Validating the Interval Valued Neutrosophic Soft Set Traffic Signal Control Model Using Delay Simulation

Abstract

Currently most signalized intersections in almost all developing countries use fixed time traffic controllers or pre-timed traffic lights. But as a real life situation, in addition to uncertainty and impreciseness there is also indeterminacy in traffic signal control constraints due to various factors like unawareness of the problem, inaccurate and imperfect data and poor forecasting in addition to uncertainty in the constraints. To overcome these interval valued neutrosophic soft
set traffic signal control model at four way isolated signalized intersections has been developed. The main aim of this research is to validate the IVNSS traffic signal control model and compare it with fixed time traffic signal control model using MATLAB simulation tool. Vehicle delay at the junction is used as a measure of effectiveness. The simulation is conducted for seven consecutive days from Monday up to Sunday for eight hours to reflect the different traffic flow
conditions. The simulated delay model results are analysed under 5 different scenarios. And results showed that in case of heavy traffic conditions vehicle delay under IVNSS traffic signal control model is minimized by 36 percent and under light traffic conditions the average vehicle delay is minimized by 73 percent when compared to fixed time traffic signal control model