Optimizing the Carpool Service Problem with Genetic Algorithm in Service-based Computing

In today’s world due to industrialization number of cars on roadways increased which causes traffic problems and fuel consumption increases. Carpooling System helps to reduce these problems. Carpooling System is based on artificial intelligence and cloud computing .We are going to implement this system for reducing traffic congestion problem. It is also known as BlueNet which consist of two modules Mobile Client Module and Cloud Carpool Service Module. In Mobile Client Module we are using android based phones so users can submit the carpool request through the handheld devices. In Cloud Global Carpool Service module, we are using Genetic Based Carpool Route and Matching Algorithm to match the requests. This Genetic Based Carpool Route and Matching Algorithm require less time to match large number of users as compare to other systems. It operates with less computational complexity therefore required less computing time.