Expert system to calculate the cofficient of friction : an approach to enhance traffic safety

Friction plays a key role in causing slipperiness as a low coefficient of friction on the road may result in slippery and hazardous conditions. Analyzing the strong relation between friction and accident risk on winter roads is a difficult task. Many weather forecasting organizations use a variety of standard and bespoke methods to predict the coefficient of friction on roads. This article proposes an approach to predict the extent of slipperiness by building and testing an expert system. It estimates the coefficient of friction on winter roads in the province of Dalarna, Sweden using the prevailing weather conditions as a basis. Weather data from the road weather information system, Sweden (RWIS) was used. The focus of the project was to use the expert system as a part of a major project in VITSA, within the domain of intelligent transport systems

QoS evaluation of Bandwidth Schedulers in IPTV Networks Offered SRD Fluid Video Traffic

Internet protocol TV (IPTV) is predicted to be the key technology winner in the future. Efforts to accelerate the deployment of IPTV centralized model which is combined of VHO, encoders, controller, access network and Home network. Regardless of whether the network is delivering live TV, VOD, or Time-shift TV, all content and network traffic resulting from subscriber requests must traverse the entire network from the super-headend all the way to each subscriber's Set-Top Box (STB). IPTV services require very stringent QoS guarantees When IPTV traffic shares the network resources with other traffic like data and voice, how to ensure their QoS and efficiently utilize the network resources is a key and challenging issue. For QoS measured in the network-centric terms of delay jitter, packet losses and bounds on delay. The main focus of this thesis is on the optimized bandwidth allocation and smooth data transmission. The proposed traffic model for smooth delivering video service IPTV network with its QoS performance evaluation. According to Maglaris et al [5] first, analyze the coding bit rate of a single video source. Various statistical quantities are derived from bit rate data collected with a conditional replenishment inter frame coding scheme. Two correlated Markov process models (one in discrete time and one in continuous time) are shown to fit the experimental data and are used to model the input rates of several independent sources into a statistical multiplexer. Preventive control mechanism which is to be including CAC, traffic policing used for traffic control. QoS has been evaluated of common bandwidth scheduler( FIFO) by use fluid models with Markovian queuing method and analysis the result by using simulator and analytically, Which is measured the performance of the packet loss, overflow and mean waiting time among the network users.

Reliability of GPS based traffic data: an experimental evaluation

GPS tracking of mobile objects provides spatial and temporal data for a broad range of applications including traffic management and control, transportation routing and planning. Previous transport research has focused on GPS tracking data as an appealing alternative to travel diaries. Moreover, the GPS based data are gradually becoming a cornerstone for real-time traffic management. Tracking data of vehicles from GPS devices are however susceptible to measurement errors – a neglected issue in transport research. By conducting a randomized experiment, we assess the reliability of GPS based traffic data on geographical position, velocity, and altitude for three types of vehicles; bike, car, and bus. We find the geographical positioning reliable, but with an error greater than postulated by the manufacturer and a non-negligible risk for aberrant positioning. Velocity is slightly underestimated, whereas altitude measurements are unreliable.

Benchmark Evaluation of HOG Descriptors as Features for Classification of Traffic Signs

The purpose of this paper is to analyze the performance of the Histograms of Oriented Gradients (HOG) as descriptors for traffic signs recognition. The test dataset consists of speed limit traffic signs because of their high inter-class similarities.   HOG features of speed limit signs, which were extracted from different traffic scenes, were computed and a Gentle AdaBoost classifier was invoked to evaluate the different features. The performance of HOG was tested with a dataset consisting of 1727 Swedish speed signs images. Different numbers of HOG features per descriptor, ranging from 36 features up 396 features, were computed for each traffic sign in the benchmark testing. The results show that HOG features perform high classification rate as the Gentle AdaBoost classification rate was 99.42%, and they are suitable to real time traffic sign recognition. However, it is found that changing the number of orientation bins has insignificant effect on the classification rate. In addition to this, HOG descriptors are not robust with respect to sign orientation.

Traffic and Road Sign Recognition

This thesis presents a system to recognise and classify road and traffic signs for the purpose of developing an inventory of them which could assist the highway engineers’ tasks of updating and maintaining them. It uses images taken by a camera from a moving vehicle. The system is based on three major stages: colour segmentation, recognition, and classification. Four colour segmentation algorithms are developed and tested. They are a shadow and highlight invariant, a dynamic threshold, a modification of de la Escalera’s algorithm and a Fuzzy colour segmentation algorithm. All algorithms are tested using hundreds of images and the shadow-highlight invariant algorithm is eventually chosen as the best performer. This is because it is immune to shadows and highlights. It is also robust as it was tested in different lighting conditions, weather conditions, and times of the day. Approximately 97% successful segmentation rate was achieved using this algorithm.Recognition of traffic signs is carried out using a fuzzy shape recogniser. Based on four shape measures - the rectangularity, triangularity, ellipticity, and octagonality, fuzzy rules were developed to determine the shape of the sign. Among these shape measures octangonality has been introduced in this research. The final decision of the recogniser is based on the combination of both the colour and shape of the sign. The recogniser was tested in a variety of testing conditions giving an overall performance of approximately 88%.Classification was undertaken using a Support Vector Machine (SVM) classifier. The classification is carried out in two stages: rim’s shape classification followed by the classification of interior of the sign. The classifier was trained and tested using binary images in addition to five different types of moments which are Geometric moments, Zernike moments, Legendre moments, Orthogonal Fourier-Mellin Moments, and Binary Haar features. The performance of the SVM was tested using different features, kernels, SVM types, SVM parameters, and moment’s orders. The average classification rate achieved is about 97%. Binary images show the best testing results followed by Legendre moments. Linear kernel gives the best testing results followed by RBF. C-SVM shows very good performance, but ?-SVM gives better results in some case.

