A Multi-Source Traffic Data-Driven Traffic Flow Evolution Modeling Method for Intelligent Transportation Systems
The fusion of multi-source traffic data and dynamic traffic-state prediction provides an important approach for Intelligent Transportation Systems (ITS) applications. To address spatiotemporal-scale inconsistency among heterogeneous traffic data and insufficient representation of road-network correlations, a multi-sour...