When smart cities get smarter via machine learning: An in-depth literature review
The manuscript represents a comeprehensive and systematic literature review on the
machine learning methods in the emerging applications of the smart cities. Application …
machine learning methods in the emerging applications of the smart cities. Application …
Weighted spatio-temporal taxi trajectory big data mining for regional traffic estimation
AS Dokuz - Physica A: Statistical Mechanics and its Applications, 2022 - Elsevier
The estimation of traffic conditions in cities is becoming essential to establish a sustainable
transportation system and to help traffic management authorities plan the traffic of cities …
transportation system and to help traffic management authorities plan the traffic of cities …
Human mobility forecasting with region-based flows and geotagged Twitter data
One of the main lines of research in the discipline of mobility mining is the development of
predictors able to anticipate human travel behaviour in great detail. However, access to the …
predictors able to anticipate human travel behaviour in great detail. However, access to the …
Car tourist trajectory prediction based on bidirectional lstm neural network
S Mikhailov, A Kashevnik - Electronics, 2021 - mdpi.com
COVID-19 has greatly affected the tourist industry and ways of travel. According to the
UNTWO predictions, the number of international tourist arrivals will be slowly growing by the …
UNTWO predictions, the number of international tourist arrivals will be slowly growing by the …
A framework for spatial-temporal trajectory cluster analysis based on dynamic relationships
I Portugal, P Alencar, D Cowan - IEEE Access, 2020 - ieeexplore.ieee.org
In spatial-temporal data analysis, location data and its evolution through time are
investigated with the goal of uncovering important information to provide novel insights …
investigated with the goal of uncovering important information to provide novel insights …
An analysis of twitter as a relevant human mobility proxy: A comparative approach in spain during the COVID-19 pandemic
During the last years, the analysis of spatio-temporal data extracted from Online Social
Networks (OSNs) has become a prominent course of action within the human-mobility …
Networks (OSNs) has become a prominent course of action within the human-mobility …
A fuzzy rough sets-based data-driven approach for quantifying local and overall fuzzy relations between variables for spatial data
H Bai, J **g, D Li, Y Ge - Applied Soft Computing, 2024 - Elsevier
Exploring the relationships between variables is a crucial component in comprehending
geographical phenomena. Most existing methods ignore the vagueness hidden in spatial …
geographical phenomena. Most existing methods ignore the vagueness hidden in spatial …
Statistical and density-based clustering of geographical flows for crowd movement patterns recognition
J Tang, Y Zhao, X Yang, M Deng, H Liu, C Ding… - Applied Soft …, 2024 - Elsevier
With the rapid development of sensors and communication technologies, it has become
easy to collect large-scale and long-term crowd movement positioning data, which brings …
easy to collect large-scale and long-term crowd movement positioning data, which brings …
Land‐use dynamic discovery based on heterogeneous mobility sources
Nowadays, cities are the most relevant type of human settlement and their population has
been endlessly growing for decades. At the same time, we are witnessing an explosion of …
been endlessly growing for decades. At the same time, we are witnessing an explosion of …
A New Trajectory Clustering Method for Mining Multiple Periodic Patterns from Complex Oceanic Trajectories
Y Du, K Chen, G Yi, W Yu, Z **an, W Song - Remote Sensing, 2024 - mdpi.com
Oceanic trajectories frequently exhibit multiple periodic patterns across various time
intervals, eg, tidal variations, mesoscale eddies, and El Niño events correspond to diurnal …
intervals, eg, tidal variations, mesoscale eddies, and El Niño events correspond to diurnal …