| id |
caadria2021_042 |
| authors |
Sun, Chengyu, Lin, Yinshan and Li, Shuyang |
| year |
2021 |
| title |
Automatic Generation of Signboards in Large-Scale Transportation Building Driven by Passengers' Paths |
| doi |
https://doi.org/10.52842/conf.caadria.2021.1.011
|
| source |
A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 11-20 |
| summary |
The signage design of any large-scale transportation building is vital to its passengers wayfinding experiences. Firstly, a set of passengers paths should be re-designed by signage designers according to the latest requirements, which always deviates from the initial ones in large-scale projects or inevitably updates during a long-term running. Afterwards, the path design has to be transformed into the layout and content of signboards manually. It is a time-consuming and error-prone process. This study introduces a human-computer hybrid workflow keeping the flexible path design in the hands of designers and leaving the following procedures to an algorithm, which automatically generates signboard contents ready for construction. It is proved efficient with more than 3000 signboards in the project of PVG Airport, Shanghai. Furthermore, the designer got an opportunity to optimize his path design through various alternatives, which impossible traditionally. |
| keywords |
Design Automation; Human-Computer Hybrid; Signboard; Passenger Path; Transportation Building |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (6,167,832 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:56 |
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