Towards mobility data science (vision paper)
M Mokbel, M Sakr, L ** smart city transportation with traffic congestion solutions: Bhubaneswar, Odisha
Transportation and connectivity are of the most domineering aspects of develo** 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 …
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 …
Mobility Data Science: Perspectives and Challenges
M Mokbel, M Sakr, L ** and Evolution Tracking in Public Transit Systems
T Johannesson, I Rubensson… - … Conference on Big …, 2024 - ieeexplore.ieee.org
This work aims to explore the use of machine learning techniques, particularly clustering
and cluster evolution tracking, to analyze travel patterns in public transportation in a city and …
and cluster evolution tracking, to analyze travel patterns in public transportation in a city and …