On how to incorporate public sources of situational context in descriptive and predictive models of traffic data
Abstract Background European cities are placing a larger emphasis on urban data consolidation and analysis for optimizing public transport in response to changing urban mobility dynamics. Despite the existing efforts, traffic data analysis often disregards vital situational context, including large-...
Guardado en:
Autores principales: | Sofia Cerqueira, Elisabete Arsenio, Rui Henriques |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
SpringerOpen
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/c973b792e81140abb3b4a569f1798c83 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Study on the Optimization of Hub-and-Spoke Logistics Network regarding Traffic Congestion
por: Wei Xu, et al.
Publicado: (2021) -
Modeling Tourists’ Departure Time considering the Influence of Multisource Traffic Information
por: Shijun Yu, et al.
Publicado: (2021) -
The Impact of Automated Vehicles on Traffic Flow and Road Capacity on Urban Road Networks
por: Ji Eun Park, et al.
Publicado: (2021) -
A Way to Automatically Generate Lane Level Traffic Data from Video in the Intersections
por: Zhongguo Yang, et al.
Publicado: (2021) -
A Deep Reinforcement Learning Approach for Ramp Metering Based on Traffic Video Data
por: Bing Liu, et al.
Publicado: (2021)