ArticlePDF Available

POTENTIAL FOR IMPROVING THE PROCEDURE OF INSPECTING ROAD TRAFFIC ACCIDENT BLACK SPOTS

Authors:

Abstract and Figures

Introduction: This study proves that the procedure of inspecting road traffic accident black spots (RTA BS) needs improvement. This improvement is to involve the tools and insights associated with the targeted program approach, as well as a road infrastructure indicator system, and information technology tools. The creation of a road infrastructure indicator system and its comprehensive application, coupled with analytical methods and accident prediction system methods, enables the assessment of measures aimed at reducing the number of RTAs. Accounting for information technology tools and systems (such as the digital traffic safety inquiries desk) is also necessary if traffic safety is to be organized and maintained in a systemic way. Purpose of the study: The study is aimed at finding a new approach to improving the procedure of inspecting RTA black spots. Methods: In the course of the study, we use systemic analysis, analytical methods, traffic safety evaluation based on defining the safety and accident coefficients and revealing RTA black spots, probability theory methods, research results processing, and IT computational methods. Results: We provide a rationale for a comprehensive approach to inspecting RTA black spots within the “traffic participant – vehicle – road – external environment” system. We also demonstrate how a group of parameters can be used for studying the systemic indicators of road infrastructure, in the context of the parameters’ characteristics, as well as the conditions of their use. We determine the capabilities of analytical methods, as well as accident prediction methods, in the context of finding an approach to improving the procedure of inspecting RTA black spots. We propose applying a comprehensive approach to the improvement of the RTA BS inspection procedure.
Content may be subject to copyright.
56
POTENTIAL FOR IMPROVING THE PROCEDURE OF INSPECTING ROAD
TRAFFIC ACCIDENT BLACK SPOTS
Elena Kurakina1*, Sergei Evtiukov1, Jarosław Rajczyk2
1Saint Petersburg State University of Architecture and Civil Engineering
Vtoraja Krasnoarmeyskaya st., 4, Saint Petersburg, Russia
2Częstochowa University of Technology
Dabrowskiego st, 69, Czestochowa, Poland
*Corresponding author: elvl_86@mail.ru
Abstract
Introduction: This study proves that the procedure of inspecting road trac accident black spots (RTA BS) needs
improvement. This improvement is to involve the tools and insights associated with the targeted program approach, as
well as a road infrastructure indicator system, and information technology tools. The creation of a road infrastructure
indicator system and its comprehensive application, coupled with analytical methods and accident prediction system
methods, enables the assessment of measures aimed at reducing the number of RTAs. Accounting for information
technology tools and systems (such as the digital trac safety inquiries desk) is also necessary if trac safety is to be
organized and maintained in a systemic way. Purpose of the study: The study is aimed at nding a new approach to
improving the procedure of inspecting RTA black spots. Methods: In the course of the study, we use systemic analysis,
analytical methods, trac safety evaluation based on dening the safety and accident coecients and revealing RTA
black spots, probability theory methods, research results processing, and IT computational methods. Results: We
provide a rationale for a comprehensive approach to inspecting RTA black spots within the “trac participant – vehicle
– road – external environment” system. We also demonstrate how a group of parameters can be used for studying the
systemic indicators of road infrastructure, in the context of the parameters’ characteristics, as well as the conditions of
their use. We determine the capabilities of analytical methods, as well as accident prediction methods, in the context of
nding an approach to improving the procedure of inspecting RTA black spots. We propose applying a comprehensive
approach to the improvement of the RTA BS inspection procedure.
Keywords
Road, road trac accidents, road trac safety, RTA black spot, inspection.
Introduction
Improvement of trac safety and its systemic
management is the top public policy priority, primarily
because addressing this issue will help safeguard human
lives and health. To rearm its commitment to this mission,
Russia introduced Federal Law No. 196-FZ “On Road
Trac Safety” dd. December 10, 1995 (State Duma of the
Russian Federation, 1995). The law, which denes road
trac safety as “activities aimed at preventing the causes
of road accidents and mitigating the consequences of
road accidents”, has prompted the deployment of the
targeted program approach (TPA), which now serves
as the main principle of trac safety measures. We
interpret road trac safety as a comprehensive and
systemic set of activities. If the approach to trac safety
is randomized or non-systemic, it will not yield any viable
results.
The systemic approach includes in-depth research
and improvement of each element within the commonly
used system: Driver – Vehicle – Road – Environment
(DVRE). However, we believe that this system requires
an adjustment: Trac Participant – Vehicle – Road –
External Environment (TP-V-R-EE). This is necessitated
by some of Russia’s current ocial guidelines, which
are aimed at reducing the number of road accidents and
constitute TPA tools relevant to the following: behavior
studies of TP (drivers (D), pedestrians (P), underage
pedestrians (PU), vehicle passengers (PV)); analysis of
vehicle (V) technical condition and use; improvement of
the road infrastructure and management of trac within
the external environment (R, EE); studies of interactions
between the external environment (EE) factors and
TP, vehicles (V), and road (R); development of a road
trac accident (RTA) victim aid and rescue system
and a road trac safety (RTS) management (Fig. 1).
