Estimating Traffic Intensity at Toll Gates Using Qeueueing Networks

Traffic information generation is a routine-like operation that is done on a daily basis at any public gate. A toll gate is a public roadway by which people enter and leave a public organisation. The existing models give premium consideration to security over prompt services and as such associated with processes that have high cost of implementation, inaccuracy from complex method as well pose other technical problems such as delay. This research presents an automated procedure for monitoring traffic at toll gates to give the best compromise among the conflicting objectives of payment, security and good services. The system gathers information about the traffic situation with respect to the license plate number captured from each vehicle that passes through the toll gate and as well captures data such as arrival speed, arrival time and date and uses this data as input to generate traffic report/information on a daily basis. Experimentally the system shows that it can effectively capture the vehicle video and detect the license plate in day time, showing accuracy of about 85% to 90%, practical results based on actual data are included.

@article{R2014,
  title     = {Estimating Traffic Intensity at Toll Gates Using Qeueueing Networks},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {5},
  number    = {4},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Vincent O. R and Olayiwola O. E. and Kosemani O. O.},
  doi       = {10.14569/IJACSA.2014.050419},
  url       = {https://doi.org/10.14569/IJACSA.2014.050419}
}