scholarly journals Web Based Tools for Road Traffic Monitoring and Controlling System

2013 ◽  
Vol 8-9 ◽  
pp. 3-12 ◽  
Author(s):  
Camelia Avram ◽  
Adina Astilean ◽  
Radu Florin Miron

The Road Traffic Monitoring and Control System (RTMCS) presented in this paper is intended to offer support for the surveillance, control and monitoring of road networks. It integrates complex components in a modular, flexible and open structure in order to validate models that take into account real time constraints and include tools to simulate various traffic scenarios and communication technologies, WEB based virtual instrumentation, personalized user interfaces and relational data. The system can be used to change the configuration of the road map (to design new streets segments) or to visualize the results of the different traffic scenarios implying the tuning of various parameters. RTMCS also offers several advantages, one of the most important consisting of the possibility to choose different configuration and components using a web browser. An implementation variant, including suitable, promising new technologies, different maps configurations, communication devices and protocols and routing systems is presented and analyzed. A large set of experiments and the corresponding results highlight the functionality of the configurable virtual web instrument concept illustrated by the proposed system. Aspects regarding the possibility of a subsequent integration of new tools are also presented.

2020 ◽  
Vol 28 (1) ◽  
pp. 181-195
Author(s):  
Quentin Vanhaelen

: Computational approaches have been proven to be complementary tools of interest in identifying potential candidates for drug repurposing. However, although the methods developed so far offer interesting opportunities and could contribute to solving issues faced by the pharmaceutical sector, they also come with their constraints. Indeed, specific challenges ranging from data access, standardization and integration to the implementation of reliable and coherent validation methods must be addressed to allow systematic use at a larger scale. In this mini-review, we cover computational tools recently developed for addressing some of these challenges. This includes specific databases providing accessibility to a large set of curated data with standardized annotations, web-based tools integrating flexible user interfaces to perform fast computational repurposing experiments and standardized datasets specifically annotated and balanced for validating new computational drug repurposing methods. Interestingly, these new databases combined with the increasing number of information about the outcomes of drug repurposing studies can be used to perform a meta-analysis to identify key properties associated with successful drug repurposing cases. This information could further be used to design estimation methods to compute a priori assessment of the repurposing possibilities.


Author(s):  
R. N. Gorbunov ◽  

The article presents a description of approaches to evaluating the road traffic monitoring efficiency. The results of a comparative analysis of the efficiency and costs of road traffic monitoring are submitted using laboratory vehicles and geo-information data obtained from geo-information systems. Approaches to optimizing the processes of organizing traffic monitoring on the city road traffic network are proposed.


2017 ◽  
Vol 2 (16) ◽  
pp. 34-44 ◽  
Author(s):  
Emily Diehm

Although one would hope that the magic of goal writing is somehow bestowed upon each speech-language pathologist during their graduate training, or at a minimum upon graduation, pre-service speech-language pathologists, as well as practicing speech-language pathologists, report that goal writing is challenging. This difficulty experienced while writing goals may result in SLPs and other special education providers searching the internet or IEPs of other students with similar needs to find a pre-written goal to use. Unfortunately, an over-reliance on web-based or software-based goal banks is problematic, as these resources still contain poorly written goals that are not measurable and vague and may ultimately decrease the individualization of the goal and treatment to a student's specific needs. Because goals are the “road map” for a student's speech-language intervention, it is not surprising that researchers have hypothesized, and more recently observed, that poorly written IEPs goals are negatively related to growth and progress in the curriculum. The purpose of this article is to remind SLPs of the importance of writing goals that are relevant to the findings of assessments, aligned to state academic standards, contain specific and measurable outcomes, and encourage growth in the skills needed to have academic success.


Author(s):  
H. S. Mohana ◽  
M. Ashwathakumar

Traffic congestion and violation of traffic rules are very common in most of the road transport system. Continuous monitoring is becoming difficult. To improve the quality of road transport monitoring and control, the best possible alternative is machine vision. In this review, several works by researchers on traffic analysis are detailed, studied and reviewed critically for the purpose. Further, an attempt is made to classify the different road traffic analysis approaches available in the literature. Classification is based on principle used, algorithm adopted, techniques used, technology behind and other special considerations of the researchers.


Author(s):  
Silviu Folea ◽  
Mihai Hulea ◽  
Camelia Avram ◽  
Adina Astilean

The system presented in this chapter is mainly destined to offer support and to monitor chronic and elderly patients. In accordance with the new tendencies in the field, it integrates innovative components for data acquisition systems, Web-based virtual instrumentation, personalized user interfaces, and relational data in a complex, modular, flexible, and opened structure. Compared with other similar integrated communication systems, which are based on Wi-Fi technology, the presented one has as distinctive features: small dimensions, low power consumption, and a considerable autonomy. A large set of experiments and the corresponding results illustrates the functionality of the configurable virtual web instrument principle materialized in the E-Health Monitoring and Supervising System (EMSS) that has many possible applications. As an example, a cheap, easy to use, and personalized support destined to improve the quality of life for subjects suffering from chronic diseases or elderly patients was chosen. The implementation of the complete application included a model for gesture recognition, which allows the classification and assessment of the characteristics of the subject’s movement, highlighting even small progresses of the monitored patients.


