Un nuevo modelo para el problema de control óptimo de semáforos

  1. Lema Fernández, Carmen Socorro 1
  2. Pedreira Andrade, Luís Pedro 1
  3. Bouza Allende, Gemayqzel 2
  4. Allende Alonso, Sira 2
  1. 1 Dpto. Economía Aplicada II Universidade da Coruña
  2. 2 Universidad de La Habana (La Habana-Cuba)
Journal:
Anales de ASEPUMA

ISSN: 2171-892X

Year of publication: 2010

Issue: 18

Type: Article

More publications in: Anales de ASEPUMA

Abstract

At some intersections controlled by traffic lights, there are a lot of vehicles waiting while almost no car crossing. In this work we propose a model to determine the switch times of the traffic lights such that similar (uncomfortable) cases are rare for a two two-way streets intersection. First we define r1, r2, two integer constants, where r1 (respectively r2) denotes the largest (smallest) desirable number of cars at the lanes now crossing (waiting) when the lights change. Then, those switch moments where the previously defined situation is not taking place, are penalized leading us to a new model for controlling traffic lights. Some numerical experience is presented.

Bibliographic References

  • Beliakov, G.; Bagirov, A. (2006) “Non-smooth optimization methods for computation of the conditional value-at-risk and portfolio optimization”, Optimization, 55, 5-6, pp. 459-479.
  • De Schutter, B. (2002) “Optimizing acyclic traffic signal switching sequences through an extended linear complementarity problem formulation”, European Journal of Operational Research, 139, 2, pp. 400-415.
  • De Schutter, B.; De Moor, B. (1998) “Optimal traffic light control for a single intersection”. European Journal of Control, 4, 3, pp. 260-276.
  • Kirkpatrick, S.; Gelatt, J.R.; Vecchi, M.P. (1983) “Optimization by simulated annealing”. Science, 220, pp. 671-680.
  • Lema, C. (2009) “Un método híbrido para resolver el problema de control óptimo de semáforos”. Rect@, 10, pp. 285-298.
  • Lim, G. Y. 2001) “The optimization of traffic signal light using artificial intelligence”.10th IEEE International Conference in Fuzzy Systems, 3, pp. 1279-1282.
  • López, J.; (2007) “Traffic lights Fuzzy control proposals to improve vehicular flow”, Fourth Congress of Electronics, Robotics and Automotive Mechanics, pp. 406-411.
  • Sánchez, J. J.; Galán, M. J.; Rubio, E. (2008). “Applying a traffic lights evolutionary optimization technique to a real case: Las Ramblas, Area in Santa Cruz de Tenerife” IEEE Transactions on Evolutionary Computation, 12, 1, pp. 25-40.
  • Wiering, M. (2004). “Simulation and optimization of traffic in a city”. IEEE Intelligent Vehicles Symposium, pp. 453-458.