A New Framework to Evaluate Crash Risk for Road Traffic Safety Management System

2021 ◽  
pp. 573-587
Author(s):  
Fabio Porcu ◽  
Francesca Maltinti ◽  
Nicoletta Rassu ◽  
Francesco Pili ◽  
Michela Bonera ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Management System ◽  
Safety Management ◽  
Road Traffic ◽  
Crash Risk ◽  
Safety Management System ◽  
Road Traffic Safety ◽  
New Framework

scholarly journals Selected Aspects of the Road Traffic Safety Management System

2021 ◽  
Vol 23 (2) ◽  
pp. F33-F42
Author(s):  
Monika Stoma ◽  
Jacek Caban ◽  
Agnieszka Dudziak ◽  
Andrzej Kuranc
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Management System ◽  
Safety Management ◽  
Road Traffic ◽  
Management Systems ◽  
Safety Management System ◽  
The Road ◽  
Road Traffic Safety ◽  
The Impact

The article is an attempt to present the two modern concepts of safety management systems. The first is the sunflower pyramid used especially in Europe, the second is the ISO 39001 standard (Road Safety Management System) of international scope. The idea and possibilities offered by use of both concepts of safety management, as well as an attempt to assess the impact of their actions on decrease in fatalities in selected EU countries, were presented. As a result of the conducted analyses, a downward trend was noted as to the number of certificates issued for compliance with the ISO 39001 standard in the world, which may indicate an appearance of the more adequate management systems, or other tools or concepts to improve the road safety, or inadequate education society and low level of awareness in this area of stakeholders, including politicians, scientists, producers, drivers (professional and reliable), as well as other road users, including unprotected ones.

scholarly journals Premises of the creation of a digital traffic safety management system

Dependability ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 45-52
Author(s):  
A. М. Zamyshliaev
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Control Systems ◽  
Traffic Safety ◽  
Management System ◽  
Safety Management ◽  
Digital Transformation ◽  
Safety Management System ◽  
Real Time Traffic ◽  
The Creation

Aim.The digital transformation of the traffic safety management system in JSC RZD involves top-level integration with the operating processes of all business units in terms of integral assessment of the risk of possible events and achievement of specified indicators. The result will be the merger of the traffic safety management system with the processes of all levels of the company’s management enabled by an integrated intelligent system for managing processes and services whose functionality includes real-time traffic safety management.Methods. The paper uses system analysis of existing approaches and methods of processing of large quantities of structured and unstructered data.Results. The paper examines the development stages of train traffic safety management, as well as automated information and control systems that enable traffic safety management. General trends in the creation of systems for collection and processing of information are analyzed. The applicability of such technologies as Big Data, Data Mining, Data Science as part of advanced control systems is shown. The paper examines the performance of the above technologies by analyzing the effect of various factors on the average daily performance of a locomotive, where, at the first level, such factors as average daily run of a locomotive, average trainload are taken into consideration; at the second level, the focus is on the service speed, locomotive turnover at station, etc.; at the sixth level, the focus is on the type of locomotive, its technical state, etc. It is shown that statistical methods of factor analysis and link analysis combined with such other methods of Data Mining as methods of simulation and prediction, the average daily performance of a locomotive can be planned proactively. The author proposes a procedure of migration towards a digital traffic safety management system that would be based on models of interaction of safety and dependability factors of all railway facilities at all railway levels of hierarchy, as well as in association with other factors that have no direct relation to dependability, yet affect the safety of the transportation process.Conclusions. The primary benefit of migration towards Big Data consists in the development of a dynamic model of traffic safety, the elimination of human factor in control systems. Most importantly, it enables the creation within the Russian Railways company (JSC RZD) of an integrated intelligent process and service management system that enables real-time traffic safety management. An extensive process of development and deployment within the company of the URRAN Single Corporate Platform (SCP) enabled executive decision support as regards risk-based functional dependability and safety of transportation facilities. Thus, the URRAN SCP sets the stage for the digital transformation of the traffic safety management system in JSC RZD.

How to Improve Road Traffic Safety Management Greatly in China: Use a Systems Perspective of Safety

2010 ◽  
Vol 40-41 ◽  
pp. 754-759
Author(s):  
Zhi Hua Ding
Keyword(s):  
Traffic Safety ◽  
Safety Management ◽  
Road Traffic ◽  
Current Management ◽  
Lower Efficiency ◽  
Systems Perspective ◽  
Road Traffic Safety ◽  
Vision Zero

Current management of road traffic safety is featured by lower efficiency and quality in China. The paper is intended to seek a possible solution for improving the management of road traffic safety by using the systems perspective of safety from Vision Zero for reference. The situation of the management of road traffic safety is described first. Compared with traditional ideas and epidemiology-based ideas on road traffic safety, the perspective is introduced. After that, it is used in analyzing the problems in current management of road traffic safety and looking for the countermeasures for them. Different from other studies in China, the paper highlights the introduction and application of the systems perspective of safety as the leading ideas in the field.

Use of SafeFITS mathematical modeling in a road safety management system

2018 ◽  
pp. 7-15
Author(s):  
Volodymyr Ageev ◽  
Andrii Horpinyuk ◽  
Arseniy Khabutdinov ◽  
Volodymyr Koskovetsky
Keyword(s):  
Mathematical Modeling ◽  
Performance Indicators ◽  
Road Safety ◽  
Management System ◽  
Safety Management ◽  
Road Traffic ◽  
Safety Performance ◽  
Traffic Fatalities ◽  
Safety Management System ◽  
Traffic Incident

The results of the work of the UNECE ITC on the development of the SafeFITS tool were reviewed, the indicators proposed in the framework of this tool for assessing the effectiveness of making management decisions in order to ensure road safety were analyzed and the possibility and relevance of its application in Ukraine were considered. Keywords: road safety, road traffic incident, road traffic fatalities and injuries, road safety performance indicators (RSPI), road safety management system.

scholarly journals Application of the GWR Model for Predicting the Road Fatalities Rate on the Road Network in the Nuts 3 Regions in Europe on the Example of Kuyavian-Pomeranian Voivodeship

2020 ◽  
Vol 50 (1) ◽  
pp. 215-236
Author(s):  
Joanna Wachnicka ◽  
Katarzyna Palikowska
Keyword(s):  
Traffic Safety ◽  
Road Network ◽  
Safety Management ◽  
Road Traffic ◽  
The Road ◽  
Road Traffic Safety ◽  
Geographically Weighted Regression Model ◽  
On The Road ◽  
Administrative Units ◽  
Gwr Model

AbstractThe article presents the application of the GWR (Geographically Weighted Regression) model to the description of differences in the level of road traffic safety in individual counties on the example of the Kuyavian-Pomeranian Voivodeship. The GWR model developed for counties, taking into account the diversity of NUTS 3 regions, can be a helpful tool for traffic safety management in voivodships and lower administrative units, and such an approach has not yet been applied.

Typical Characteristics of Road Traffic Safety Management in Guangdong, Hong Kong and Macao

2021 ◽  
pp. 11-17
Author(s):  
Guangnan Zhang ◽  
Ying Tan ◽  
Qiaoting Zhong ◽  
Yinchang Fu
Keyword(s):  
Hong Kong ◽  
Traffic Safety ◽  
Safety Management ◽  
Road Traffic ◽  
Road Traffic Safety
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