Color detection and segmentation for road and traffic signs

This paper aims to present three new methods for color detection and segmentation of road signs. The images are taken by a digital camera mounted in a car. The RGB images are converted into IHLS color space, and new methods are applied to extract the colors of the road signs under consideration. The methods are tested on hundreds of outdoor images in different light conditions, and they show high robustness. This project is part of the research taking place in Dalarna University / Sweden in the field of the ITS.

A segurança viária e o fator humano : verificação da presença de álcool-direção no sistema de transporte rodoviário do RGS

Esta dissertação examina a situação geral dos Acidentes Viários, no contexto do transporte rodoviário, cujas evidências apontam o Fator Humano como o maior responsável por tais eventos. Entende-se que um maior conhecimento sobre ele possibilitará melhorar a segurança do tráfego e da produção transporte. O estudo pretende destacar a importância das análises relacionadas com a atividade transporte rodoviário, as variações da demanda do sistema de circulação e a tarefa do motorista, sob a ótica da ergonomia. Objetiva ele, também, mostrar importância desses estudos para melhor avaliar as interações dos fatores homemmáquina- ambiente viário e para o desenvolvimento de novas tecnologias e produtos de segurança viária. A revisão bibliográfica dos capítulos iniciais revelam o estado da arte e a importância da segurança de trânsito, em nível internacional. Também revelaram que todas nações sofrem do mesmo mal em suas redes viárias, que varia de acordo com a realidade de cada um. Embora o acidente de trânsito seja um fenômeno comum às nações, aqui eles atingiram a dimensão de flagelo social, em razão da sua severidade; e de calamidade econômica, face a elevação dos custos de produção na atividade do transporte rodoviário. São analisadas as características do fator humano, fundamentais na tarefa de condução, e o respectivo nexo causal das falhas com a gênese do acidente, num sistema multifatorial e interativo. O trabalho fundamenta-se em extensa revisão bibliográfica. O estudo de caso, desenvolvido a partir da revisão dos dados de uma pesquisa anterior, comprova a hipótese que o “álcool-direção”, considerado na literatura como o maior causador de acidentes viários, tem sua presença marcada por elevados índices nas rodovias do RS, contrariando a conclusão da pesquisa anterior. Ao final, também oferece recomendações para o desenvolvimento de ações objetivas para melhorar a segurança viária.

The state of the youth: prisons, drugs and car crashes

By virtue of the volume and nature of their attributions, including secondary school as well as problem-areas such as security and traffic, the Brazilian states are the ultimate responsible entities for young people. This study argues in favour of granting greater freedom for the states to define their own public policy parameters to deal with local features and to increase the degree of learning about such actions at the national level. In empirical terms, the study assesses the impacts of new laws, such as the new traffic code (from the joint work with Leandro Kume, EPGE/FGV doctor’s degree student) and traces the statistics for specific questions like drugs, violence and car accidents. The findings show that these questions produce different results for young men and women.The main characters in these dramas are young single males, suggesting the need for more distinguished public policies according not only to age, but also by gender. The study also reveals that the magnitude of these problems changes according to the youth’s social class. Prisons concern poorer men (except for the functional illiterate) while fatal car accidents and the confessed use of drugs concern upper-class boys.

Atribuição de causalidade e eventos acidentais e a tomada de risco

Esta pesquisa teve por objetivo avaliar possíveis relações existentes entre Atribuição de causalidade e Tomada de Risco com relação a eventos acidentes, assim como a influência de algumas variáveis sobre o processo de Tomada de Decisão em situações de risco de acidentes. Para isto foram construídos 4 instrumentos e aplicados a 59 sujeitos operários não especializados de uma indústria de conservas de pescado no Rio de Janeiro. Dentre a mostra, 30 sujeitos são do sexo feminino e 29 do sexo masculino. As variáveis consideradas foram: sexo dos sujeitos, vitimação, consequência da Tomada de Risco, situação sob julgamento e local de trabalho dos sujeitos. Os instrumentos - aplicados a cada sujeito - em número de 4, sendo que dois deles versam sobre situações no trânsito e dois sobre situações no trabalho. Os resultad08 revelaram uma influência significativa de fatores sócio-culturais e psicológicos no processo de Tomada de Decisão diante de eventos acidentais, baseados na vivência de grupos de trabalho com relação a acidentes. Os resultados mostraram que os grupos se estruturam cognitivamente no sentido de tender a padronizar a forma explicativa dos acidentes com base na realidade vivida pelo grupo.

Soil compaction by machine traffic and least limiting water range related to soybean yield

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)