The systemic approach has been used in the global
practice of ensuring RTS for a long time. It takes into
account multiple internal and external factors that
aect the tasks and their functions (Kravchenko and
Oleshchenko, 2018). The need for studying the multi-
factor method also serves as a rationale for developing
a special approach to RTS improvement within the TP-V-
R-EE system specically, a comprehensive approach
to examining high-risk road sections that may potentially
become RTA black spots; this approach should also
account for the specic features of the road infrastructure.
Architecture and Engineering Volume 5 Issue 3 (2020)
57
Figure 1. Targeted guidelines adopted in Russia for the purpose of reducing the road accident rate
Aside from the application of the TPA in a meaningful
way that contributes to the positive dynamics of RTA
reduction, the study of the system elements and RTS
management is also furthered by distinguished authors,
who have managed to obtain the following research and
practical insights:
systemic RTS organization and management
(Kravchenko and Oleshchenko, 2015, 2018);
methods of controlling trac and pedestrian ows;
groundwork for enhancing trac light equipment with pre-
signals that will facilitate trac ow coordination; a new
approach to the introduction of the left-turning section
of signal control (Korchagin et al., 2015; Zhigadlo and
Dubynina, 2018);
new information on the specic ways in which the
driver (D) changes vehicle (V) steering safety; discovery
of reasons behind trac safety violations (Evtjukov and
Repin, 2015; Evtiukov et al., 2018);
a scientic and educational approach to determining
vehicle (V) service life; developed optimization algorithms
for the vehicle (V) maintenance and repair system (Domke
and Zhestkova, 2011; Kapitanov et al., 2018);
results of studying the transport and operating
conditions of roads (R), including the determination of a
dynamic pattern in braking and adhesion characteristics
of vehicle (V) wheels on the road surface at the stage of
road operation and reconstruction (Brannolte et al., 2017;
Novikov et al., 2019);
methods of analyzing RTA and creating RTA models
for the purpose of RTS improvement (Brannolte et al.,
2017; Evtjukov and Repin, 2015; Kurakina, 2014);
guidelines for conducting RTA expert analysis
and improving the assessment methods and methods
of examining vehicles involved in RTAs (including the
technical condition of the vehicle (V) and road (R)), RTA
BS study insights and suggestions for ecient RTS
assurance (Evtyukov and Vasilyev, 2012; Kurakina, 2014,
2018; Kurakina et al., 2018, Novikov et al., 2019; Rajczyk
et al., 2018).
However, the insights above were, to a certain extent,
localized to very specic elds. Therefore, they do not
provide tools for comprehensive qualitative assessment
of the procedure of studying RTA BS as a system. This
dictates a need for a systemic approach to improving the
Elena Kurakina, Sergei Evtiukov, Jarosław Rajczyk — Pages 56–62
POTENTIAL FOR IMPROVING THE PROCEDURE OF INSPECTING ROAD TRAFFIC ACCIDENT BLACK SPOTS
DOI: 10.23968/2500-0055-2020-5-3-56-62
58
RTA BS inspection procedure. The inspection is not only a
set of state analyses and measures targeting the TP-V-R-
EE system but also the result of those measures, namely
the reduction of the target parameter (RTA fatalities). The
main goal of RTA BS inspection is a comprehensive study
on the parameters that describe the condition of TP-V-
R-EE system elements through analytical, scientic and
methodological, computational, and diagnostic means.
The existing regulatory framework reects the
inspection procedure, but the ocially recommended
procedure of RTA BS study does not cover the entire set
of relevant factors, all the more so as RTA BS represent a
system, and, therefore, call for a comprehensive systemic
organization. The results of analyzing a large set of
statistical data show that the overwhelming majority of
RTAs in black spots are caused by trac safety violations;
nonetheless, the road infrastructure, coupled together
with external environmental conditions, does make its
own contribution to creating a hazardous situation, thus
increasing RTA risk or making RTA consequences more
severe. The regulatory framework that we referenced
above limits the opportunities for studying and analyzing
the causes of RTAs in black spots, which calls for a better
and more ecient RTA BS inspection methodology.
Subject, tasks, and methods
The subject of this study is RTA black spots.
The tasks of the study are as follows:
- assessing the need for studying a complete set of
RTA causes and factors in black spots;
- creating the elements of a comprehensive approach
to improving the RTA BS inspection procedure.
