A model for justification of the number of traffic enforcement facilities in the region

The paper reviews current issues related to introduction of automated traffic enforcement systems into the road infrastructure to perform impartial monitoring of vehicle operation. Mathematical formalizations of street and road network equipment with automated traffic enforcement systems (ATES) upon implementation of administrative procedures for traffic control are proposed. Quantitative indicators related to provision of Russian regions with traffic enforcement facilities are justified. A probability measure of the influence of ATES availability on traffic with account for their operating features and a developed model for interaction of smart on-board transportation management systems (SOBTMS) with automated traffic enforcement facilities is determined. It will allow ensuring the efficiency of land transport and improving traffic safety due to extension of ATES functional capabilities. A hypothesis for the influence of the number of orders on traffic violations on the accident rate is indicative of a relation between the number of road accidents and ATES parameters. Therefore, an estimate of prospects for development of a system improving traffic safety to the maximum extent can be based on an estimate of changes in the number of vehicles in a region and corresponding calculations of the required number of ATES including stationary and temporary facilities. Using a certain ATES quantity, one could achieve reduction of the accident rate to a certain level. However, extensive measures affecting all life spheres are needed. Conceptual approaches to justification of the number of ATES in the street and road network are formulated. Criteria determining efficient functioning of ATES in the street and road network are identified. Implementation of the proposed solutions will allow improving traffic safety in regions of the Russian Federation due to efficient use of ATES for detection of administrative offenses in automobile transport.

Language

  • English

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Filing Info

  • Accession Number: 01692595
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Feb 12 2019 9:09PM