@inproceedings{851798422f93415f8cb03bdb5daca7e8,
title = "Real-time Path Planning Algorithm for Scooters in Urban Traffic Environments with the Hook-Turn Constraint",
abstract = "An illegal parking detection system is designed based on scooters' trajectories to identify illegally parked vehicles on the roads. If the trajectories of an area contain more irregular lane switching behavior, the possibility of illegal parking in the area becomes higher. The system has been implemented successfully with the Simulation of Urban MObility (SUMO) simulator. The simulation results show that the system achieves 90.28% of accuracy for detecting illegally parked vehicles. ",
author = "Xu, {Dai Yan} and Chang, {Yu Jung} and Ssu, {Kuo Feng}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021 ; Conference date: 10-12-2021 Through 12-12-2021",
year = "2021",
doi = "10.1109/ICEIB53692.2021.9686413",
language = "English",
series = "2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "217--220",
editor = "Teen-Hang Meen",
booktitle = "2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021",
address = "United States",
}