Real-time Path Planning Algorithm for Scooters in Urban Traffic Environments with the Hook-Turn Constraint

Dai Yan Xu; Yu Jung Chang; Kuo Feng Ssu

doi:10.1109/ICEIB53692.2021.9686413

Real-time Path Planning Algorithm for Scooters in Urban Traffic Environments with the Hook-Turn Constraint

Dai Yan Xu
, Yu Jung Chang
, Kuo Feng Ssu

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021
Editors	Teen-Hang Meen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	217-220
Number of pages	4
ISBN (Electronic)	9781665437554
DOIs	https://doi.org/10.1109/ICEIB53692.2021.9686413
Publication status	Published - 2021
Event	2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021 - Yilan, Taiwan Duration: 2021 Dec 10 → 2021 Dec 12

Publication series

Name	2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021

Conference

Conference	2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021
Country/Territory	Taiwan
City	Yilan
Period	21-12-10 → 21-12-12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Hardware and Architecture
Information Systems
Information Systems and Management
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ICEIB53692.2021.9686413

Cite this

Xu, D. Y., Chang, Y. J., & Ssu, K. F. (2021). Real-time Path Planning Algorithm for Scooters in Urban Traffic Environments with the Hook-Turn Constraint. In T.-H. Meen (Ed.), 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021 (pp. 217-220). (2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEIB53692.2021.9686413

Xu, Dai Yan ; Chang, Yu Jung ; Ssu, Kuo Feng. / Real-time Path Planning Algorithm for Scooters in Urban Traffic Environments with the Hook-Turn Constraint. 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021. editor / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 217-220 (2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021).

@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",

}

Xu, DY, Chang, YJ & Ssu, KF 2021, Real-time Path Planning Algorithm for Scooters in Urban Traffic Environments with the Hook-Turn Constraint. in T-H Meen (ed.), 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021. 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021, Institute of Electrical and Electronics Engineers Inc., pp. 217-220, 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021, Yilan, Taiwan, 21-12-10. https://doi.org/10.1109/ICEIB53692.2021.9686413

Real-time Path Planning Algorithm for Scooters in Urban Traffic Environments with the Hook-Turn Constraint. / Xu, Dai Yan; Chang, Yu Jung; Ssu, Kuo Feng.
2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021. ed. / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2021. p. 217-220 (2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Real-time Path Planning Algorithm for Scooters in Urban Traffic Environments with the Hook-Turn Constraint

AU - Xu, Dai Yan

AU - Chang, Yu Jung

AU - Ssu, Kuo Feng

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85125844792

UR - https://www.scopus.com/pages/publications/85125844792#tab=citedBy

U2 - 10.1109/ICEIB53692.2021.9686413

DO - 10.1109/ICEIB53692.2021.9686413

M3 - Conference contribution

AN - SCOPUS:85125844792

T3 - 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021

SP - 217

EP - 220

BT - 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021

A2 - Meen, Teen-Hang

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021

Y2 - 10 December 2021 through 12 December 2021

ER -

Xu DY, Chang YJ, Ssu KF. Real-time Path Planning Algorithm for Scooters in Urban Traffic Environments with the Hook-Turn Constraint. In Meen TH, editor, 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 217-220. (2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021). doi: 10.1109/ICEIB53692.2021.9686413

Real-time Path Planning Algorithm for Scooters in Urban Traffic Environments with the Hook-Turn Constraint

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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