Optimization Model of Autonomous Vehicle Parking Facilities, Developed With the Nondominated Sorting Genetic Algorithm With an Elite Strategy 2 and by Comparing Different Moving Strategies-Reference-Cited by-同舟云学术

Optimization Model of Autonomous Vehicle Parking Facilities, Developed With the Nondominated Sorting Genetic Algorithm With an Elite Strategy 2 and by Comparing Different Moving Strategies

Published:2023-05 Issue:3 Volume:15 Page:82-100
ISSN:1939-1390
Container-title:IEEE Intelligent Transportation Systems Magazine
language:
Short-container-title:IEEE Intell. Transport. Syst. Mag.

Author:

Ye Xiaofei¹^ORCID,Wang Yilu¹^ORCID,Yan Xingchen²^ORCID,Tao Wang³^ORCID,Chen Jun⁴^ORCID

Affiliation:

1. School of Maritime and Transportation, Ningbo University, Ningbo, China

2. College of Automotive and Traffic Engineering, Nanjing Forestry University, Nanjing, China

3. School of Architecture and Transportation, Guilin University of Electronic Science and Technology, Guilin, China

4. School of Transportation, Southeast University, Nanjing, China

Funder

Fundamental Research Funds for the Provincial Universities of Zhejiang

Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China

Control With Connected and Automated Vehicles

Natural Science Foundation of Jiangsu Province

Natural Science Foundation of Guangxi Province, China

Specific Research Project of Guangxi for Research Bases and Talents

Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/5117645/10119653/09976333.pdf?arnumber=9976333

Reference21 articles.

1. Research on Parking Space Optimal Design Method in Parking Lots

2. Modeling the morning commute for urban networks with cruising-for-parking: An MFD approach

3. Self-automated parking lots for autonomous vehicles based on vehicular ad hoc networking

4. Solving the User Optimum Privately Owned Automated Vehicles Assignment Problem (UO-POAVAP): A model to explore the impacts of self-driving vehicles on urban mobility

5. Designing parking facilities for autonomous vehicles

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