Nature

The two-stage prediction method for traffic spillover dissipation at short-distance intersections based on Bi-LSTM

In response to the common issue of traffic spillover at short-distance intersections, which tends to be overlooked due to its potential for self-dissipation, this paper conducts a study on predicting ...
Nature

A hybrid support vector machine and neural network model with fuzzy logic fusion for smart city traffic prediction

Smart city have created intelligent environments that enhance daily urban services, including transportation, healthcare, and entertainment 1. At the heart of this change lies the convergence between ...
The Baltimore Sun

Johns Hopkins engineers use artificial intelligence to predict car crashes

If you change the timing of a traffic light from 20 seconds to 30 seconds, a new artificial intelligence tool developed by Johns Hopkins University researchers can predict how many more — or how many ...
EurekAlert!

Are state-of-the-art deep learning traffic prediction models truly effective?

All of the baseline models achieve excellent performance in predicting high speed while performing extremely poorly in predicting lower ones. Specifically, even if the prediction horizon is 60 mins, a ...