Research on Parking Space Detection and Prediction Model Based on CNN-LSTM-Reference-Cited by-同舟云学术

Research on Parking Space Detection and Prediction Model Based on CNN-LSTM

Published:2024 Issue: Volume:12 Page:30085-30100
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Xu Zhuye¹^ORCID,Tang Xiao¹^ORCID,Ma Changxi²^ORCID,Zhang Renshuai¹

Affiliation:

1. School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou, China

2. School of Transportation, Lanzhou Jiaotong University, Lanzhou, China

Funder

Natural Science Foundation of Gansu Province

Open Fund of the National Engineering Research Center of Highway Maintenance Technology

Gansu Provincial Science and Technology Plan

Gansu Provincial United Scientific Research Fund General Project

Gansu Provincial Science and Technology Major Special Project-Enterprise Innovation Consortium Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10443421.pdf?arnumber=10443421

Reference35 articles.

1. The current situation and innovation door of the parking lot under the environment of China’s automobile ownership growth environment;Zhuoran;Ind. Technol. Forum,2017

2. Fragrance thinking about the development of car ownership;Shengpai;Shanghai Automobile,2018

3. MLR-based bus itinerary prediction model;Lei;J. Dalian Jiaotong Univ.,2015

4. A radar maneuvering target detection algorithm based on K-means;Shuhui;Agricult. Equip. Vehicle Eng.,2012

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Taxi Demand Method Based on SCSSA-CNN-BiLSTM;Sustainability;2024-09-10

2. Smart Parking: Enhancing Urban Mobility with Fog Computing and Machine Learning-Based Parking Occupancy Prediction;Applied System Innovation;2024-06-17