Autonomous driving parking robot systems for urban environmental benefit evaluation

Minje Choi, Gayoung Kang, Seungjae Lee

Research output: Contribution to journalArticlepeer-review

Abstract

Many countries are now taking environmental issues seriously and working towards neutral. Therefore, this study aims to reduce carbon emissions by suggesting ways to reduce the use of passenger cars and induce the use of public transportation and walking modes. To this end, a valet parking robot system was designed in a transfer car park outside Seoul. The effect of the system was quantified. By implementing the valet parking robot system in the transfer parking lots, the time to find a parking space and the time to park after finding a parking space are reduced when using existing parking lots. In other words, the valet parking robot system can reduce out-of-vehicle time, and the reduction in travel time can induce a modal shift from existing car users to public transport. Furthermore, by reducing the number of cars in the city center, vehicle kilometer traveled(VKT) will be reduced, and the emission of pollutants that cause air pollution will also be reduced due to less traffic on public roads in the city center. This study analyzes this quantitatively and concludes that the implementation of a valet parking robot system can have a positive environmental impact.

Original languageEnglish
Article number143215
JournalJournal of Cleaner Production
Volume469
DOIs
StatePublished - 1 Sep 2024

Keywords

  • Autonomous driving parking robot
  • Environmental benefits
  • Parking time
  • Public transportation policy
  • Reduction car emissions

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