Bus tracking by computing cell tower information on Raspberry Pi

The smart city is the new concept that is now growing worldwide. The smart city contains small applications which will help the city life for easy and secure environment. The different factor of city life like weather, transportation, water, energy, traffic etc. are improved/handled and analyzed for Information Computing and used for predictive analysis. To create a smart city we need various types of new technologies and techniques like embedded system and wireless sensor. These are small and have low overhead or less power consumption these are used to collect and analyze information of the city factors. In this paper we use the small Linux board that is Raspberry Pi which is small in size and has low overheads. This will allows us to attach and program the different hardware/sensor modules which are used for information gathering and predictive analysis in smart city application. In this paper we used Raspberry pi with GPS and other sensors for secure and predictive bus transportation in schools and collages.