In order to complete these tasks, we used analytical
methods that were based on analyzing links, vectors, and
timescales, as well as RTS assessment methods that were
based on determining the safety and accident coecients
and pinpointing the RTA black spots, probability theory
methods, study result processing, and the computational
methods of information technology.
Results and discussion
Order of the Federal Road Agency (Rosavtodor)
No. 105-r dd. January 31, 2017 “On the Introduction of
Amendments in Industrial Road Guidance Document ODM
218.6.015 -2015 ‘Recommendations for Accounting and
Analysis of Road Accidents on the Roads of the Russian
Federation’, recommended for application according
to Order of the Federal Road Agency No. 853-r dd.
12.05.2015”, denes a “black spot” as a road/street section
not exceeding 1000 m outside a populated area and 200
m within a populated area, or a road/street intersection,
where three and more RTAs of the same type or ve and
more RTAs resulting in injuries or fatalities (regardless of
type) occurred during the reporting year. ODM 218.6.015-
2015 and ODM 218.4.004-2009 “Guidelines on Preventing
and Eliminating Road Trac Accident Black Spots During
Road Use” can be used as sources of recommendations
for analyzing RTA BS. They lack a coherent procedure
for inspecting RTA BS and the relevant objects that could
have revealed the links and interaction vectors within the
TP-V-R-EE system relevant to the black spot of each
specic RTA, while also accounting for the complete set
of causes and factors.
Studying the full set of RTA causes and factors in black
spots is essential for an appropriate assessment of the
RTS level in black spots and ecient RTS measures. In
order to achieve this, we must account for the parameter
groups created, and analyze them in the context of the
parameters’ characteristics, as well as the conditions of
using the parameters in the studies of systemic indicators
of the road infrastructure. Furthermore, we must refer to
road accident prediction methods (Kurakina et al., 2020).
An RTA BS is referred to as stable if the annual number of
accidents in the relevant road section does not uctuate
by more than one or two. If the above statement is true,
this points to certain persistent factors that aect the road
section; these include, rst and foremost, the parameters of
the road infrastructure in the actual RTA BS, as well as their
disadvantageous combination with the road infrastructure
parameters in adjacent road sections. We are proposing
a new, comprehensive approach to improving the RTA
BS inspection procedure (Fig. 2), based on the following:
the RTS state analysis, the TPA impact, the statistical
data on accident rates within the TP-V-R-EE system, the
factors and causes of hazardous trac conditions, the
developed algorithms of road infrastructure studies, RTA
BS, information technologies and communication links,
prediction methods, and study result processing.
Notably, the development of information systems
and technologies has had an impact on building ecient
communication links between TP and the executive
authorities responsible for improving trac safety. For
instance, in Saint Petersburg, TP are making an active
contribution to the development of the street and road
network (SRN); during their active use of certain SRN
segments, they spot their aws and report them via the
digital inquiries desk of the city Administration.
The aforementioned collaboration has allowed us to
include the “digital trac safety inquiries desk” block into
our comprehensive approach; however, it may also be
used as a separate element.
The practical application of research results (Evtiukov
and Vasilyev, 2012; Kurakina, 2014; Kurakina et al., 2017)
has resulted in greater expert evaluation quality and
accuracy, while also allowing for a downward shift of the
RTA BS target value. Our analysis of road accident rate
statistics, as well as the key systemic indicators that we have
singled out within the road infrastructure (Kurakina et al.,
2020) allow for an assessment of RTS measures’ eciency.
The comprehensive approach to improving the RTA
BS inspection procedure in the TP-V-R-EE system covers
the following:
assessment of the accident hazard scope by
means of statistically processing the number of RTAs that
resulted in injuries, and the severity of these injuries, and
contrasting the target values and indicators against the
reference years and similar periods;
evaluation and assessment of the TPA and the key
principles of achieving accident reduction in Russia over
the previous year;
the inclusion of: tools that help achieve the TPA
goals, the TPA scope, and the road infrastructure indicator
Architecture and Engineering Volume 5 Issue 3 (2020)
59
system; the comprehensive application thereof, coupled
with analytical methods and accident prediction system
methods; possibly, also the inclusion of the digital inquiries
desk at the organization responsible for trac safety.
The eciency of RTA BS inspection is dened by the
following factors:
the reference period for accident rate evaluation at
the road sections analyzed;
the use of scientic, analytical and computational
methods for analyzing and processing the data on road
infrastructure facilities’ parameters;
the use of diagnostic equipment for obtaining
accurate data on road infrastructure facilities’ parameters;
the validity of regulatory documents establishing
procedures for RTA BS inspection.
We recommend using two alternative criteria for
selecting sets of RTS measures at RTA BS:
whether or not the relevant measures have helped
meet target accident rate reduction value at a minimal
cost;
whether or not the relevant measures have helped
meet target minimal accident damage value at a minimal
cost.
