System Approach to Ensuring the Safety of Modern Vehicles

Improving road safety is a priority worldwide. A systematic approach can reduce accidents and injuries, since various resources and methods of solving the problem are involved. The purpose of the article was to establish a relationship between violations and road accidents. To identify the factors affecting the probability of accidents and the severity of their consequences, an analysis of real statistics on violations and road accidents was used. It was found that the city planning decision and its size affect the specifics of traffic control. A developed events to improve road safety is presented, systematized in a modified Haddon matrix, in which, in addition to traditional groups of factors (human, vehicle, environmental factors), a new factor is added information technology or artificial intelligence. It was noted that feedback was needed to ensure the effectiveness of the recommended events. That is re-analysis of next period statistics, assessment of changes and adjustment of Haddon matrix, by eliminating ineffective measures and replacing them with others.

[1]  Michael Porter,et al.  Evaluation of VDOT's Safety Service Patrols to Improve Response to Incidents , 2019, 2019 Systems and Information Engineering Design Symposium (SIEDS).

[2]  Polina Buyvol,et al.  Road Safety Analysis from a Viewpoint of Influencing Factors , 2019, 2019 12th International Conference on Developments in eSystems Engineering (DeSE).

[3]  Vladimir Shepelev,et al.  Real-time monitoring of traffic parameters , 2020, J. Big Data.

[4]  Vladimir Shepelev,et al.  Identification of distinguishing characteristics of intersections based on statistical analysis and data from video cameras , 2020, Journal of Big Data.

[5]  W. Dorner,et al.  Warning Apps for Road Safety: A Technological and Economical Perspective for Autonomous Driving – The Warning Task in the Transition from Human Driver to Automated Driving , 2021, Int. J. Hum. Comput. Interact..

[6]  W. Haddon,et al.  Options for the prevention of motor vehicle crash injury. , 1980, Israel journal of medical sciences.

[8]  Paul Rad,et al.  Driverless vehicle security: Challenges and future research opportunities , 2020, Future Gener. Comput. Syst..

[9]  M. Jaśkiewicz,et al.  Child restraint systems: Problems related to the safety of children transported in booster seats (without integral safety belts) , 2018, 2018 XI International Science-Technical Conference Automotive Safety.

[10]  Mario Paparo,et al.  RF design and technology supporting Active Safety in automotive applications , 2013, 2013 IEEE 10th International Conference on ASIC.

[11]  K. Goniewicz,et al.  Road accident rates: strategies and programmes for improving road traffic safety , 2016, European Journal of Trauma and Emergency Surgery.

[12]  Vladimir Shepelev,et al.  The Capacity of the Road Network: Data Collection and Statistical Analysis of Traffic Characteristics , 2020 .

[13]  L M Martinussen,et al.  How indicative is a self-reported driving behaviour profile of police registered traffic law offences? , 2017, Accident; analysis and prevention.

[14]  Irina Makarova,et al.  Improving safety on the crosswalks with the use of fuzzy logic , 2018 .

[15]  Vladimir Shepelev,et al.  Procedure for Calculating On-Time Duration of the Main Cycle of a Set of Coordinated Traffic Lights☆ , 2017 .

[16]  E. Mukhametdinov,et al.  Search and Optimization of Factors to Improve Road Safety , 2020 .

[17]  Irina Makarova,et al.  Application of the Situational Management Methods to Ensure Safety in Intelligent Transport Systems , 2017, VEHITS.

[18]  Roberto Sacile,et al.  A system of systems approach to evaluate at-risk human behaviour in the transport by road , 2015, 2015 IEEE International Symposium on Systems Engineering (ISSE).

[19]  J. Pucher,et al.  The growing gap in pedestrian and cyclist fatality rates between the United States and the United Kingdom, Germany, Denmark, and the Netherlands, 1990–2018 , 2020 .

[20]  J. Doran,et al.  COVID-19, social distancing, remote work and transport choice , 2020 .

[21]  Y. Rizaeva,et al.  Models for Ensuring the Minimum Arrival Time of Accident Response Services in Intelligent Transportation and Logistics System , 2020, Summa.

[22]  Dongfang Ma,et al.  Drivers' Phone Use Behavior at Red Traffic Signals , 2019 .

[23]  Rifat Khabibullin,et al.  Increase of City Transport System Management Efficiency with Application of Modeling Methods and Data Intellectual Analysis , 2016 .

[24]  Polina Buyvol,et al.  Association Rules to Identify Factors Affecting Risk and Severity of Road Accidents , 2020, VEHITS.

[25]  Monitoring Progress in Urban Road Safety , 2020, International Transport Forum Policy Papers.

[26]  Chun-Chia Hsu,et al.  Motorcycle Riding Safety Education with Virtual Reality , 2018, 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR).