Cargando…
Heterogeneous Data Fusion Method to Estimate Travel Time Distributions in Congested Road Networks
Travel times in congested urban road networks are highly stochastic. Provision of travel time distribution information, including both mean and variance, can be very useful for travelers to make reliable path choice decisions to ensure higher probability of on-time arrival. To this end, a heterogene...
Autores principales: | Shi, Chaoyang, Chen, Bi Yu, Lam, William H. K., Li, Qingquan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750669/ https://www.ncbi.nlm.nih.gov/pubmed/29210978 http://dx.doi.org/10.3390/s17122822 |
Ejemplares similares
-
Highway travel time estimation with data fusion
por: Soriguera Martí, Francesc
Publicado: (2016) -
Understanding the marginal distributions and correlations of link travel speeds in road networks
por: Guo, Feng, et al.
Publicado: (2020) -
The road most travelled: the geographic distribution of road traffic injuries in England
por: Steinbach, Rebecca, et al.
Publicado: (2013) -
Community detection in large scale congested urban road networks
por: Haghbayan, Seyed Arman, et al.
Publicado: (2021) -
Understanding congested travel in urban areas
por: Çolak, Serdar, et al.
Publicado: (2016)