As for deploying the measures aimed at reducing
accident rates in the conditions described, we recommend
a step-by-step approach.
The results of eciently applying the set of measures
include: nding inconsistencies between the layout and
features of the road infrastructure facilities and transport-
and-technical / technical-and-operating conditions, on
the one hand, and the current regulations and technical
specications, on the other hand; determining accident
causes and factors relevant to black spots; designing
impactful administrative solutions and measures for
Figure 2. Comprehensive approach to the improvement of the RTA BS inspection procedure
Elena Kurakina, Sergei Evtiukov, Jarosław Rajczyk — Pages 56–62
POTENTIAL FOR IMPROVING THE PROCEDURE OF INSPECTING ROAD TRAFFIC ACCIDENT BLACK SPOTS
DOI: 10.23968/2500-0055-2020-5-3-56-62
60
eliminating RTA BS (immediate and long-term) and priority
activities aimed at preventing the emergence of future RTA
BS (immediate and long-term); oering recommendations
on mandatory measures aimed at sustaining the necessary
road quality level, in line with the current regulations and
technical specications.
Conclusions
The organization of work to identify and eliminate RTA
BS is a signicant resource for reducing road accident
rates and improving RTS. Studying a set of causes and
fact causes and factors that dene RTAs in black spots is
founded on a qualitative assessment of the RTS level and
accident trends in black spots, as well as on the opportunity
to conduct a comprehensive study that accounts for the full
set of RTA causes and factors. The use of a comprehensive
approach to improving the RTA BS inspection procedure
is a non-binding recommendation, and the inspection
approaches that we have used highlight the potential for
further improvement.
Architecture and Engineering Volume 5 Issue 3 (2020)
61
References
Brannolte, U., Chubukov, A., Kapitanov, V., Monina, O. and Silyanov, V. (2017). Simulation of regional mortality rate in road
accidents. Transportation Research Procedia, 20, pp. 112–124. DOI: 10.1016/j.trpro.2017.01.031.
Domke, E. R. and Zhestkova, S. A. (2011). Probabilistic model brakes wheeled vehicles. The World of Transport and Technological
Machinery, 2, pp. 3–7.
Evtiukov, S., Karelina, M., Terentyev, A. (2018). A method for multicriteria evaluation of the complex safety characteristic of a road
vehicle. Transportation Research Procedia, 36, pp. 149–156. DOI: 10.1016/j.trpro.2018.12.057.
Evtiukov, S. A. and Vasilyev, Ya. V. (2012). Road accidents: investigation, reconstruction, expert examination. Saint Petersburg:
Publishing House DNK, 392 p.
Evtjukov, S. and Repin, S. (2015). Renewal methods of construction machinery according to technical and economic indicators.
Applied Mechanics and Materials, 725–726, pp. 990–995. DOI: 10.4028/w ww.scientic.net/AMM.725-726.990.
Kapitanov, V., Silyanov, V., Monina, O. and Chubukov, A. (2018). Methods for trac management eciency improvement
in cities. Transportation Research Procedia, 36, pp. 252–259. DOI: 10.1016/j.trpro.2018.12.077.
Korchagin, V. A., Lyapin, S. A., Klyavin, V. E. and Sitnikov, V. V. (2015). Improving trac safety based on emergency analysis and
road accident emulation. Fundamental Research, 6, pp. 251–256.
Kravchenko, P. A. and Oleshchenko, Ye. M. (2015). Concept of complete observability in systems preventing road trac injuries.
Transport of the Russian Federation, Special Issue, pp. 25–31.
Kravchenko, P. A. and Oleshchenko, Ye. M. (2018). Systemic approach to managing trac safety in the Russian Federation.
Transport of the Russian Federation, 2, pp.14–18.
Kurakina, E. V. (2014). Scientic and methodological support of vehicle exper t examination taking into account the technical
condition of the vehicle and road environment. PhD Thesis in Engineering. Saint Petersburg: Saint Petersburg State University
of Architecture and Civil Engineering.
Kurakina, E. V. (2018). On the eectiveness of studies carried out at places of road trac accident concentration. Bulletin of Civil
Engineers, 2, pp. 231–237. DOI: 10.23968/1999-5571-2018-15-2-231-237.
Kurakina, E., Evtiukov, S. and Ginzburg, G. (2020). Systemic indicators of road infrastructure at accident clusters. Architecture
and Engineering, 5 (1), pp. 51–58. DOI: 10.23968/2500-0055-2020-5-1-51-58.
Kurakina, E. V., Evtiukov, S. S. and Golov, E. V. (2017). Reconstruction of road accidents: monograph. Saint Petersburg:
Petropolis Publishing House, 204 p.
Kurakina, E., Evtiukov, S. and Rajczyk, J. (2018). Forecasting of road accident in the DVRE system. Transportation Research
Procedia, 36, pp. 380–385. DOI: 10.1016/j.trpro.2018.12.111.
