THE EVALUATION OF ROAD INFRASTRUCTURE FOR SELF-DRIVING VEHICLES

Author:

Kondratovič Vladislav1ORCID,Čygas Donatas1ORCID,Juodvalkienė Edita1ORCID

Affiliation:

1. Vilniaus Gedimino technikos universitetas, Vilnius, Lietuva

Abstract

The article deals with the problems of the use of self-driving vehicles (SDV) on public the adaptation of road infrastructures well as with, the necessity and objectives of assessment, and the experience of foreign countries in this field. The main factors influencing for SDV were analyzed. An evaluation model of infrastructure adaptation for SDV has been developed, allowing rational planning and selection of the most appropriate selfdriving public transport routes. In order to efficiently integrate SDV into transport systems, it is recommended to evaluate the potential route alternatives using the SAW method and also to use the efficiency indicators proposed in the thesis and their significance. After analyzing the theoretical and practical aspects of road infrastructure adaptation for SDV conclusions and suggestions are given.

Publisher

Vilnius Gediminas Technical University

Subject

Ocean Engineering

Reference21 articles.

1. Atkins. (2016). Research on the impacts of connected and autonomous vehicles (CAVs) on traffic flow. Stage 2: Traffic modelling and analysis technical report. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/530093/impacts-of-connected-and-autonomous-vehicles-on-traffic-flow-technical-report.pdf

2. Berger, R. (2014). Autonomous driving. https://www.rolandberger.com/en/Publications/Autonomous-driving.html

3. Autonomous driving in urban environments: approaches, lessons and challenges

4. European Commission. (2016). A European strategy on Cooperative Intelligent Transport Systems, a milestone towards cooperative, connected and automated mobility (COM) 2016. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52016DC0766

5. Daugiakriterinio vertinimo b#363;dų suderinamumas

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