Resumen
Urban environments are becoming more and more complex because several factors as consecutive cross- roads or lanes changes. These scenarios demand specific infrastructures—i.e. roundabouts, for improving traffic flow compared with traditional intersections. A roundabout removes timeouts associated with traf- fic lights at crossroads and trajectory conflicts among drivers. However, it is a challenging scenario for both humans and automated vehicles. This work presents a path planning method for automated vehi- cle driving at roundabouts. The proposed system achieves a G 1 continuous path, minimizing curvature steps to increase smoothness, dividing the driving process in three stages: entrance maneuver, driving within the roundabout and exit maneuver. Parametric equations are generated to deal with automated roundabout driving. This approach allows a real time planning considering two-lane roundabouts, taking different exits. Tests in simulated environments and on our prototype platform—Cybercar—validate the system on real urban environments, showing the proper behavior of the system.
Idioma original | Inglés |
---|---|
Páginas (desde-hasta) | 332-341 |
Número de páginas | 10 |
Publicación | Expert Systems with Applications |
Volumen | 71 |
DOI | |
Estado | Publicada - 1 abr 2017 |
Palabras clave
- Roundabouts
- Automated vehicles
- Path planning
- Intelligent transportation systems
Project and Funding Information
- Project ID
- info:eu-repo/grantAgreement/EC/FP7/610542/EU/Co-operative Systems in Support of Networked Automated Driving by 2030/AUTONET2030
- Funding Info
- FP7 EU AutoNet2030 project