We propose in this paper CPM-ConvLSTM, a spatiotemporal model for short-term prediction of congestion level in each road segment.

Jun 1, 2019 · In this paper, we propose a spatiotemporal traffic predic- tion model, namely, CPM-ConvLSTM, to make short-term prediction of congestion level ...

CPM-ConvLSTM, a spatiotemporal model for short-term prediction of congestion level in each road segment, built on a spatial matrix which incorporates both ...

In this paper, we propose a traffic congestion index and devise a new traffic congestion prediction model spatio-temporal transformer (STTF) based on ...

In this article, we present a new traffic prediction model, the Congestion-based Traffic Prediction Model (CTPM), which refines previous forecasts based on ...

This research will address the problem of predicting congestion propagation patterns in the near future.

This study uses real-time big data to conduct a spatiotemporal analysis of traffic congestion patterns in Casablanca, Morocco.

Traffic Congestion Prediction by Spatiotemporal Propagation Patterns. 8 stars 1 fork Branches Tags Activity.

Dec 4, 2023 · Here, we develop a method to forecast heavy congestions based on their early propagation stage. Our framework follows the network propagation ...

To overcome these issues, we propose in this paper CPM-ConvLSTM, a spatiotemporal model for short-Term prediction of congestion level in each road segment. Our ...