Project Details
Description
Our main objective is to create advanced mathematical tools for accurate traffic prediction in order to enable traffic management and demand forecasting in traffic networks.
We process, in real-time, a huge amount of traffic data from cameras and vehicles in an actual city network in order to predict upcoming network demand based on historical and real-time data and provide alternative solutions to alleviate or eliminate problematic network hot-spots. The project therefore involves real-time image processing, advanced data communication, mathematical forecasting and optimization with tools from computer science, mathematics, machine learning and statistics.
We process, in real-time, a huge amount of traffic data from cameras and vehicles in an actual city network in order to predict upcoming network demand based on historical and real-time data and provide alternative solutions to alleviate or eliminate problematic network hot-spots. The project therefore involves real-time image processing, advanced data communication, mathematical forecasting and optimization with tools from computer science, mathematics, machine learning and statistics.
| Short title | eSSENCE@LU 6:3 |
|---|---|
| Status | Finished |
| Effective start/end date | 2020/01/01 → 2021/12/31 |
Funding
- eSSENCE: The e-Science Collaboration
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
