Google scholar arxiv informatics ads IJAIS publications are indexed with Google Scholar, NASA ADS, Informatics et. al.

Call for Paper


March Edition 2023

International Journal of Applied Information Systems solicits high quality original research papers for the March 2023 Edition of the journal. The last date of research paper submission is February 15, 2023.

Modeling and Controlling Isolated Intersections using Simulated Annealing Approach

Ola B. O, Omidiora E. O, Ganiyu R. A Published in Information Sciences

International Journal of Applied Information Systems
Year of Publication: 2014
© 2013 by IJAIS Journal
Download full text
  1. Ola B O, Omidiora E O and Ganiyu R A. Article: Modeling and Controlling Isolated Intersections using Simulated Annealing Approach. International Journal of Applied Information Systems 7(6):13-17, July 2014. BibTeX

    	author = "Ola B. O and Omidiora E. O and Ganiyu R. A",
    	title = "Article: Modeling and Controlling Isolated Intersections using Simulated Annealing Approach",
    	journal = "International Journal of Applied Information Systems",
    	year = 2014,
    	volume = 7,
    	number = 6,
    	pages = "13-17",
    	month = "July",
    	note = "Published by Foundation of Computer Science, New York, USA"


There have been concerted efforts from researchers to find efficient techniques for solving traffic congestion problems at road junctions over the years. Traffic congestion results in excess delays, fuel wastages, reduced safety, wear and tear on vehicles. This paper focuses on solving the problem of traffic congestion at isolated Cross and T-type intersections using simulated annealing approach. The existing simulated annealing model was formulated by adding a parameter (mLan) to the initial signal timing plan (iLan) to give the next guess signal timing plan. The formulated model was simulated on a MATLAB environment for twenty cycles with each cycle having two phases at Cross and T-type intersections under consideration. There were three (L1, L2 and L3) and four (L1, L2, L3 and L4) vehicle streams in the T-type and cross intersections, respectively. In the Cross type intersection, the results of the simulation revealed that L4 was the busiest and L3 was the least busy streams with the frequencies of 15 and 3 vehicles, respectively. Similarly, in the T-type intersection, L2 was the busiest and L3 was the least busy streams with the frequencies of 28 and 8 vehicles, respectively. The solution provided in this paper could be useful in studying and improving traffic flow at isolated Cross and T-type intersections.


  1. Diakaki, C. , Papageorgiou, M. and Aboudolas, K. (2002): "A multivariable regulator approach to traffic-responsive network-wide signal control", Control Engineering Practice, Vol. 10, No. 2, pp. 183-195.
  2. Di Febbraro, A. , Giglio, D. and Sacco, N. (2004): "On applying Petri nets to determine optimal offsets for coordinated traffic light timings", Proceedings of the 5th IEEE International Conference on Intelligent Transportation Systems, Singapore, pp. 687-706.
  3. Dotoli, M. , Fanti, M. P. and Meloni, C. (2006): "A signal timing plan formulation for urban network control", Contr. Eng. Pract. , vol. 14, pp. 1297-1311.
  4. Ganiyu, R. A. (2011): "Modelling and Simulation of Multi-Phase Traffic Light Controlled Intersections Using Timed Coloured Petri Nets", An unpublished Ph. D Thesis, Ladoke Akintola University of Technology, Ogbomoso, Nigeria.
  5. Ganiyu, R. A. , Olabiyisi, S. O. , Omidiora, E. O. , Okediran, O. O and Alo, O. O. (2011): "P- invariant Analysis of Timed Coloured Petri Net Models of Two Isolated Multi-Phase Traffic Light Controlled Intersections", International Journal of Applied Science and Technology, USA, Vol. 1, No. 4, pp. 29-41.
  6. Lee, A. D, Baker, B. and Spall, J. C. (2003): "A Genetic Algorithm for the Vehicle Routing Problem" IEEE Transactions on Automatic Control, Vol. 19, pp. 32-34.
  7. Lei, J. and Ozguner, U. (2001): "Decentralized hybrid intersection control", Proceedings of 40th IEEE International Conference on Decision and Control, pp. 1237-1242.
  8. Lo, H. K. (2001): "A cell-based traffic control formulation: strategies and benefits of dynamic timing plans", Transportation Science, Vol. 35, No. 2, pp. 148-164.
  9. Marvin, L. Manhein, (1979): "Fundamentals of Transportation Systems Analysis Basic Concepts", Massachusetts Institute of Technology, USA.
  10. Papageorgiou, M. , Diakaki, C. , Dinopoulou, V. , Kotsialos, A. and Wang, Y. (2003): "Review of road traffic control strategies", Proceedings of the IEEE, Vol. 91, No. 12, pp. 2043-2067.
  11. Schuster. J. I. (2001): "Traffic control at Road Junction Using Genetic Algorithm", National Research Council, Vol. 4, No 1, pp 22-30
  12. Wey, W. M. (2000): "Model formulation and solution algorithm of traffic signal control in an urban network", Computers, environment and urban systems, Vol. 24, pp. 355-377.


Traffic congestion, simulated annealing, vehicle stream, intersection, cycle.