paid to the metrological support of geodetic works. The purpose of this article is to analyze the metrological support of geodetic works in determining the pavement roughness and substantiation of the required accuracy of measuring the non-rigid pavement roughness. On the basis of dependences for determining the coefficient of dynamic load on pavement and the correlation between the pavement roughness and the coefficient of dynamic load and on the basis of experimental data, the necessary accuracy of measuring the non-rigid pavement roughness is substantiated. Based on the analysis, it was found that the accuracy of determining the height of the irregularities should not exceed 0.5 mm, for which it is necessary to use optical or electron-optical levels.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Khaddouj Taifi ◽  
Naima Taifi ◽  
Es-said Azougaghe ◽  
Said Safi

Automatic detection and monitoring of the condition of cracks in the road surface are essential elements to ensure road safety and quality of service. A crack detection method based on wavelet transforms (2D-DWT) and Jerman enhancement filter is used. This paper presents different contributions corresponding to the three phases of the proposed system. The first phase presents the contrast enhancement technique to improve the quality of roads surface image. The second phase proposes an effective detection algorithm using discrete wavelet (2D-DWT) with “db8” and two-level sub-band decomposition. Finally, in the third phase, the Jerman enhancement filter is usually used with different parameters of the control response uniformity “ τ ” to enhance for cracks detection. The experimental results in this article provide very powerful results and the comparisons with five existing methods show the effectiveness of the proposed technique to validate the recognition of surface cracks.


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.


2021 ◽  
Author(s):  
Adrian Broad

<p>The EU has recently adopted its new Framework Programme for Research & Innovation called Horizon Europe (HE) with a budget of 95 billion euros over 7 years (2021-2027). It includes many fundamental and application science areas where the meteorological and climate community at large can contribute to and benefit from funding.</p> <p>The event will include an introduction by Dr. Adrian Broad (UK Met Office and EUMETNET) to the three pillars of HE, followed by more insights for our community into the most relevant clusters and connections with the important HE missions. This will include among others: climate systems and extreme weather; sustainable and intelligent transport systems in the air, on the road or seas; space weather and earth observation; renewable energy and agriculture sectors; the ocean and marine environment; heat waves and air pollution impact on health; technology and the digital economy; or safe systems for critical infrastructures. To conclude, links between HE and other relevant EU programmes will be made, focussing on Copernicus, Digital Europe and the Civil Protection Mechanism.</p>


2020 ◽  
Vol 7 (2) ◽  
Author(s):  
Igor Pugachev ◽  
Aleksey Kamenchukov ◽  
Valentin Shcheglov ◽  
Nina Smirnova

The national project “Safe and high-quality roads” is aimed at the development, creation and effective use of intelligent transport systems. Today, there are many technical solutions to improve road safety, as well as optimize the process of organizing traffic. Often, these solutions lie not only in the plane of design, in the use of technical means for organizing traffic, in reconstruction of the existing street-road network, but also in the use of intelligent transport systems. The article has developed a concept for the development of a road-road network in Khabarovsk, in connection with the adoption by the Government of the Khabarovsk Territory of a decision on the construction of a transport interchange at the intersection of Voronezh-Bolshaya Streets in Khabarovsk, as part of the national project “Safe and High-Quality Roads” in the Khabarovsk Territory. The collection and analysis of statistical data, over a five-year period, on the types of frequency of occurrence of reported road traffic accidents. Visual and grapho-analytical methods identified the focus of the concentration of traffic accidents at the considered site of the road network of the city of Khabarovsk. Based on the method of conflict points, factors that influence the accident rate of an existing section of the road are studied. Several options for improving the quality and safety of traffic are considered: changing the number of lanes, regulating the traffic light, building a multi-level traffic intersection. Using modern software systems, based on methods of mathematical modeling, for several options developed models of traffic flows, identified the maximum possible comfortable and safe traffic conditions. Substantiated recommendations are given for improving the quality and safety of road traffic by improving the existing road situation.


2019 ◽  
Vol 8 (3) ◽  
pp. 49
Author(s):  
Youness Riouali ◽  
Laila Benhlima ◽  
Slimane Bah

The tremendous increase in the urban population highlights the need for more efficient transport systems and techniques to alleviate the increasing number of the resulting traffic-associated problems. Modeling and predicting road traffic flow are a critical part of intelligent transport systems (ITSs). Therefore, their accuracy and efficiency have a direct impact on the overall functioning. In this scope, a new approach for predicting the road traffic flow is proposed that combines the Petri nets model with a dynamic estimation of intersection turning movement counts to ensure a more accurate assessment of its performance. Thus, this manuscript extends our work by introducing a new feature, namely turning movement counts, to attain a better prediction of road traffic flow. A simulation study is conducted to get a better understanding of how predictive models perform in the context of estimating turning movements.


Author(s):  
Yutaro Okamoto ◽  
◽  
Chinthaka Premachandra ◽  
Kiyotaka Kato

Automatic road obstacle detection is one of the significant problem in Intelligent Transport Systems (ITS). Many studies have been conducted for this interesting problem by using on-vehicle cameras. However, those methods still needs a dozens ofmillisecondsfor image processing. To develop the quick obstacle avoidance devices for vehicles, further computational time reduction is expected. Furthermore, regarding the applications, compact hardware is also expected for implementation. Thus, we study on computational time reduction of the road obstacle detection by using a small-type parallel image processor. Here, computational time is reduced by developing an obstacle detection algorithm which is appropriated to parallel processing concept of that hardware. According to the experimental evaluation of the new proposal, we could limit computational time for eleven milliseconds with a good obstacle detection performance.


2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Blanka Kalupová ◽  
Ivan Hlavoň

Abstract Extension of European Union causes increase of free transfer of people and goods. At the same time they raised the problems associated with the transport, e.g. congestion and related accidents on roads, air traffic delays and more. To increase the efficiency and safety of transport, the European Commission supports the introduction of intelligent transport systems and services in all transport sectors. Implementation of intelligent transport systems and services in the road transport reduces accident frequency, increases the capacity of existing infrastructure and reduces congestions. Use of toll systems provides resources needed for the construction and operation of a new road network, improves public transport, cycling transport and walking transport, and also their multimodal integration with individual car transport.


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