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

電機工程學系

研究成果: Conference contribution

摘要

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.

原文	English
主出版物標題	2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021
編輯	Teen-Hang Meen
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	217-220
頁數	4
ISBN（電子）	9781665437554
DOIs	https://doi.org/10.1109/ICEIB53692.2021.9686413
出版狀態	Published - 2021
事件	2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021 - Yilan, Taiwan 持續時間: 2021 12月 10 → 2021 12月 12

出版系列

名字	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
國家/地區	Taiwan
城市	Yilan
期間	21-12-10 → 21-12-12

UN SDG

此研究成果有助於以下永續發展目標

SDG 11 永續發展的城市與社群

All Science Journal Classification (ASJC) codes

電腦網路與通信
電腦科學應用
硬體和架構
資訊系統
資訊系統與管理
安全、風險、可靠性和品質

存取文件

10.1109/ICEIB53692.2021.9686413

其它文件與鏈接

引用此

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. 於 T.-H. Meen (編輯), 2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021 (頁 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. 編輯 / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2021. 頁 217-220 (2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021).

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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",

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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. 於 T-H Meen (編輯), 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., 頁 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. 編輯 / 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).

研究成果: 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. 於 Meen TH, 編輯, 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

摘要

出版系列

Conference

UN SDG

All Science Journal Classification (ASJC) codes

存取文件

其它文件與鏈接

指紋

引用此