Syntactic Method for Vehicles Movement Description and Analysis

The syntactic primitives and the description language can be used for assignment and analysis of vehicles movement. The paper introduces a method that allows spotting vehicles’ manoeuvres on and between traffic lanes, observing images, registered by a video camera. The analysis algorithms of the vehicles’ movement trajectories were considered in this paper as well

Various aspects of vehicles image data-streams reduction for road traffic sufficient description

The on-line image processing was implemented for video-camera usage for traffic control. Due to reduce the immense data sets dimension various speculations of data sampling methods were introduced. At the beginning the needed sampling ratio has been found then simple but effective image processing algorithms have to be chosen, finally the hardware solutions for parallel processing are discussed. The PLA computing engine was involved for coping with this task; for fulfilling the assumed characteristics. The developer has to consider several restrictions and preferences. None universal algorithm is available up to now. The reported works, concern vehicles stream recorders development that has to do all recording and computing procedures in strictly defined time limits

The Neural Network Selection for a Medical Diagnostic System using an Artificial Data Set

The paper describes experiments with a neural network selection that works as a conclusion-making unit of walk-abnormalities diagnosis. The diagnostic interfaces described in this paper provide the user with various tools for the disease analysis. They are having a pressure and load distribution on the foot, while taking into account the individual characteristics of the patient standing and walking (1), (2), (3). Various visualisation options give the user many aims in putting the diagnosis anyhow, in order to simplify the diagnostic process several methods for the data record filtering have been implemented. The discussed methods of the neural network selection and training show how to avoid difficulties with limited number of available data records, needed for the conclusion algorithms effectiveness improvement

The transportation network rough description for an adaptive traffic control algorithms by means of video detection technique

The contribution discusses a transportation network rough description that corresponds to satisfactory level of an adaptive traffic control algorithms implementation [4], supported by video-detection system. The decision making algorithms have to provide us with not only vehicles’ approach time prediction, at the intersections but also finding possible solution for avoiding critical queues at the intersections. Majority of traditional traffic control systems are based on number of cars recorded by inductive loops, however they do not define any proper occupation states at any traffic lane. The time window indicated for passing the defined number of cars loses the distance gaps visible between the cars on the traffic lane. That is why remarkable part from the defined number of cars will not cross the intersection in the defined green light time. Procedures used for searching an optimal solution using the inductive measurements can, in the majority cases, be undoubtedly noticed as a theoretical analysis only

Digital camera as a data source of ITS solutions in traffic control and management

The traffic adaptive-control processes and Intelligent Transportation Systems (ITS) work on traffic characteristics provided by vehicles various detectors. In majority cases the algorithms work on vehicles number evidences only, recorded on traffic lanes. The expected data concerns the vehicles number and a time schedule observed at stop-lines on intersection inlets or another points of the traffic intensity checking. A satisfactory usage of the video technology needs various simplifications of the data source structure and the processing algorithms. For simplification of these all processes several solutions must be implemented. One can try reducing the data size and improve the processing algorithms. Better results can be expected after proper selection of the data sampling intervals, namely the data granularity finding. Several conclusions concerning the traffic recording and modeling are presented in this work. The discussed technology was implemented to produce

Digital control systems training on a distance learning platform

The paper deals with new training technologies development based on approach to distance learning website, implemented in the laboratory of a Traffic Engineering study branch at Faculty of Transport. The discussed computing interface allows students complete knowledge of traffic controllers’ architecture and machine language programming fundamentals. These training facilities are available at home; at their remote terminal. The training resources consist of electronic / computer based training; guidebooks and software units. The laboratory provides the students with an interface entering into simulation packages and programming interfaces, supporting the web training facilities. The courseware complexity selection is one of the most difficult factors in intelligent training unit’s development. The dynamically configured application provides the user with his individually set structure of the training resources. The trainee controls the application structure and complexity, from the time he started. For simplifying the training process and studying activities, several unifications were provided. The introduced ideas need various standardisations, simplifying the e-learning units’ development and application control processes [8], [9]. Further training facilities development concerns virtual laboratory environment organisation in laboratories of Transport Faculty

Vehicles trajectories movement description by means of syntactic method

The paper introduces an approach that allows the user spotting by video camera moving cars between traffic lanes. The syntactic primitives and the description language were defined. The algorithms of the vehicles trajectories movement recognition are also under consideration in this paper

Syntactic Method for Vehicles Movement Description and Analysis

The syntactic primitives and the description language can be used for assignment and analysis of vehicles movement. The paper introduces a method that allows spotting vehicles’ manoeuvres on and between traffic lanes, observing images, registered by a video camera. The analysis algorithms of the vehicles’ movement trajectories were considered in this paper as well