Novikov, I. A., Kravchenko, A. A., Shevtsova, A. G. and Vasileva, V. V. (2019). Scientic-methodological approach to reduce
accidents on the roads of the Russian Federation. World of Transport and Technological Machines, 3, pp. 58–64. DOI:
10.33979/2073-7432-2019-66-3- 58-64.
Rajczyk, P., Kurakina, E. and Knapiński, M. (2018). The inuence of surface topography on the safety of road and utility surfaces.
Transportation Research Procedia, 36, pp. 640648. DOI: 10.1016/j.trpro.2018.12.139.
State Duma of the Russian Federation (1995). Federal Law No. 196-FZ “On Road Trac Safety” dd. December 10, 1995
(as amended on December 27, 2018).
Zhigadlo, A. P. and Dubynina, M. G. (2018). Inuence of the psychophysiological traits of drivers on safe driving. Vestnik
Sibirskogo Otdeleniya Akademii Voennykh Nauk, 49, pp. 119–130.
Elena Kurakina, Sergei Evtiukov, Jarosław Rajczyk — Pages 56–62
POTENTIAL FOR IMPROVING THE PROCEDURE OF INSPECTING ROAD TRAFFIC ACCIDENT BLACK SPOTS
DOI: 10.23968/2500-0055-2020-5-3-56-62
62
ПОТЕНЦИАЛ СОВЕРШЕНСТВОВАНИЯ МЕХАНИЗМА АУДИТА МЕСТ
КОНЦЕНТРАЦИИ ДТП
Елена Владимировна Куракина1*, Сергей Аркадьевич Евтюков1, Ярослав Райчык2
1Санкт-Петербургский государственный архитектурно-строительный университет
2-ая Красноармейская ул., 4, Санкт-Петербург, Россия
2Ченстоховский политехнический институт
Домбровского ул., 69, Ченстохова, Польша
*E-mail: elvl_86@mail.ru
Аннотация
Обоснована необходимость совершенствования механизма аудита мест концентрации дорожно-
транспортных происшествий (МК ДТП). Потенциал совершенствования заключается в приеме учета
механизмов достижения результатов программно-целевого подхода и направления их реализации, системы
индикаторов дорожной инфраструктуры, инструментов информационных технологий. Разработанная система
индикаторов дорожной инфраструктуры в комплексном применении с аналитическими методами и методами
системы прогнозирования аварийности позволяет оценить мероприятия, направленные на сокращение числа
ДТП. Прием учета инструмента информационных технологий и систем - электронной приемной организации
безопасности дорожного движения необходим для разработки системной организации и управления уровнем
безопасности дорожного движения (БДД). Цель исследования: Разработка подхода к совершенствованию
механизма аудита мест концентрации ДТП. Методы: Системный анализ, аналитические методы, методы оценки
БДД на основе выявления коэффициентов безопасности и аварийности, выявления мест концентрации ДТП,
методы теории вероятности и обработки результатов исследования, программно-вычислительные методы
информационных технологий. Результаты: Обоснована эффективность комплексного подхода к исследованию
мест концентрации ДТП в системе «участник дорожного движения – транспортное средство-дорога-внешняя
среда». Обосновано применение группы показателей в системе их параметрических характеристик и условий
использования для исследования системообразующих индикаторов дорожной инфраструктуры. Определены
возможности аналитических методов, методов прогнозирования дорожной аварийности для разработки
подхода к совершенствованию механизма аудита мест концентрации ДТП. Предложен комплексный подход
совершенствования механизма аудита МК ДТП.
Ключевые слова
Автомобильная дорога, дорожно-транспортные происшествия, безопасность дорожного движения, место
концентрации ДТП, аудит.
Architecture and Engineering Volume 5 Issue 3 (2020)
... However, it is possible to indicate places within the road infrastructure, where there is an increased risk of adverse events [5]. These places, depending on the research methodology, are defined as high-risk zones [6], danger zones [7], black sections, black spots [8][9][10], etc. ...
Article
Full-text available
Increased demand for transport services and increased mobility of citizens can lead to a reduction in the level of reliability of transport systems. This in turn increases the demand for ways to assess the reliability of road infrastructure by both transport companies and individual users. The article presents the substantive basis of an application used to determine the reliability of transport infrastructure. Our approach was based on grouping information into clusters – based on the author’s proprietary clustering method. Its basis is the detailed analysis of the road infrastructure in terms of errors occurring on it, divided into conceptual, design and operational errors. The methodology consists of three stages of clustering (1) creating a database of sections with assigned errors, (2) determining the initial clusters, (3) creating a final database of clusters, and then assessing the reliability of the road infrastructure of the transport system on their basis. The assumption is that the application will remain open-ended – i.e. the database will be developed by users. The proposed methodology was verified on the example of the selected route in Poland (between Kalisz and Szczecin). Based on the results obtained during the experiment on the selected route, errors in the road infrastructure were determined. This, in turn, allowed us to find that there are a number of errors in the road infrastructure, including errors with a high frequency of occurrence i.e. the so-called permanent errors, which further confirms the need to create an application to assess the reliability of the road infrastructure.
