Name: BRENO AGUIAR KROHLING
Publication date: 13/12/2024
Examining board:
Name |
Role |
|---|---|
| DIEGO ROBERTO COLOMBO DIAS | Examinador Interno |
| GIOVANNI VENTORIM COMARELA | Coorientador |
| PAULO HENRIQUE LOPES RETTORE | Examinador Externo |
| VINICIUS FERNANDES SOARES MOTA | Presidente |
Summary: Vehicle trajectories prediction enables traffic management optimization and facilitates
solutions that require knowledge of where a vehicle, or its driver, is heading. To use such
information on a large scale, it is necessary to employ models capable of generalizing
complex movement patterns across an entire region or city. To achieve this, an end-to-end
framework called TRAJES (Trajectory Estimator) was proposed to generate models from
urban vehicle mobility data, using trajectories consisting only of geolocation information.
The model generation and selection are based on concrete metrics, such as the actual
distance between predicted and real points, and the proposed Hit Race Accuracy metric,
which evaluates model performance based on regions of interest throughout the entire
city. The framework was employed to create models capable of predicting vehicle positions
in both the near and distant future, tested on real-world datasets collected in the cities
of Porto and San Francisco. The results demonstrated the ability to generalize effective
models for both prediction scenarios, indicating their viability as an intermediate step for
external solutions, particularly those requiring knowledge of a vehicle’s future region.
