Bi-objective optimization of traffic assignment with air quality consideration via CFD-based surrogate model
Dados Bibliográficos
| ID | 21234534 |
|---|---|
| Autores | Di Mei (0000-0002-1327-4217, University of Hong Kong), Chun-Ho Liu (0000-0001-9980-0400, University of Hong Kong, autor correspondente) |
| Ano | 2023 |
| Volume | 91 |
| Páginas | 104425 |
| Data de publicação | 2023-04-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Sustainable Cities and Society (JOURNAL) |
| Identificadores do periódico | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Editora | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2023.104425 |
| OpenAlex | W4318384103 |
| Idioma | EN |
| Citações recebidas | 7 |
| Referências citadas | 53 |
Air pollution · Air quality index · Computational fluid dynamics · Genetic algorithm · Geography · Kriging · Meteorology · Surrogate model · Sustainability · Sustainable transport · Transport engineering · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Computer Science · Engineering · Environmental Science · Vehicle emissions and performance · Environmental Engineering
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| Obras citantes distintas | 7 |
|---|---|
| Citações por ano | 3,5 |
| Intervalo de citações | 2024 - 2026 (3) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 6 |