Traffic Signal Phase and Timing Estimation From Low-Frequency Transit Bus Data

Abstract

The main reason for such systems would be to alleviate traffic congestion that is available in each and every major city. This project is for solving the problem by collecting traffic data, producing traffic estimates, and providing drivers with location-specific information. The Present methods designed for getting the present location through GPS. But no possibility of route map to other place from present place. Moving to desired place has become difficulty to the driver and also the traffic density in that route. The proposed method using the smart phone based traffic information system. Here TIS information is collected based on the IR Sensors that are connected with each other based on the distance which make us to know the information that number of vehicles moving on road with that information we can change the direction of route based on the number vehicles moving. This task that can’t be accomplished only by depending around the security from the mobile-to-cellular infrastructure communication. But also as TISs require fine-grained location information, the privacy from the adding participants must be protected. We have to ensure their security and privacy as well as their effectiveness (e.g., precision).

This paper used the condition of the available facilities like Road maps, path ways and available telecommunication infrastructure. Growing smart phone transmission combined with the wide coverage of cellular infrastructures, renders smart phone based traffic human resources (TISs)  this is an extensive solution for smart phone-based traffic estimation that is known as secure and privacy protecting. We provide a complete-blown implementation on actual smart phones, along with a comprehensive assessment of their precision and efficiency. Our results make sure smart phone-based TISs can provide accurate traffic condition estimation while being secure and privacy protecting.