Implementation of the Road Traffic Safety Concept in Belarus

Капский, Д. В.; Богданович, С. В.; Volynets, A. Z.

doi:10.1007/978-3-030-22375-5_13

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…In 2017, the Czech Republic used the SER principles to increase the level of safety on their national roads (Ambros and Valentová 2013;Ambros et al 2019). In 2019, Belarus used SER principles for developing a new road traffic safety concept (Kapsky et al 2019). In Hungary, the cross-sectional designs of rural roads were analyzed determining the extent to which the roads were self-explaining (Torok 2013).…”

Section: Other Developmentsmentioning

confidence: 99%

Self-explaining roads: What does visual cognition tell us about designing safer roads?

Theeuwes

2021

Cogn. Research

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In 1995, Theeuwes and Godthelp published a paper called “self-explaining roads,” in which they argued for the development of a new concept for approaching safe road design. Since this publication, self-explaining roads (SER) became one of the leading principles in road design worldwide. The underlying notion is that roads should be designed in such a way that road users immediately know how to behave and what to expect on these roads. In other words, the environment should be designed such that it elicits adequate and safe behavior. The present paper describes in detail the theoretical basis for the idea of SER and explains why this has such a large effect on human behavior. It is argued that the notion is firmly rooted in the theoretical framework of statistical learning, subjective road categorization and the associated expectations. The paper illustrates some successful implementation and describes recent developments worldwide.

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Section: Other Developmentsmentioning

confidence: 99%

Self-explaining roads: What does visual cognition tell us about designing safer roads?

Theeuwes

2021

Cogn. Research

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“…The analysis of the absolute values associated with the road traffic accidents within a short period (1-3 years) does not provide a complete under-standing of the tendencies in the accidents. The consideration of historical data, including the use of some relative data, is of significant interest [11]. Fig.…”

Section: Road Accident Tendencies In the Republic Of Kazakhstanmentioning

confidence: 99%

Analysis of the State of the Road Traffic Safety in the Republic of Kazakhstan

Ибраев¹,

Ibraev²,

Капский

et al. 2019

Nauka teh.

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The article presents the results of the study of the road traffic safety on the automobile roads of the Republic of Kazakhstan. We performed the analysis of the main indicators, specifying the state of the road traffic safety on the automobile roads of the republican significance of the Republic of Kazakhstan. In many regulatory acts, such as “The Priority Action Plan for Improving the Road Traffic Safety of the Republic of Kazakhstan for 2017–2020”, developed with the support of the Asian Development Bank, and in the “National Concept of Road Traffic Safety” project as well , developed by the Interdepartmental Research Institute called “The Academy of Law Enforcement Agencies” of the General Prosecutor’s Office of the Republic of Kazakhstan, the urgent need to improve road traffic safety is clearly pointed. At the same time, it is necessary to have the information about the extent of the existing problem in the field of road traffic safety, which is ensured by the constant consideration and analysis of the statistical indicators, as well as by planning appropriate measures aimed at correcting the situation and achieving planned indicators in the framework of, for example, the national concept of road traffic safety. Currently, statistics on road traffic accidents, occurring in Kazakhstan, are published by the Committee on Statistics of the Republic of Kazakhstan and the Committee on Legal Statistics and Special Accounting. However in the current situation, this is not enough, especially since the ARC MIID of the Republic of Kazakhstan outlined the program of actions aimed at eliminating the existing shortcomings in the field of the road traffic safety and significant improving its indicators. The analytical investigation of the status of the road traffic safety on the roads of the Republic of Kazakhstan was carried out. This will become a kind of starting point in the consistent work in this direction, which will provide the interested parties, first of all the experts, with the high-quality and reliable information about the main figures, characterizing the state of safety of the road users. Based on objective accident data, it is possible to take the effective measures aimed at improving the situation on the roads of the Republic of Kazakhstan.

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An intelligent optimization method for the facility environment on rural roads

Ren,

Yu,

Chen

et al. 2024

Computer aided Civil Eng

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This study develops an intelligent optimization method of the facility environment (i.e., road facilities and surrounding landscapes) from drivers’ visual perception to adjust operation speeds on rural roads. Different from previous methods that heavily rely on expert experience and are time‐consuming, this method can rapidly generate optimized visual images of the facility environment and promptly verify the optimization effects. In this study, a visual road schema model is established to quantify the facility environment from drivers’ visual perception, and an automated optimization scheme determination approach considering the original facility environment characteristics is proposed using self‐explaining theory. Then, Cycle‐consistent generative adversarial network is used to automatically generate optimized facility environment images. To verify the optimization effect, operation speeds of the optimized facility environments are predicted using random forest. The case study shows that this method can effectively optimize the facility environment where original operation speeds are more than 20% over the speed limits, and the whole process only takes 1 h far less than several months or years in previous ways. Overall, this study advances the intelligence level in optimizing the facility environment and enhances rural road safety.

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Implementation of the Road Traffic Safety Concept in Belarus

Cited by 4 publications

References 5 publications

Self-explaining roads: What does visual cognition tell us about designing safer roads?

Self-explaining roads: What does visual cognition tell us about designing safer roads?

Analysis of the State of the Road Traffic Safety in the Republic of Kazakhstan

An intelligent optimization method for the facility environment on rural roads

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