Intelligent Transportation System using Image Processing Technique

日期 : Sep 2016 - Jun 2017

As the problem of urban traffic congestion spreads, there is a pressing need for the introduction of advanced technology and equipment to improve the state of-the-art of traffic control. Traffic problems are increasing because of the growing number of vehicles and the limited resources provided by current infrastructures. The simplest way for controlling a traffic light uses timer for each phase. Another way is to use electronic sensors to detect vehicles, and produce signal that cycles. We propose a system for controlling the traffic light by image processing. The system will detect vehicles through images instead of using electronic sensors embedded in the pavement. A camera will be installed alongside the traffic light. It will capture image sequences. Setting image of an empty road as reference image, the captured images are sequentially matched using image matching. For this purpose, edge detection has been carried out using Prewitt edge detection operator and according to percentage of matching traffic light durations can be controlled. Intelligent Transportation System (ITS) is an emerging transportation system which is comprised of an advanced information and telecommunications network for users, roads and vehicles. ITS transportation planning process differs from the traditional transportation planning process. The main objective of this group of services is to use real time information on the status of the transportation system to improve its efficiency and productivity and to mitigate the adverse environmental impacts of the system. This service collects the real-time data from the transportation system, processes it into usable information, and uses it to determine the optimum assignment of right-of-way to vehicles and pedestrians. This helps in improving the flow of traffic by giving preference to transit and other high occupancy vehicles or by adjusting the signal timing to current traffic conditions.