Machine Learning for Traffic Forecasting
A new traffic forecasting approach that combines machine learning with online learning to adapt in real time.
Enhancing Road Safety and Efficiency with Speed Recommendations
Nuria Toribio explores how advanced traffic management tools detect speed drops and provide progressive speed adjustments.
Towards ML-assisted traffic simulation
Machine learning can assist traffic simulation systems and reduce computational effort by providing network-wide traffic state estimation under unseen conditions.
How Intelligent Transport Systems contribute to machine learning
How intelligent transport systems can contribute to machine learning, from new datasets to novel algorithms for traffic forecasting and smart cities.
Is this the death of big data?
The AI community is moving beyond big data. Discover the limits of data‑hungry models and the rise of more efficient approaches.
How to use random forests to predict mobility patterns
How random forest models can predict mobility patterns using calendar and contextual data to improve traffic forecasting.
Understanding mobility using unsupervised learning
Unsupervised learning is a great tool for data analysis, particularly for understanding how mobility has changed due to COVID-19.
Metric selection for incident detection systems
Classification problems with highly unbalanced datasets, such as incident detection, pose the trade-off between true positive rate and false negative rate.
How to extract patterns from traffic data for better insights into mobility
Mobility patterns are a cornerstone of mobility demand modelling; clustering helps us extract usable daily patterns from huge sets of traffic data.
Why real‑time traffic management needs simulation, not just AI
The power of combining AI techniques with simulation in real time for accurate predictions and effective response plans under any conditions.
Mobility pattern prediction
Unlike purely data-driven methods, a simulation-based approach enables prediction of traffic states under recurrent conditions but also the impact of incidents or changes to traffic control plans.
What is a digital twin?
The phrase “digital twin” has become ubiquitous in the field of transportation, but what does it really mean?
Deeper than Data
What is the value of data analytics in the mobility sector? The usual starting place is to look at historical data to find recurrences and trends but if you have real-time data feeds, then you can go deeper
