Towards the Model of Traffic Flow on the Southern Baltic Based on Statistical Data

Author(s):  
A Puszcz ◽  
L Gucma
2020 ◽  
Vol 28 (2) ◽  
pp. 8-17
Author(s):  
Denis Kapski ◽  
Yauheni Kot ◽  
Tetiana Lutsenko ◽  
Oleksii Prasolenko ◽  
Andrii Galkin ◽  
...  

AbstractThe article is devoted to an analysis of accidents involving pedestrians in traffic. An analysis of the statistical data of accidents involving pedestrians in the Republic of Belarus has been made. The main patterns and trends of accidents involving pedestrians are identified. A detailed analysis of the accident rate at pedestrian crossings and intersections was carried out, which made it possible to establish the most dangerous types of collisions during the interaction of transport and pedestrian flows. Experimental studies of collision situations were also carried out, which made it possible to establish the dependence of the violation rate on the composition of the right-handed traffic flow, on the type of traffic signal that regulates traffic on the right, as well as on the size of groups of pedestrians in front of cars.


1989 ◽  
Vol 28 (02) ◽  
pp. 69-77 ◽  
Author(s):  
R. Haux

Abstract:Expert systems in medicine are frequently restricted to assisting the physician to derive a patient-specific diagnosis and therapy proposal. In many cases, however, there is a clinical need to use these patient data for other purposes as well. The intention of this paper is to show how and to what extent patient data in expert systems can additionally be used to create clinical registries and for statistical data analysis. At first, the pitfalls of goal-oriented mechanisms for the multiple usability of data are shown by means of an example. Then a data acquisition and inference mechanism is proposed, which includes a procedure for controlling selection bias, the so-called knowledge-based attribute selection. The functional view and the architectural view of expert systems suitable for the multiple usability of patient data is outlined in general and then by means of an application example. Finally, the ideas presented are discussed and compared with related approaches.


1976 ◽  
Vol 15 (01) ◽  
pp. 36-42 ◽  
Author(s):  
J. Schlörer

From a statistical data bank containing only anonymous records, the records sometimes may be identified and then retrieved, as personal records, by on line dialogue. The risk mainly applies to statistical data sets representing populations, or samples with a high ratio n/N. On the other hand, access controls are unsatisfactory as a general means of protection for statistical data banks, which should be open to large user communities. A threat monitoring scheme is proposed, which will largely block the techniques for retrieval of complete records. If combined with additional measures (e.g., slight modifications of output), it may be expected to render, from a cost-benefit point of view, intrusion attempts by dialogue valueless, if not absolutely impossible. The bona fide user has to pay by some loss of information, but considerable flexibility in evaluation is retained. The proposal of controlled classification included in the scheme may also be useful for off line dialogue systems.


ICCTP 2009 ◽  
2009 ◽  
Author(s):  
Jianjun Wang ◽  
Chenfeng Xie ◽  
Zhenwen Chang ◽  
Jingjing Zhang

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Lidong Zhang ◽  
Wenxing Zhu ◽  
Mengmeng Zhang ◽  
Cuijiao Chen

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Bo Wang ◽  
Haixiao Wang ◽  
Ke Ji ◽  
Qi Mi

Sign in / Sign up

Export Citation Format

Share Document