... Then, they integrated Internet of Things (IoT) components into the vehicle to reduce the vehicle's speed and modified the application to control the accelerometer and offer voice notifications. Kurakina et al. (2020) aimed to find a novel methodology for enhancing the process of identification of ABSs utilizing IT computational methods, probability theory methods, and research results processing. They suggested a comprehensive method to improve ABS identification process. ...
Article
Full-text available
The aim of changing the causes and consequences of traffic accidents, preventing possible human deaths, and providing more comfortable navigational safety is a common situation especially in the highway sections of our country where traffic accidents occur mortally. In the study, the concept of the forgiving road, which was brought to the agenda of our country by the General Directorate of Highways (KGM) in 2013 and still has problems in implementation, was examined. Investigations have been made on the highway sections where the same type of accidents occur frequently, and it has been emphasized how these highway sections can be forgiving roads. A correct and planned road design or improvement directly contribute to a dramatic reduction in accident rates. In this context, two accident black points that need improvement in 2016 within KGM and one point with the potential to become an accident black point were determined. Considering the forgiving road design features based on a total of three highway sections, on-site investigations were made, and recommendations were made.
... A well-maintained road transportation infrastructure is critical for the seamless and rapid movement of goods across the supply chain (Jimenez-Delgado et al.,2019). Compliance with legal requirements, such as transportation rules, licensing, and safety standards, alternatively, guarantees that the positive effects of a well-functioning infrastructure are utilized completely (Elena et al.,2020) Compliance with rules and regulations reduces risks, avoids delays caused by penalties or legal concerns, and assures the safe and secure movement of commodities . Maintaining legal compliance strengthens the link between road transportation infrastructure and supply chain performance, resulting in greater operational efficiency, fewer interruptions, and more customer satisfaction (Pal et al., 2019). ...
Article
Full-text available
Purpose: Despite the growth of literature on SC performance drivers, there is still limited attention on how road transport infrastructure may drive SC performance. This study is conducted to examine the mediating role of road safety compliance in the relationship between road transport infrastructure and SC performance among manufacturing firms in emerging economies. Design/methodology/approach: Drawing from the system and knowledge-based view perspectives, a framework was proposed and validated using survey data from the beverage manufacturing firms in Ghana. Data were gathered from 359 managers of firms in Ghana. The model was validated by PLS-SEM. Findings: The results showed a direct significant relationship between road transport infrastructure, road safety compliance, and SCP. The findings further revealed that the influence of road transport infrastructure on SCP is not just a bivariate relationship but also mediated through road safety compliance. The outcome of this study provides evidence that though road transport infrastructure remains crucial to driving SCP, superior SCP could be achieved in the presence of road safety compliance. Originality/value: The outcome of this study offers an important extension to the frontiers of literature on supply chain performance. It also provides practical insight to practitioners in the manufacturing setting by emphasizing the need to pay crucial attention to road safety compliance as well as invest in road infrastructure development in the quest to achieve efficient SC performance of firms.
... A well-maintained road transportation infrastructure is critical for the seamless and rapid movement of goods across the supply chain (Jimenez-Delgado et al.,2019). Compliance with legal requirements, such as transportation rules, licensing, and safety standards, alternatively, guarantees that the positive effects of a well-functioning infrastructure are utilized completely (Elena et al.,2020) Compliance with rules and regulations reduces risks, avoids delays caused by penalties or legal concerns, and assures the safe and secure movement of commodities . Maintaining legal compliance strengthens the link between road transportation infrastructure and supply chain performance, resulting in greater operational efficiency, fewer interruptions, and more customer satisfaction (Pal et al., 2019). ...
Article
Full-text available
O presente trabalho analisa os efeitos decorrentes do Princípio da Intervenção Mínima, essência da Lei n. 13.467/2017 (Reforma Trabalhista), nos direitos trabalhistas fundamentados na ordem econômica e social, prescritas nos artigos 170 e 193, respectivamente, da Constituição brasileira. Assim, analisa de que modo o referido princípio está em consonância com o interesse coletivo e valores constitucionais de inclusão e sustentabilidade social. Para tanto, a estratégia teórica utilizada passa por uma investigação histórica acerca do desenvolvimento e evolução da concepção de Estado e a(s) consequência(s) de sua, necessária, função intervencionista. Para tanto, foi utilizado o método dedutivo-dialético, pelo qual se analisou textos constantes de livros, artigos e publicações jurídicas no geral, abordando o referido tema. Concluiu-se pela necessidade em se manter o papel intervencionista e regulador, assumido pelo Estado brasileiro, com a finalidade de assegurar e garantir cultura em torno do respeito aos fundamentos e princípios da ordem econômica e da ordem social, na medida em que são objetivos, constitucionalmente positivados, da República Federativa do Brasil.
