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Reseach Article

Architectural Framework for Intelligent Vehicle-Pedestrian Traffic Control

by Oyenike M. Olanrewaju, A. A. Obiniyi, S. B. Junaidu
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 16
Year of Publication: 2018
Authors: Oyenike M. Olanrewaju, A. A. Obiniyi, S. B. Junaidu

Oyenike M. Olanrewaju, A. A. Obiniyi, S. B. Junaidu . Architectural Framework for Intelligent Vehicle-Pedestrian Traffic Control. International Journal of Applied Information Systems. 12, 16 ( October 2018), 5-15. DOI=10.5120/ijais2018451776

@article{ 10.5120/ijais2018451776,
author = { Oyenike M. Olanrewaju, A. A. Obiniyi, S. B. Junaidu },
title = { Architectural Framework for Intelligent Vehicle-Pedestrian Traffic Control },
journal = { International Journal of Applied Information Systems },
issue_date = { October 2018 },
volume = { 12 },
number = { 16 },
month = { October },
year = { 2018 },
issn = { 2249-0868 },
pages = { 5-15 },
numpages = {9},
url = { },
doi = { 10.5120/ijais2018451776 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-07-05T19:07:42.935488+05:30
%A Oyenike M. Olanrewaju
%A A. A. Obiniyi
%A S. B. Junaidu
%T Architectural Framework for Intelligent Vehicle-Pedestrian Traffic Control
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 16
%P 5-15
%D 2018
%I Foundation of Computer Science (FCS), NY, USA

There exist different modes of transportation in which many flow entities have to share the transportation infrastructures. Of particular concern is the safety implication of sharing road infrastructures that bring pedestrians and vehicles into close contact. This make the issue of dynamic traffic control paramount in other to ensure safety of lives. Intelligent transportation research mostly focuses on sensitive system that manages signal timing for vehicular signals without incorporating adequate pedestrian facilities. This research work designed an architectural framework incorporating pedestrian facility into vehicular traffic control with intelligent reasoner for optimized management of both pedestrian crossing and vehicle driver’s demand. The methodology involves review of related literatures, architectural design of the framework and intelligent fuzzy logic model. MATLAB was used to implement the reasoner that harmonized both vehicular traffic’s variables and pedestrian traffic’s variables to dynamically generate the signal timing. A four-way intersection road network in Kano, Nigeria was modeled using VISSIM traffic simulator as test bed. The interfacing of MATLAB and VISSIM was done with VISSIM COM for the communication flow. Traffic network scenario experiments were performed as signalized fixed time traffic control and as Fuzzy Intelligent Traffic Control (FITC) using the developed framework. From the evaluation of the system, the FITC achieved average improvement of 53.19% over fixed time traffic control, FITC Pedestrian delay improved by 13.13% over fixed time.

  1. Agarwal, N. K., (2011) Estimation Of Pedestrian Safety At Intersections Using Simulation And Surrogate Safety Measures. University of Kentucky Doctoral Dissertations. Paper 835. retrieve on 5/10/2015
  2. Akomolafe B. (2014) Transport Leave a comment daily newswatch, July 17, 2014
  3. Alam J. and Pandey M. K.(2014) Development of Intelligent Traffic Light System Based on Congestion Estimation Using Fuzzy Logic; IOSR Journal of Computer Engineering(IOSR-JCE) Vol. 16 Issue 3, Ver. VI, pp 36-44.
  4. Alexandersson S. and Johansson E. (2013) Pedestrians in microscopic traffic simulation Comparison between software Viswalk and Legion for Aimsun; Department of Civil and Environmental Engineering Division of GeoEngineering, Chalmers University Of Technology Othenburg, Sweden pp 69-75
  5. Aworemi, J. R., Abdul-Azeez, I. A., Olabode, S. O.(2010) Analytical study of the causal factors of road traffic crashes in southwestern Nigeria International Research Journals Vol. 1(4): 118-124 May 2010
  6. Banks J., Carson J. S., Nelson B. L. and Nicol D. M.(2013) Discrete-Event System Simulation Fourth Edition.
  7. Chattaraj U and Panda M. (2005 ) Some Applications Of Fuzzy Logic In Transportation Engineering. Http://[Read-Only]%20[Compatibility%20Mode].pdf
  8. Chavan S. S., Deshpande R. S., and Rana J. G. (2009); Design Of Intelligent Traffic Light Controller Using Embedded System. Second International Conference on Emerging Trends in Engineering and Technology, ICETET-09. GH Raisoni College of Engineering, Nagpur, India
  9. Chen L., Chen C.and Ewing R. (2012) The Relative Effectiveness of Pedestrian Safety Countermeasures at Urban Intersections — Lessons from a New York City Experience TRB 2012 Annual Meeting.
  10. Hassan S. A. (2013) Improving Pedestrian Facilities At Signalized Crossings, Thesis For The Degree Of Doctor Of Philosophy University Of Southampton Faculty Of Engineering And The Environment. Retrieve 6th June 2016.
  11. Hoogendoorn–Lanser, S. (1998), Structured modelling of multi Structured modelling of modal urban travel choice behaviour, 4th TRAIL PhD Congress.
  12. Johansson F. (2013) Microscopic Modeling and Simulation of Pedestrian Traffic Department of Science and Technology, Linköping University, SE-Norrköping, Sweden.
  13. Kheradmandi Q.S.B and Strøm F. (2012) Controlling a Signal-regulated Pedestrian Crossing using Case-based Reasoning, Norwegian University of Science and Technology.
  14. Koukol M. and Pribyl O. (2013) Design Methodology of a Fuzzy Control System in PTV Vissim Transactions On Transport Sciences Volume 6 Number 4 DOI: 10.2478/v10158-012-0045-9, pp177,
  15. Kuan-min C. ,Xiao-qiang L., Hai J. and Yang-dong Z.(2010) Towards the pedestrian delay estimation at intersections under vehicular platoon caused conflicts Scientific Research and Essays Vol. 5(9): pp. 941-947, ISSN 1992-2248 © 2010 Academic Journals.
  16. Kothuri S. M. (2014) Exploring Pedestrian Responsive Traffic Signal Timing Strategies in Urban Areas, Portland State University, May 10th 2016
  17. Moreland M. (2015) Pedestrian Bridges: Safety vs. Convenience
  18. Olanrewaju O. M., Obiniyi A. A. and Junaidu S. B. (2017) Fuzzy Logic Concept for Safety Driven Vehicle-Pedestrian Traffic Interaction International Journal of Computer Applications (0975 – 8887) Volume 167(1), pp 24-28
  19. Papacostas C.S. and Prevedouros P. D.(2008) Transporation Engineering and Planning, third Edition, Prentice-Hall of India Private Limited.
  20. Tan K.K., Kalid M. and Yusof R.(1996) Intelligent Traffic Lights Control by Fuzzy Logic; Malaysian Journal of Computer Science, 9(2):29-35
  21. Yulianto B. and Setiono (2012) Traffic Signal Controller for Mixed Traffic Conditions IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) ISSN: 2278-1684 Volume 4, Issue 1 (Nov-Dec. 2012), PP 18-26
  22. Zadeh L. A. (1975) The Concept of a Linguistic Variable and its Application to Approximate Reasoning-Information Sciences 8, 199-249,
Index Terms

Computer Science
Information Sciences


Fuzzy Logic Intelligent Pedestrian Vehicular traffic control