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road traffic congestion is still one of the major concerns of travelers. It is found that congestion can inflict high economic costs [1]. The cost in the United States is up to $124.2 billion in 2013 and is expected to
Trip distribution modeling with Twitter data Comput. Environ. Urban Syst., 77 (2019), Article 101354 View PDFView articleView in ScopusGoogle Scholar Rathore et al., 2021 M.M. Rathore, S. Attique Shah, A. Awad, D. Shukla, S. Vimal, A. Paul A cyber-physical system and graph-based ...
Finally, we estimate the RQI for approximately five kilometers trip through Egyptian roads. The results plotted using Mapbox maps as shown in Fig. 13. Firstly, we applied our model to get the road sequences condition type, then we compute the cumulative distance between each two location point...
The range of information includes the main qualitative variables describing a trip (or a same-day visit), such as the destination, the purpose of the travel, the means of booking, the means of transport, the type of accommodation used, the length of stay, the period of the year when ...
We will show that the ELM algorithm provides an excellent performance in terms of error metrics, with a low computational cost. The rest of this paper has been structured as follows: next section presents the data description and the variables considered in the analysis and prediction of fog ...
[28,29] in their work on a comparison of neural networks and gravity models in trip distribution concluded that neural networks outperform gravity models when data is scarce, invariably in large datasets, evidence shows that gravity models outperform neural networks but they point out with less ...