Trajectory Planning in a Crossroads for a Fleet of Driverless Vehicles

Bibtex entry :

@inproceedings { 2007mehani_crossroads_trajectory_planning,
    abstract = { In the context of Intelligent Transportation Systems based on driverless vehicles, one important issue is the passing of a crossroads. This paper presents a supervised reservation system. Extending previous works in this direction, the proposed algorithm determines trajectories and speeds for all the vehicles willing to pass the intersection. The work is separated into tasks shared between the vehicles and an infrastructure in charge of the crossroads. This paper describes the characteristics of the algorithm, as well as considerations which led to it. Simulation results are given and support the argument that this algorithm is probably suboptimal but still performs well. Finally, this work shows there is place for ameliorations and hints to further improve the algorithm are given. },
    address = { Heidelberg, Germany },
    author = { Mehani, Olivier and de La Fortelle, Arnaud },
    booktitle = { EUROCAST 2007, 11th International Conference on Computer Aided Systems Theory },
    doi = { 10.1007/978-3-540-75867-9 },
    editor = { Díaz, Roberto M. and Pichler, Franz and Arencibia, Alexis Q. },
    keywords = { 2007, crossroads, cycab, driverless, eurocast2007, imara, inria, lara, msc, oliviermehani, simulation },
    location = { Las Palmas de Gran Canaria, Spain },
    month = { February },
    pages = { 1159--1166 },
    publisher = { Springer-Verlag Berlin },
    series = { Lecture Notes in Computer Science },
    title = { Trajectory Planning in a Crossroads for a Fleet of Driverless Vehicles },
    url = { http://dx.doi.org/10.1007/978-3-540-75867-9 },
    volume = { 4739 },
    year = { 2007 },
}