EVHF-GCN: An Emergency Vehicle Priority Scheduling Model Based on Heterogeneous Feature Fusion With Graph Convolutional Networks

EVHF-GCN: An Emergency Vehicle Priority Scheduling Model Based on Heterogeneous Feature Fusion With Graph Convolutional Networks

Traffic flow prediction is a crucial aspect of Intelligent Transport Systems, offering a scientific foundation for urban transport system management and planning. However, predicting traffic flow becomes challenging due to its susceptibility to diverse static and dynamic external factors, such as th...

Full description

Bibliographic Details
Main Authors: Jianxin Feng, Guanlin Guo, Jiahao Wang, Xiaoyao Liu, Zhiguo Liu, Yuanming Ding
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Graph convolutional network
priority movement of emergency vehicles
spatiotemporal models
traffic flow forecasting
Online Access:https://ieeexplore.ieee.org/document/10380592/

Internet

https://ieeexplore.ieee.org/document/10380592/

Similar Items