دورية أكاديمية

Optimization Design of Parking Models Based on Complex and Random Parking Environments

التفاصيل البيبلوغرافية
العنوان: Optimization Design of Parking Models Based on Complex and Random Parking Environments
المؤلفون: Xunchen Liu, Siqi Zhu, Yuan Fang, Yutong Wang, Lijuan Fu, Wenjing Lei, Zijian Zhou
المصدر: World Electric Vehicle Journal, Vol 14, Iss 12, p 344 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
LCC:Transportation engineering
مصطلحات موضوعية: vehicle motion models, motion trajectory planning, trajectory optimization, automated parking, parking lot problems, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Transportation engineering, TA1001-1280
الوصف: This paper presents a comprehensive study on autonomous vehicle parking challenges, focusing on kinematic and reverse parking models. The research develops models for various scenarios, including turning, reverse, vertical, and parallel parking while using the minimum turning radius solution. The integration of the A* algorithm enhances trajectory optimization and obstacle avoidance. Innovative concepts like NTBPT and B-spline theory improve computational optimization. This study provides a foundation for understanding the dynamics and constraints of autonomous parking. The proposed model enhances efficiency and safety, reducing algorithm complexity and improving trajectory optimization. This research offers valuable insights and methodologies for addressing autonomous vehicle parking challenges and advocates for advancements in automated parking systems.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2032-6653
Relation: https://www.mdpi.com/2032-6653/14/12/344; https://doaj.org/toc/2032-6653
DOI: 10.3390/wevj14120344
URL الوصول: https://doaj.org/article/3c5eee71b40346da9f854907e9a3b422
رقم الأكسشن: edsdoj.3c5eee71b40346da9f854907e9a3b422
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20326653
DOI:10.3390/wevj14120344