scholarly journals STATISTICAL PROBABILITY EVALUATION OF OPERATING ITS

Transport ◽  
2010 ◽  
Vol 25 (2) ◽  
pp. 163-170 ◽  
Author(s):  
Adolfas Baublys ◽  
Aldona Jarašūnienė
Keyword(s):  
Analytical Description ◽  
Statistical Information ◽  
Transport Systems ◽  
Statistical Probability ◽  
Intelligent Transport ◽  
Loop Detectors ◽  
Probability Evaluation ◽  
Control Technologies ◽  
And Control

Intelligent Transport Systems (ITS) work with information and control technologies providing the core of ITS functions. Some of these technologies like loop detectors are well known to transportation professionals. However, there are a number of less familiar technologies and system concepts that are keys to ITS functions. Although information and control technologies act as a technical core of ITS, human factors also remain vitally important and potentially very complex issues. The process of operating ITS is influenced by a number of random factors. Along with an assessment of dependence upon separate random factors, the classification of those in the whole hierarchical structure of operating ITS is presented. Statistical information on operating ITS is renewed and replenished in the course of time. With the growth of information amounts, the costs of storing them also increase. Therefore, the article presents relevant algorithms for obtaining required statistical assessments with the least statistical information. It is deduced that while modelling the process of operating ITS, an analytical description of random factors applying non‐parametric assessment is suitable.

scholarly journals RESEARCH INTO INTELLIGENT TRANSPORT SYSTEMS (ITS) TECHNOLOGIES AND EFFICIENCY

Transport ◽  
2007 ◽  
Vol 22 (2) ◽  
pp. 61-67 ◽  
Author(s):  
Aldona Jarašūnienė
Keyword(s):  
Human Factors ◽  
Human Factor ◽  
Early Stage ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
The Core ◽  
Loop Detectors ◽  
Control Technologies ◽  
And Control

Intelligent Transport Systems work with information and control technologies which provide the core of ITS functions. Some of these technologies, like loop detectors, are well known to transportation professionals. However, there are a number of less familiar technologies and system concepts that are the key to ITS functions. The technical core of ITS is information and control technologies, but human factors are also vitally important, and potentially very complex. This paper introduces the main ITS enabling technologies and explains why transport professionals should involve human factor experts at an early stage of design of ITS equipment and facilities.

Pedestrian Crossings Detection by using Driving Assistance Systems

2017 ◽  
Vol 9 ◽  
pp. 17
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Detection System ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Histograms Of Oriented Gradients ◽  
Driving Assistance ◽  
Detection Of Objects ◽  
Assistance Systems ◽  
And Performance ◽  
And Control

This paper mainly studies Driving Assistance Systems and Detection Pedestrian Crossings of traffic and control, many years around the world and company studies have been conducted on intelligent transport systems (ITS). Intelligent vehicle, (IV) the system is part of a system which is designed to assist drivers in the perception of any dangerous situations before, to avoid accidents after sensing and understanding the environment around it.  Methodology: we made an analysis of the peculiarities of the task of surveillance for pedestrian crossings and presented a detection system which these features into account. The system consists of a detector based on histograms of oriented gradients, and activity detector. The proposed Results tested detection precision and performance of the proposed system. The motion of the work is to combine the proposed system and the tracker. The results show that an adequate application of the quality and performance of the developed algorithm of detection of objects of interest in the work.

scholarly journals ASSESSMENT OF STATISTICAL PROBABILITY OF THE TECHNOLOGICAL TRANSPORTATION PROCESS

Transport ◽  
2002 ◽  
Vol 17 (4) ◽  
pp. 127-136 ◽  
Author(s):  
Adolfas Baublys
Keyword(s):  
Technological Process ◽  
Freight Transportation ◽  
Statistical Information ◽  
Transport Networks ◽  
Statistical Assessment ◽  
Statistical Probability ◽  
Transportation Process ◽  
The Cost ◽  
Information Amount

In the course of freight transportation its technological process is influenced by lots of random factors. The classification of random factors in the whole hierarchical structure of the technological transportation process is presented together with the assessment of the dependence of separate random factors. Statistical information on freight and transport flows is renewed and replenished in the course of time. With the growth of information amount the cost of its storage increases as well. Therefore the relevant algorithms for obtaining required statistical assessment with the least statistical information are presented in the article. It is deduced that in the modelling of transport networks and freights as well as the flows of transport means in them, it is analytically proper to describe random factors by the non-parametric assessment.

Distributed Visual Surveillance with Resource Constrained Embedded Systems

2011 ◽  
pp. 272-292 ◽  
Author(s):  
Mangesh Chitnis ◽  
Claudio Salvadori ◽  
Matteo Petracca ◽  
Paolo Pagano ◽  
Giuseppe Lipari ◽  
...  
Keyword(s):  
Moving Objects ◽  
Low Cost ◽  
Visual Surveillance ◽  
Urban Traffic ◽  
Transport Systems ◽  
Intelligent Transport ◽  
Image Capturing ◽  
Object Counting ◽  
And Control ◽  
Node Energy

In this chapter, we present an innovative technique of line sensor based image capturing and processing in order to detect moving objects such as vehicles. Line Sensor techniques, when used in MWSN, may achieve faster processing results with much less storage and bandwidth requirements while conserving node energy. Line Sensor based processing algorithms provide novel ways for object counting, classification and speed measurement. This solution presents itself as an ideal low-cost candidate for Intelligent Transport Systems (ITS) to monitor and control urban traffic.

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