Safe City

Safe City

Application of ACO Algorithm in the Management of Safe and Optimal Design and Equipment of Urban Workshops

Document Type : Original Article

Authors
Peymaneh Asgari 1
Nahal Goodarzi 2
1 Assistant Professor, Payame Noor University, Tehran Branch, Tehran. Iran
2 M.Sc. Student, Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran. Iran
10.22034/ispdrc.2023.2001705.1029
Abstract
In order to design public and private spaces in cities, urban architects are looking for the implementation
of simple and new systems to increase safety in construction sites. Providing suitable physical
infrastructure in urban workshops that can guarantee the health and safety of workers, the urban
environment and the efficiency of workshop performance is one of the important challenges in designing
and equipping construction sites in a safe city. This research has been done with the aim of improving the
safety and efficiency of urban workshops using the ant colony optimization algorithm. The research
method is descriptive and exploratory and is a case study type. The ant theory algorithm uses a structured
solution to solve the problems of workshop arrangement over time, which is done by using heuristic
information based on the cost of flow and the cost of movement in different time frames. This algorithm
works by determining the dominant relationship between the answers, which is the key parameter for the
search algorithm. In order to achieve the final optimal results, a case study is used to verify the proposed
model, which can be realized by assuming appropriate parameters. In the case study of the urban
construction workshop, four scenarios were determined for safe equipment, and the most optimal design,
scenario number 1, was concluded to be the best case for the arrangement of dynamic facilities,
considering the minimum cost of 2496.
Keywords
Safe equipment
Algorithm
Ant colony
Optimization
Urban workshops
Subjects
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