Mobile Road Traffic Management System Using Weighted Sensor

Authors

  • Solomon Adegbenro Akinboro Bells University of Technology
  • Johnson A Adeyiga Bells University of Technology
  • Adebayo Omotosho Bells University of Technology
  • Akinwale O Akinwumi Bowen University Iwo, Osun State, Nigeria

DOI:

https://doi.org/10.3991/ijim.v11i5.6745

Keywords:

Congestion, Traffic Control, Mobile Devices, Alternative routes, road users.

Abstract


Vehicular traffic is continuously increasing around the world, especially in urban areas, and the resulting congestion has become a major concern to automobile users. The popular static electric traffic light controlling system can no longer sufficiently manage the traffic volume in large cities where real time traffic control is paramount to deciding best route. The proposed mobile traffic management system provides users with traffic information on congested roads using weighted sensors. A prototype of the system was implemented using Java SE Development Kit 8 and Google map. The model was simulated and the performance was assessed using response time, delay and throughput. Results showed that, mobile devices are capable of assisting road users’ in faster decision making by providing real-time traffic information and recommending alternative routes.

Author Biographies

Solomon Adegbenro Akinboro, Bells University of Technology

Department of computer science and IT Rank: Senior Lecturer

Johnson A Adeyiga, Bells University of Technology

Department of computer science and IT Rank: Lecturer 1

Adebayo Omotosho, Bells University of Technology

Department of computer science and IT Rank: Lecturer 1

Akinwale O Akinwumi, Bowen University Iwo, Osun State, Nigeria

Department of Computer Science and Information Technology, Rank: Lecturer 1

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Published

2017-07-24

How to Cite

Akinboro, S. A., Adeyiga, J. A., Omotosho, A., & Akinwumi, A. O. (2017). Mobile Road Traffic Management System Using Weighted Sensor. International Journal of Interactive Mobile Technologies (iJIM), 11(5), pp. 147–160. https://doi.org/10.3991/ijim.v11i5.6745

Issue

Vol. 11 No. 5 (2017)

Section

Papers

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