Towards mobility data science (vision paper)
Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …
With the availability of GPS-equipped mobile devices and other inexpensive location …
Predicting station-level short-term passenger flow in a citywide metro network using spatiotemporal graph convolutional neural networks
Y Han, S Wang, Y Ren, C Wang, P Gao… - … International Journal of …, 2019 - mdpi.com
Predicting the passenger flow of metro networks is of great importance for traffic
management and public safety. However, such predictions are very challenging, as …
management and public safety. However, such predictions are very challenging, as …
[HTML][HTML] GIS-based survey over the public transport strategy: An instrument for economic and sustainable urban traffic planning
Traffic has a direct impact on local and regional economies, on pollution levels and is also a
major source of discomfort and frustration for the public who have to deal with congestion …
major source of discomfort and frustration for the public who have to deal with congestion …
Mobility Data Science: Perspectives and Challenges
Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …
With the availability of GPS-equipped mobile devices and other inexpensive location …
[PDF][PDF] Shaping smart city transportation with traffic congestion solutions: Bhubaneswar, Odisha
Transportation and connectivity are of the most domineering aspects of developing cities
and is necessary for ensuring the growth of urban areas. The perplexing, perpetual and …
and is necessary for ensuring the growth of urban areas. The perplexing, perpetual and …
Uncovering spatio-temporal travel patterns using a tensor-based model from metro smart card data in Shenzhen, China
J Tang, X Wang, F Zong, Z Hu - Sustainability, 2020 - mdpi.com
Individual mobility patterns are an important factor in urban traffic planning and traffic flow
forecasting. How to understand the spatio-temporal distribution of passengers deeply and …
forecasting. How to understand the spatio-temporal distribution of passengers deeply and …
[HTML][HTML] A two-layer graph-convolutional network for spatial interaction imputation from hierarchical functional regions
Understanding spatial interactions in urban environments has become critical in the context
of spatio-temporal big data. However, Spatial–temporal big data often exhibit non-uniformity …
of spatio-temporal big data. However, Spatial–temporal big data often exhibit non-uniformity …
The Impact of Land Use on Time-Varying Passenger Flow Based on Site Classification
K Lei, Q Hou, W Li, M Zhao, J Zhou, L Zhang, S Chen… - Land, 2022 - mdpi.com
During the different periods of a day, the imbalanced distribution of inbound ridership, that is
related to land use, results in extreme flow, which makes metro management challenging …
related to land use, results in extreme flow, which makes metro management challenging …
A fuzzy logic-based method for designing an urban transport network using a shark smell optimisation algorithm
H Nazif - Journal of Experimental & Theoretical Artificial …, 2022 - Taylor & Francis
Transportation is a significant issue due to providing people to participate in human
activities. Due to an increase in population, the need for transportation has also been …
activities. Due to an increase in population, the need for transportation has also been …