Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network
Traffic flow prediction plays a crucial role in the management and operation of urban
transportation systems. While extensive research has been conducted on predictions for …
transportation systems. While extensive research has been conducted on predictions for …
A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units
Spatio-Temporal (ST) prediction is crucial for making informed decisions in urban location-
based applications like ride-sharing. However, existing ST models often require region …
based applications like ride-sharing. However, existing ST models often require region …
DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services
In Location-Based Services (LBS), such as food delivery, a fundamental task is segmenting
Areas of Interest (AOIs), aiming at partitioning the urban geographical spaces into non …
Areas of Interest (AOIs), aiming at partitioning the urban geographical spaces into non …
UCTB: An Urban Computing Tool Box for Building Spatiotemporal Prediction Services
Spatiotemporal prediction (STP) service is one of the key infrastructure applications in smart
cities. Currently, most of the existing STP services are constructed following the workflow of …
cities. Currently, most of the existing STP services are constructed following the workflow of …
YUI: Day-ahead Electricity Price Forecasting Using Invariance Simplified Supply and Demand Curve
L Wang, A Yu, J Liu, H Zhang, L Wang - arXiv preprint arXiv:2405.14893, 2024 - arxiv.org
In day-ahead electricity market, it is crucial for all market participants to have access to
reliable and accurate price forecasts for their decision-making processes. Forecasting …
reliable and accurate price forecasts for their decision-making processes. Forecasting …
Enhancing Spatial-Temporal Demand Prediction in Transportation Systems Through Region Generation Using Soft Clustering
K Kim, P Zhang - Available at SSRN 4849666 - papers.ssrn.com
Accurate spatial-temporal demand prediction is crucial for the effective service management
of various online transportation platforms, such as ridehailing and micro-mobility sharing …
of various online transportation platforms, such as ridehailing and micro-mobility sharing …