Abstract

CARRILLO-GONZALEZ, José Gerardo. Driving solutions for autonomous vehicles, and adaptive proposals to set the traffic lights times and to choose routes. Ing. invest. y tecnol. [online]. 2019, vol.20, n.2. ISSN 2594-0732.  https://doi.org/10.22201/fi.25940732e.2019.20n2.020.

Two objectives are pursued in this article: 1) with adaptive solutions, improve the traffic flow by setting the time cycle of traffic lights at intersections and reduce the travel time by selecting the vehicles route (treated as separated problems). 2) Avoid driving conflicts among autonomous vehicles (which have defined trajectories) and these with a non-autonomous vehicle (which follows a free path). The traffic lights times are set with formulas that continuously recalculate the times values according the number of vehicles on the intersecting streets. For selecting the vehicles route an algorithm was developed, this calculates different routes (connected streets that conform a solution from the origin to the destination) and selects a route with low density. The results of the article indicate that the adaptive solutions to set the traffic lights times and to select the vehicles path, present a greater traffic flow and a shorter travel time, respectively, than conventional solutions. To avoid collisions among autonomous vehicles which follow a linear path, an algorithm was developed, this was successfully tested in different scenarios through simulations, besides the algorithm allows the interaction of a vehicle manually controlled (circulating without restrictions) with the autonomous vehicles. The algorithm regulates the autonomous vehicles acceleration (deceleration) and assigns the right of way among these and with the human controlled vehicle.

Keywords : Adaptive control; algorithm; autonomous vehicles; route guidance; simulation.

        · abstract in Spanish     · text in English     · English ( pdf )