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Station Extension Algorithm Considering Destinations to Solve Illegal Parking of E-Scooters

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2023, 28(2), pp.131-142
  • DOI : 10.9708/jksci.2023.28.02.131
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : January 26, 2023
  • Accepted : February 14, 2023
  • Published : February 28, 2023

Jeongeun Song 1 Yoon-Ah Song 1 ZoonKy Lee 2

1연세대학교
2연세대학교 정보대학원

Accredited

ABSTRACT

In this paper, we propose a new station selection algorithm to solve the illegal parking problem of shared electric scooters and improve the service quality. Recently, as a solution to the urban transportation problem, shared electric scooters are attracting attention as the first and last mile means between public transportation and final destinations. As a result, the shared electric scooter market grew rapidly, problems caused by electric scooters are becoming serious. Therefore, in this study, text data are collected to understand the nature of the problem, and the problems related to shared scooters are viewed from the perspective of pedestrians and users in ‘LDA Topic Modeling’, and a station extension algorithm is based on this. Some parking lots have already been installed, but the existing parking lot location is different from the actual area of tow. Therefore, in this study, we propose an algorithm that can install stations at high actual tow density using mixed clustering technology using K-means after primary clustering by DBSCAN, reflecting the ‘current state of electric scooter tow in Seoul’.

Citation status

* References for papers published after 2023 are currently being built.