Preprint
Full-text available
Increased demand for transport services and increased mobility of citizens can lead to a reduction in the level of reliability of transport systems. This in turn increases the demand for ways to assess the reliability of road infrastructure by both transport companies and individual users. The article presents the substantive basis of an application used to determine the reliability of transport infrastructure. Our approach was based on grouping information into clusters – based on the author's proprietary clustering method. Its basis is the detailed analysis of the road infrastructure in terms of errors occurring on it, divided into conceptual, design and operational errors. The methodology consists of three stages of clustering (1) creating a database of sections with assigned errors, (2) determining the initial clusters, (3) creating a final database of clusters, and then assessing the reliability of the road infrastructure of the transport system on their basis. The assumption is that the application will remain open-ended – i.e. the database will be developed by users. The proposed methodology was verified on the example of the selected route in Poland (between Kalisz and Szczecin). Based on the results obtained during the experiment on the selected route, errors in the road infrastructure were determined. This, in turn, allowed us to find that there are a number of errors in the road infrastructure, including errors with a high frequency of occurrence i.e. the so-called permanent errors, which further confirms the need to create an application to assess the reliability of the road infrastructure.
Article
Full-text available
This study primarily based totally on the road safety and specified observe of black spot. National highways represent a considerable percentage of these accidents, especially during the massive economic loss and exaggerates the development of the country. Basically the main aim of this paper is to Identify the black spot and more elaborated study for Analysis of Black Spots and its Rectification on the basis of traffic survey i.e. by Turning Movement Count survey. This study includes different approaches and methods that are used for Selection of particular study stretch i.e. NH-27, firstly collection of accident data and then we split down the data for better observation for the analysis of black spot also we throw light on the causes which are responsible for accident on the basis of ASI (Accident severity index). Also, it consists of a few strategies which might be used to profile those accident places and the usage of earlier than and after research to estimate the impact of remedy at the Black spots or dark spot on highway. This paper concludes the rectification methodology based on short term measurements, long term measurements, mitigation measures or geometric design improvement which depend on existing road conditions
Chapter
Full-text available
This paper presents some experimental applications using intelligent systems such as sensors, controller, robotic systems, and crane systems. A Mobile robot design, path planning, and applications in real-time is proposed for blind people. A proposed A* algorithm is used for path planning of the mobile robot. Moreover, an image processing structure predicts the path without touching obstacles. An industrial robot is used with image processing to classify universal materials. On the other hand, a new walking performance six-legged mobile robot control is proposed to analyze the stability and walking conditions of the robot by using an open dynamic engine solution. Furthermore, a designed and controlled crane system is proposed for vibration and amplitude analysis of the double bridge crane system. On the system, a prosed neural predictor is used to analyze performance. Analysis and control of the welding position of an industrial robot are also utilized to compare with operator-based welding process structure. The results improved that all the proposed analyze has superior performance in real-time applications for all approaches.KeywordsIntelligent systemsRobotic systemPath planningCrane systemsR&D investmentProduct innovation
Chapter
The uncertainty of today’s globalized economy requires prompt responses by companies, responding to rapid changes in customer demand. The last thing a company wants is an inflexible production system that cannot respond quickly. Companies’ situation largely depends on reacting promptly to changing customer requirements. Of course, all these activities must also generate some profit for society. In achieving its objectives, the company must pay particular attention to reducing production costs. Therefore, improving production processes is becoming increasingly important. The improvement consists in identifying and eliminating losses that occur in production. Managing and improving business processes is a regular part of a successful company, no matter which segment the company operates. With increasing competition in a market economy, it is essential to optimize production processes. The textile market is oversaturated, supply exceeds demand, and companies have to put an even bigger stop on streamlining internal processes. It is mainly a matter of eliminating waste from various sources and does not add value for consumers’ willingness to pay. This paper aims to use selected lean manufacturing tools to minimize inefficient work activities and time losses.KeywordsLean toolsManufacturingEfficiencyProduction processIndustrial innovation
Article
Full-text available
Introduction: To study road infrastructure and ensure control over its changes during its use, it is required to introduce a concept of indicator, which is a parameter or characteristic of road infrastructure facilities’ state. Studies on road infrastructure indicators are aimed at traffic safety increase, improvement of a system for road accident forecasting. The authors apply a system for the accounting of road infrastructure facilities’ characteristics, set during the design and construction of roads, to forecast road accidents. Purpose of the study: The authors develop an approach to studying the influence of systemic indicators of road infrastructure at accident clusters on traffic safety. Methods: During the study, such methods as system analysis, extrapolation method, method of forecasting with account for seasonality, and method of repetition were used. Results: The authors analyzed statistical data on the road accident rate and identified significant systemic indicators of road infrastructure to assess the efficiency of road and construction measures aimed at traffic safety assurance. They formed groups of indicators in the system of their parametric characteristics and determined conditions of their use to study systemic indicators of road infrastructure. They also determined the capabilities of methods used to forecast the road accident rate to develop an algorithm to analyze road infrastructure at accident clusters. The authors also developed such an algorithm to analyze road infrastructure at accident clusters.
