Improving urban crowd flow prediction on flexible region partition
Accurate forecast of citywide crowd flows on flexible region partition benefits urban planning,
traffic management, and public safety. Previous research either fails to capture the complex …
traffic management, and public safety. Previous research either fails to capture the complex …
Exploiting multiple correlations among urban regions for crowd flow prediction
Crowd flow prediction has become a strategically important task in urban computing, which
is the prerequisite for traffic management, urban planning and public safety. However, due to …
is the prerequisite for traffic management, urban planning and public safety. However, due to …
3dgcn: 3-dimensional dynamic graph convolutional network for citywide crowd flow prediction
Crowd flow prediction is an essential task benefiting a wide range of applications for the
transportation system and public safety. However, it is a challenging problem due to the …
transportation system and public safety. However, it is a challenging problem due to the …
Crowd flow prediction for irregular regions with semantic graph attention network
It is essential to predict crowd flow precisely in a city, which is practically partitioned into
irregular regions based on road networks and functionality. However, prior works mainly …
irregular regions based on road networks and functionality. However, prior works mainly …
SPRNN: A spatial–temporal recurrent neural network for crowd flow prediction
The capability of predicting the future trends of crowds has rendered crowd flow prediction
more critical in building intelligent transportation systems, and attracted substantial research …
more critical in building intelligent transportation systems, and attracted substantial research …
Deep multi-view residual attention network for crowd flows prediction
Forecasting the crowd flows of some densely populated areas (functional areas) at urban
level is vital for the city and traffic management and much efforts have been put into this field …
level is vital for the city and traffic management and much efforts have been put into this field …
Predicting crowd flows via pyramid dilated deeper spatial-temporal network
C Miao, J Fu, J Wang, H Yu, B Yao, A Zhong… - Proceedings of the 14th …, 2021 - dl.acm.org
Predicting crowd flows is crucial for urban planning, traffic management and public safety.
However, predicting crowd flows is not trivial because of three challenges: 1) highly …
However, predicting crowd flows is not trivial because of three challenges: 1) highly …
Context-aware spatial-temporal neural network for citywide crowd flow prediction via modeling long-range spatial dependency
Crowd flow prediction is of great importance in a wide range of applications from urban
planning, traffic control to public safety. It aims at predicting the inflow (the traffic of crowds …
planning, traffic control to public safety. It aims at predicting the inflow (the traffic of crowds …
Interpretable crowd flow prediction with spatial-temporal self-attention
Crowd flow prediction has been increasingly investigated in intelligent urban computing field
as a fundamental component of urban management system. The most challenging part of …
as a fundamental component of urban management system. The most challenging part of …
Jointly modeling spatio–temporal dependencies and daily flow correlations for crowd flow prediction
Crowd flow prediction is a vital problem for an intelligent transportation system construction
in a smart city. It plays a crucial role in traffic management and behavioral analysis, thus it …
in a smart city. It plays a crucial role in traffic management and behavioral analysis, thus it …