Advanced technologies of international cargo correspondence in railway transport

Abstract

The technologies of formation of transportation documents and preliminary informing in the international traffic are the primary directions of improvement of information technologies of interstate transfer points both for the information systems of state control and regulation and for the information systems of the subjects of transportation services. In the railway transport system of the Russian Federation the model of formation of transportation documents and preliminary information has a number of distinctive features from the existing model of the world practice. The article analyzes and determines the possibility of development and interaction of information systems of state authorities, owners and consumers of transport services in a single information space, methods of their consolidation and integration into international transport corridors. Automation of technological operations on processing of transport documents and preliminary informing by creation and introduction of innovative developments in the field of management of process of technological interaction of participants of transport - providing services is considered. The automated system of processing of transportation documents for imported cargo with barcoding and the automated system of informing cargo owners about the approaching expiration date of the phytosanitary certificate are presented and proposed for use at the interstate junction points. The proposed information systems improve and optimize these technologies, accelerate trade turnover and ensure the implementation of projects for the development of a common information space in the segment of international traffic and the development of transport international relations in general. The systems have undergone states registration.

Documents Issuance Validation Using 2d Barcode

“…Barcodes are widely used nowadays and it is a basic or supportive technique. barcodes have been used almost everywhere, including transportation (Taufik et al, 2021;Zubkov & Sirina, 2020), government (CHEN et al, 2021), manufacturing (Schuitemaker & Xu, 2020), marketing (Zhou et al, 2021), retail business, and automotive business (Rivera et al, 2021).…”