Bibtex_16D

@INPROCEEDINGS{Guerrero16,

author={Jenniffer S. Guerrero and Wilfredo Alfonso},

booktitle={2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI)},

title={Model predictive control using adaptive task allocation for optimization of networks with traffic lights},

year={2016},

pages={1--6},

abstract={This paper presents the implementation of a controller based on Adaptive Task Allocation Algorithm (ATAA) for a traffic network with signalized intersections, where it is required to decrease waiting times of vehicles at every intersection. The main contributions of this work are the implementation of ATAA controller under a Model Predictive Control (MPC) scheme and the use of an estimator which does not require an explicit model of the system to predict its future behavior. Two case studies are presented and implementation results are compared for scenarios using both ATAA with open loop controller and the MPC proposed. For both case studies improvements up to 31.3% were obtained for vehicles' mean delay time with the MPC approach in contrast to a network with no traffic light control.},

keywords={intelligent transportation systems; particle swarm optimisation; predictive control; road traffic control; swarm intelligence; network optimization; traffic lights; adaptive task allocation algorithm; ATAA; traffic network; model predictive control; MPC; swarm intelligence; particle swarm optimization; intelligent transport systems; Mathematical model; Resource management; Heuristic algorithms; Predictive control; Delays; Predictive models; Particle swarm optimization; Adaptive Task Allocation; Particle Swarm Optimization; Predictive Control; Swarm Intelligence; Traffic Lights},

doi={10.1109/LA-CCI.2016.7885717},

month=nov,}