This project work is an attempt to control the speedof the vehicle designed with computer software to enable thethird party or owner to get the location, speed and activity of thedriver. To achieve this, the system can transmit the informationin real time. The use of GSM/GPRS technologies allows thesystem to track the objects and provide the up-to-dateinformation. This information is authorized to specific users over the internet as the server gets the information. It is the tele-mointoring system to transmit data to the remote user. Thusthe applications are used in real time traffic surveillance. Thisstudy proposes a prototype model for location tracking usingGeographical Positioning System (GPS) and Global System forMobile Communication (GSM) technology. The development isbased on the windows phone 8 application by means it canprovide flexibility and portability for the user to get the information from anywhere. As these GPS technologies havinggreater range of frequencies, the user can get the information asquicker as possible. This system is very useful to speed control atspecific traffic roads.

These days, mass-produced vehicles benefit from research on Intelligent Transportation System (ITS). One prime example of ITS is vehicle Cruise Control (CC), which allows it to maintain a pre-defined reference speed, to economize on fuel or energy consumption, to avoid speeding fines, or to focus all of the driver’s attention on the steering of the vehicle. However, achieving efficient Cruise Control is not easy in roads or urban streets where sudden changes of the speed limit can happen, due to the presence of unexpected obstacles or maintenance work, causing, in inattentive drivers, traffic accidents. In this communication we present a new Infrastructure to Vehicles (I2V) communication and control system for intelligent speed control, which is based upon Radio Frequency Identification (RFID) technology for identification of traffic signals on the road, and high accuracy vehicle speed measurement with a Hall effect-based sensor. A fuzzy logic controller, based on sensor fusion of the information provided by the I2V infrastructure, allows the efficient adaptation of the speed of the vehicle to the circumstances of the road. The performance of the system is checked empirically, with promising results.

CHAPTER ONE

CHAPTER TWO

CHAPTER THREE

CHAPTER FOUR

4.0 FUTURES, IMPLICATIONS AND CHALLENGES OF THE SYSTEM 

CHAPTER FIVE