Long-time gap crowd prediction using time series deep learning models with two-dimensional single attribute inputs
Crowd prediction is a crucial aspect of modern life with innumerable applications. By
predicting future human occupancy in advance, crowd prediction can support the decision …
predicting future human occupancy in advance, crowd prediction can support the decision …
Long-Time gap crowd prediction with a Two-Stage optimized spatiotemporal Hybrid-GCGRU
Crowd prediction is a crucial aspect of modern society, facilitating numerous decision-
making processes, such as hazard detection and facility maintenance. Conventional crowd …
making processes, such as hazard detection and facility maintenance. Conventional crowd …
An efficiency-enhanced deep learning model for citywide crowd flows prediction
The crowd flows prediction plays an important role in urban planning management and
urban public safety. Accuracy is a challenge for predicting the flow of crowds in a region. On …
urban public safety. Accuracy is a challenge for predicting the flow of crowds in a region. On …
Predicting citywide crowd dynamics at big events: A deep learning system
Event crowd management has been a significant research topic with high social impact.
When some big events happen such as an earthquake, typhoon, and national festival, crowd …
When some big events happen such as an earthquake, typhoon, and national festival, crowd …
DeepIndoorCrowd: Predicting crowd flow in indoor shopping malls with an interpretable transformer network
Accurate and interpretable prediction of crowd flow would benefit business management
and public security. The existing studies are challenged to adapt to the indoor environment …
and public security. The existing studies are challenged to adapt to the indoor environment …
Deepurbanevent: A system for predicting citywide crowd dynamics at big events
Event crowd management has been a significant research topic with high social impact.
When some big events happen such as an earthquake, typhoon, and national festival, crowd …
When some big events happen such as an earthquake, typhoon, and national festival, crowd …
Forecasting the crowd: An effective and efficient neural network for citywide crowd information prediction at a fine spatio-temporal scale
Modelling and forecasting citywide crowd information (eg, crowd volume of a region, the
inflow of crowds into a region, outflow of crowds from a region) at a fine spatio-temporal …
inflow of crowds into a region, outflow of crowds from a region) at a fine spatio-temporal …
Online spatio-temporal crowd flow distribution prediction for complex metro system
As a key mission of the modern traffic management, crowd flow prediction (CFP) benefits in
many tasks of intelligent transportation services. However, most existing techniques focus …
many tasks of intelligent transportation services. However, most existing techniques focus …
ASTIR: Spatio-temporal data mining for crowd flow prediction
The citywide crowd flow prediction is crucial for a city to ensure productivity, safety and
management of its citizen. However, the crowd flow may be affected by many factors, such …
management of its citizen. However, the crowd flow may be affected by many factors, such …
DeepCrowd: A deep model for large-scale citywide crowd density and flow prediction
Predicting the density and flow of the crowd or traffic at a citywide level becomes possible by
using the big data and cutting-edge AI technologies. It has been a very significant research …
using the big data and cutting-edge AI technologies. It has been a very significant research …