2021 ◽  
Vol 18 (1) ◽  
pp. 96-104
Author(s):  
E. A. Safronov ◽  
K. E. Safronov

Introduction. One of the important problems in the Russian Federation is road safety improvement (RS). This is due to the enormous damage that accidents inflict on the national economy. The Russian Federation lags behind the leading countries of the European Union in the field of road safety in terms of key indicators by 3.5 times. To close the gap, in January 2018, we adopted the 'Strategy for road safety in the Russian Federation for 2018 - 2024’ (Strategy). The goal of the Strategy is to strive for zero mortality in road traffic accidents (RTA) by 2030, and in 2024 to reduce the social risk to 4 deaths per 100 thousand inhabitants.Materials and methods. The developments are based on a new theory developed at SibADI - this is the cyclical dynamics of road accidents on a national scale, subordinate to the level of the economy. During crisis, there is a decrease in the number of accidents; this is influenced by a number of factors, the main one is a decrease in the total mileage of vehicles. During such periods, the effectiveness of measures to reduce road accidents is often confused with the real cause, which leads to a decrease in funding and the curtailment of work to improve road safety, which should not be done. When the economy recovers, the level of road accidents recovers and even begins to grow due to the loss of qualifications of drivers who are idle during the crisis.Results. There are two different approaches to achieving this goal. At the federal level, there is a programmatic approach, while in the regions the project method is used within the framework of the 'Safe and High-Quality Highways’ national project (BKAD). A similar project was adopted in the Omsk region. A feature of the road safety project implementation in the Omsk region is the involvement of science. Research is carried out at the Organization and Traffic Safety Department and is introduced into the educational process and implemented at the Federal Training Center for advanced training of workers involved in the training of drivers, created in SibADI.Discussion and conclusion. The scientific approach guarantees the identification and quality solution of the main problems of the road safety project. This applies to recommendations for stabilizing project financing, justifying the development of public transport, using new technologies, improving the regulatory and legislative framework in all areas of urban planning and infrastructure.


2010 ◽  
Vol 2 (2) ◽  
pp. 64-78
Author(s):  
H. S. Mohana ◽  
M. Ashwathakumar

Traffic congestion and violation of traffic rules are very common in most of the road transport system. Continuous monitoring is becoming difficult. To improve the quality of road transport monitoring and control, the best possible alternative is machine vision. In this review, several works by researchers on traffic analysis are detailed, studied and reviewed critically for the purpose. Further, an attempt is made to classify the different road traffic analysis approaches available in the literature. Classification is based on principle used, algorithm adopted, techniques used, technology behind and other special considerations of the researchers.


Nowadays on the road, the number of vehicles has been increasing rapidly. The road traffic congestions are posturing severe hitches owing to the inadequate ability of road networks and irregular on-route procedures in most of the towns and ensuing in a substantial number of losses. To address these problems, advanced traffic monitoring methods are being commonly used in major towns. Nevertheless, owing to increasing traffic on roads, additional methods remain desired to avoid traffic bottlenecks. The emergent of vehicle communication technologies, and particularly vehicle to vehicle and vehicle to infrastructure would be of great support. These technologies help in improving the ride duration of the traveller and alleviating the congestion problems in road traffic. The vehicles could communicate with each other and thus the traveller can be alerted about the vehicles around him. Therefore, this paper explores the message passing mechanisms between vehicles that collaboratively determine the optimal speed of the approaching vehicles and other suitable actions to take on to crossroad junctures with least delays but eventually evading stoppings. This exploration helps in achieving a substantial improvement in terms of the reduction in the travellers’ average trip time.


2019 ◽  
Vol 17 ◽  
pp. 137-143
Author(s):  
André B. C. da Silva ◽  
Stefan V. Baumgartner ◽  
Alberto Moreira

Abstract. Synthetic aperture radar (SAR) is an efficient solution for road traffic monitoring due to its high spatial resolution and independence from daylight and weather conditions. In this sense, a number of ground moving target indication (GMTI) algorithms have been developed, whereas their robustness is often achieved with high costs, increased hardware complexity and high computational burden. This paper presents a fast GMTI processor that blends the powerful post-Doppler space-time adaptive processing (PD STAP) with an a priori known road map and digital elevation model (DEM). The algorithm presents great potential for real-time processing, decreased hardware complexity and low costs compared to state-of-the-art systems. It is tested using real 4-channel X-band radar data acquired with the DLR's airborne F-SAR.


2021 ◽  
Vol 18 (6) ◽  
pp. 74-87
Author(s):  
I. A. Chebykin

The objective of the article is to describe application of computer vision and artificial intelligence technologies for solving the problems of road infrastructure design.The article evaluates the traditional methods of quantitative and qualitative analysis of traffic flows in terms of labour intensity and accuracy using the method of comparative analysis, the advantages and disadvantages of the considered methods are indicated. A new method of traffic flow analysis using unmanned aerial vehicles and computer vision technology based on convolutional neural networks is proposed. The considered method makes it possible to fully automate collection and analysis of data on traffic flows. The article describes the first application of the proposed method when performing transport and economic surveys within the framework of the design of «Northern bypass of the city of Perm». The advantages of the applied method in relation to the traditional ones are described. To implement this project, software was developed for analysing traffic flows using video materials.Further, traffic monitoring is considered, its goals and objectives are described, the necessary functionality of the road traffic monitoring automation system is indicated, the traffic parameters that it should determine are listed. The methodology for implementation of an automated traffic monitoring system based on video materials on a section of the road is considered.A presented project of a traffic monitoring system makes it possible to extend the previously considered approach to the entire road network. Technologies are described that make it possible to implement this system based on video analytics of materials from CCTV cameras. A method for vehicle re-identification is proposed, and the implementation of this method is demonstrated. The method allows building a correspondence matrix of vehicles recorded by CCTV cameras located on different segments of the road network, as well as determining all traffic parameters for the entire street and road network.The conclusions outline the prospects for development of the developed software in terms of application in intelligent transport systems.


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