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

Call for Paper

-

February Edition 2019

International Journal of Applied Information Systems solicits high quality original research papers for the January 2019 Edition of the journal. The last date of research paper submission is January 15, 2019.

Architectural Framework for Intelligent Vehicle-Pedestrian Traffic Control

Oyenike M. Olanrewaju, A. A. Obiniyi, S. B. Junaidu in Information Systems

International Journal of Applied Information Systems
Year of Publication: 2018
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Oyenike M. Olanrewaju, A. A. Obiniyi, S. B. Junaidu
10.5120/ijais2018451776
Download full text
  1. Oyenike M Olanrewaju, A A Obiniyi and S B Junaidu. Architectural Framework for Intelligent Vehicle-Pedestrian Traffic Control. International Journal of Applied Information Systems 12(16):5-15, October 2018. URL, DOI BibTeX

    @article{10.5120/ijais2018451776,
    	author = "Oyenike M. Olanrewaju and A. A. Obiniyi and 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",
    	url = "http://www.ijais.org/archives/volume12/number16/1042-2018451776",
    	doi = "10.5120/ijais2018451776",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

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.

Reference

  1. Agarwal, N. K., (2011) Estimation Of Pedestrian Safety At Intersections Using Simulation And Surrogate Safety Measures. University of Kentucky Doctoral Dissertations. Paper 835. http://uknowledge.uky.edu/gradschool_diss/835 retrieve on 5/10/2015
  2. Akomolafe B. (2014) Transport Leave a comment daily newswatch, http://www.mydailynewswatchng.com/author/web-officer-2/ 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 http://www.interesjournals.org/ER
  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://dspace.nitrkl.ac.in/dspace/bitstream/2080/1179/2/fuzzy_transportation%20[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. http://eprints.soton.ac.uk 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, https://www.researchgate.net/publication/264638114
  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, http://pdxscholar.library.pdx.edu/open_access_etds May 10th 2016
  17. Moreland M. (2015) Pedestrian Bridges: Safety vs. Convenience http://www.mikeontraffic.com/pedestrian-bridge-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 www.ijcaonline.org/archives/volume167/number1/olanrewaju-2017-ijca-914058.pdf
  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 www.iosrjournals.org.
  22. Zadeh L. A. (1975) The Concept of a Linguistic Variable and its Application to Approximate Reasoning-Information Sciences 8, 199-249, http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.320.7063&rep=rep1&type=pdf

Keywords

Fuzzy Logic, Intelligent, Pedestrian, Vehicular traffic control