Optimizing parking lot design by Generative design approach

Babushkina, Anna; Petrochenko, Marina; Кукина, Анна Алексеевна; Astafieva, Natalia

doi:10.1051/e3sconf/202126304042

“…Whereas, mathematical modelling of problems can effectively reduce the time required to solve them. (Babushkina et al, 2021) developed a linear programming model to find the optimal ratio between the number of parking spaces and the available area through multi-criteria optimisation. (Crisostomo & Baldovino, 2019) also applied linear programming to model a specific park lot and solved it using the simplex method, but neither of them gave a specific solution for the layout.…”

Section: Introductionmentioning

confidence: 99%

Research on Plan Generation Design of Parking Lot Based on Integer Programming

Zhang¹,

Li²,

Yu³

2023

CAADRIA Proceedings

0

View full text Add to dashboard Cite

As an auxiliary space in engineering projects, the process of parking lot design is often under-appreciated, which is highly repetitive, time-consuming, and leaves little space for creativity. Thus, optimizing existing design methods and improving design efficiency is an aspiration of the industry. Based on integer programming, this paper focuses on the surface parking lot as the main research object and explores the possibility of changing the parking lot plan design from manual to computer-generated. According to the research of relevant norms, this paper classifies the parking lot plan in terms of organisation mode and summarises 27 kinds of parking lot plan modes by analysing the state of the inner ring, traffic organisation, and parking angle. The model can efficiently solve the problems related to parking lot arrangements, such as whether to arrange parking spaces in the innerring of the contour and how to choose the internal parking angle, which saves manpower and improves the design efficiency and quality.

show abstract

“…Whereas, mathematical modelling of problems can effectively reduce the time required to solve them. (Babushkina et al, 2021) developed a linear programming model to find the optimal ratio between the number of parking spaces and the available area through multi-criteria optimisation. (Crisostomo & Baldovino, 2019) also applied linear programming to model a specific park lot and solved it using the simplex method, but neither of them gave a specific solution for the layout.…”

Section: Introductionmentioning

confidence: 99%

Proceedings of the 28th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 1]

2023

CAADRIA Proceedings

0

View full text Add to dashboard Cite

The papers are also available online at the open access cumulative database CumInCAD (http://papers.cumincad.org).The proceedings are the outcome of an extensive collaborative and voluntary effort between the International Reviewing Committee and Paper Selection Committee, with the former consisting of 140 reviewers from over 30 different countries working across the globe. It marks another year of growing quality and strength in the history of CAADRIA. The papers in this publication have been selected through a two-stage double-blind peer review process. Calls for papers in July of 2022 resulted in the submission of 450 abstracts from 37 countries, of which 292 were invited for further development as full paper submission. At least 3 to 4 international reviewers were assigned to conduct a double-blind review of each of the submitted papers. Following the reviewers' recommendation and the Paper Selection Committee's evaluation, 139 papers were finally accepted in February of 2023 for their inclusion in the publication and presentation at the conference.We congratulate the authors for their accomplishment. Our sincere thanks go out to our international reviewers, who volunteered their valuable time and effort. We also thank the organising team in CEPT University for developing the 2023 CAADRIA Conference as a strong collaborative effort between academic institutions, industry and practice. We thank Gabriel Wurzer for his relentless support with customizing the submission and review system to the needs of CAADRIA from the abstract submission all the way to production. Finally, I sincerely thank the CAADRIA community for offering me the opportunity and honour to serve as the chair of the Paper Selection Committee during the past 1 year of preparation.

show abstract

“…Whereas, mathematical modelling of problems can effectively reduce the time required to solve them. (Babushkina et al, 2021) developed a linear programming model to find the optimal ratio between the number of parking spaces and the available area through multi-criteria optimisation. (Crisostomo & Baldovino, 2019) also applied linear programming to model a specific park lot and solved it using the simplex method, but neither of them gave a specific solution for the layout.…”

Section: Introductionmentioning

confidence: 99%

CAADRIA 2023: HUMAN-CENTRIC - Volume 1

Koh,

Reinhardt,

Makki

et al. 2023

CAADRIA Proceedings

0

View full text Add to dashboard Cite

The papers are also available online at the open access cumulative database CumInCAD (http://papers.cumincad.org).The proceedings are the outcome of an extensive collaborative and voluntary effort between the International Reviewing Committee and Paper Selection Committee, with the former consisting of 140 reviewers from over 30 different countries working across the globe. It marks another year of growing quality and strength in the history of CAADRIA. The papers in this publication have been selected through a two-stage double-blind peer review process. Calls for papers in July of 2022 resulted in the submission of 450 abstracts from 37 countries, of which 292 were invited for further development as full paper submission. At least 3 to 4 international reviewers were assigned to conduct a double-blind review of each of the submitted papers. Following the reviewers' recommendation and the Paper Selection Committee's evaluation, 139 papers were finally accepted in February of 2023 for their inclusion in the publication and presentation at the conference.We congratulate the authors for their accomplishment. Our sincere thanks go out to our international reviewers, who volunteered their valuable time and effort. We also thank the organising team in CEPT University for developing the 2023 CAADRIA Conference as a strong collaborative effort between academic institutions, industry and practice. We thank Gabriel Wurzer for his relentless support with customizing the submission and review system to the needs of CAADRIA from the abstract submission all the way to production. Finally, I sincerely thank the CAADRIA community for offering me the opportunity and honour to serve as the chair of the Paper Selection Committee during the past 1 year of preparation.

show abstract

Optimizing parking lot design by Generative design approach

Cited by 4 publications

References 12 publications

Research on Plan Generation Design of Parking Lot Based on Integer Programming

Research on Plan Generation Design of Parking Lot Based on Integer Programming

Proceedings of the 28th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 1]

CAADRIA 2023: HUMAN-CENTRIC - Volume 1

Contact Info

Product

Resources

About