Cargando…
Entropy-Weight-Method-Based Integrated Models for Short-Term Intersection Traffic Flow Prediction
Three different types of entropy weight methods (EWMs), i.e., EWM-A, EWM-B, and EWM-C, have been used by previous studies for integrating prediction models. These three methods use very different ideas on determining the weights of individual models for integration. To evaluate the performances of t...
Autores principales: | Qu, Wenrui, Li, Jinhong, Song, Wenting, Li, Xiaoran, Zhao, Yue, Dong, Hanlin, Wang, Yanfei, Zhao, Qun, Qi, Yi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317321/ https://www.ncbi.nlm.nih.gov/pubmed/35885075 http://dx.doi.org/10.3390/e24070849 |
Ejemplares similares
-
Cooperative Traffic Signal Control with Traffic Flow Prediction in Multi-Intersection
por: Kim, Daeho, et al.
Publicado: (2019) -
Characteristics of Traffic Flow at Nonsignalized T-Shaped Intersection with U-Turn Movements
por: Fan, Hong-Qiang, et al.
Publicado: (2013) -
Research on Traffic Flow Prediction at Intersections Based on DT-TCN-Attention
por: Zhang, Yulin, et al.
Publicado: (2023) -
Statistical Analysis of Safety Performance of Displaced Left-Turn Intersections: Case Studies in San Marcos, Texas
por: Qu, Wenrui, et al.
Publicado: (2020) -
A vision-based real-time traffic flow monitoring system for road intersections
por: Azimjonov, Jahongir, et al.
Publicado: (2023)