An Effective Hybrid Model for Expert Traffic Control System

Static traffic control lights, which are being used to control traffic today, may not be longer acceptable to use since it does not consider the importance of higher priority vehicles like ambulances, which need to be on time to save some patient and police, who may need to respond quickly to some disturbance (murder, riot, etc). This may be solved by using an adaptive traffic control algorithm. The two most prominent of these are the EDF and FP algorithms. Previously some research work was done on the performance of these algorithms where they are compared with static control and also compared with each other to evaluate the best one. However, it has been found that neither of these effectively solve the problem without causing significant delays to other vehicles. So, a hybrid model is proposed in which both FP and EDF algorithms are adopted and analyzed for specific traffic scenarios to cause a more effective solution. Furthermore, it has been shown that the results arising from the simulations done for this approach are more effective than those done for FP or EDF individually.