Rezaei Kamran E, Zonouri S A. Design, simulation, and optimization of the lighting system of Tagh-Bostan Boulevard of Kermanshah using the MLP neural network algorithm. Urban Design Discourse a Review of Contemporary Litreatures and Theories 2024; 5 (3) :19-34
URL:
http://udd.modares.ac.ir/article-40-70792-en.html
1- Department of Architecture, Faculty of Art and Architecture, Razi University, Kermanshah
2- Department of Electrical Engineering, Technical and Engineering Faculty, Razi University, Kermanshah, Iran , a.zonoori@yahoo.com
Abstract: (656 Views)
Taq-Bostan Boulevard (Shahid Shiroudi) in Kermanshah city, due to the very rich history and culture of this city, has become one of the most important tourist and recreational destinations. However, the lighting conditions in this boulevard are still not ideal in a way that can add more beauty and charm to the urban space. As a result, the intelligent lighting design of Taq-Bostan Boulevard by using neural network algorithms and providing the appropriate algorithm can improve the lighting and visual conditions of this boulevard, and add more attractiveness to the urban space of Kermanshah city. In this article, first of all, the challenges of lighting sidewalks and implementation points in the design of urban street lighting have been examined. Then, considering the two factors of citizens’ satisfaction and visual beauty as outputs, as well as color temperature, illuminance, lamp type and luminance as model inputs, the MLP neural network algorithm was used for Taq-Bostan Boulevard in Kermanshah. is to design a smart and suitable lighting system for it. The proposed design has the most optimal conditions because the MRE and MAE errors obtained from the neural which is very ideal. Therefore, the designed lighting system ,%0.035 network are less than.aims for the psychological comfort and security of the citizens.
Article Type:
Original Research |
Subject:
Smart City & Technology Received: 2023/07/28 | Accepted: 2023/10/15 | Published: 2024/09/22