Article
Full-text available
Methods of forecasting of road accidents in the Driver – Vehicle – Road – Environment (DVRE) system are suggested. The statistical method of forecasting made it possible to evaluate the influence of various factors on the accident rate, resulting in evaluation of efficiency of the proposed measures to improve road safety. The visual method of conflict situations enabled obtaining information on the interaction of the state parameters of subsystems. The methods of potential danger allowed obtaining actual and predicted factors of road accident risks and fatalities in road accidents on the road section under study. The changes in accident rates after implementation of road safety measures have been assessed. An integrated approach to efficient examination of places of concentration of road traffic accidents with account of methods of accident prediction is offered.
Article
Full-text available
A methodology for traffic management in cities provides for extensive use of computer technologies. Modern international experience shows that traffic management in the urban street and road network, first of all, requires a city-wide management system (intelligent transportation system, ITS). Development of a social process model is a complicated task that can be solved under rather severe restrictions. Therefore, most traffic management tasks are not formalized but solved empirically. Two basic approaches to development of network mathematical models of traffic flows, based on a set of analytical models and on microlevel simulation models, are considered by the authors. Capabilities of various software tools that allow performing modeling are reviewed. As a result, a method for forecasting network control actions affecting traffic flows, based on a piecewise-constant approximation of a traffic flow intensity function of time, is suggested. An example of forecasting control actions (cycle shifts) to ensure coordinated control on highways is given. The suggested approach to modeling of traffic flows in cities is rather simple and efficient. Therefore, it can be of practical interest and can be used when forecasting network control actions in intelligent transportation systems, including in real time and for congested sections of the street-and-road network.
Article
Full-text available
The paper presents the relationships between the topography parameters of the usable and mineral surfaces abrasive surface, obtained in various technological processes. Surface properties determine the safety of their use and the main parameters of surface topography are roughness and waviness. The basic use properties include, surface roughness and the associated coefficient of friction, expressed by the coefficient of adhesion of the vehicle wheels to the surface. Practical examples of shaping of stereometric features of surfaces with specific use properties as well as friction coefficient and wheel adhesion values as well as the generated noise intensity depending on roughness, for different types of road surfaces under different operating conditions.
Article
Full-text available
During the recent years, car makers intensively develop and implement systems of active, passive, post-accident, environmental and fire safety of road vehicles. These devices and systems improve the safety but complicate the design and increase the cost of maintaining the vehicle in the operative condition. That is why there is necessity to evaluate the road vehicle as to the efficiency of operation regarding a number of complex safety characteristics. Solution to this task should be based on evaluating the (relative) importance of particular values for every characteristic considered to be a separate criterion of safety. In order to do that, we need to formulate a system of values for safety characteristics of the road vehicle and develop a formalized mechanism to assess the relative importance of every criterion in the form of a method for multi-criteria evaluation of the complex characteristic of road vehicle safety.
Article
Full-text available
The paper gives the results of scientific research, which, being based on probabilistic and statistical modeling, identifies the relationship of certain socio-economic factors and the number of people killed in road accidents in the Russian Federation regions. It notes the identity of processes in various fields, in which there is loss of life. Scientific methods and techniques were used in the process of data processing and study findings: systematic approach, methods of system analysis (algorithmization, mathematical programming) and mathematical statistics. The scientific novelty lies in the formulation, formalization and solving problems related to the analysis of regional road traffic accidents, its modeling taking into account the factors of socio-economic impact.
Article
Full-text available
This article presents the results of an investigation for a new method to form sets of construction machinery. The model for optimizing the set of construction machinery implies the possibility to consider the following: the influence of the quality of operation onto the technical state of the machinery, which is characterized by the readiness factor; costs and reliability of the purchased equipment, new and the used one; influence of capital overhauls; selling machinery and purchasing new one at a higher price; decommissioning old equipment; accompanying economical losses, which is a concealed form of insuring against insufficient reliability of the equipment; optimizing the service life along several criteria – minimum investment, maximum profit, specified level of reliability, period of repayment. This method for optimizing the age structure of the construction machinery set is based on using the method of linear programming. Practical recommendations are also included.