Abstract:<\/strong><\/p>\n Advanced traveler information systems are one component of intelligent transportation systems, and a major component is travel time information. Prediction Model have been adopted by many transit agencies for tracking their vehicles and predicting travel time in real time. It is a very important subject to improve the precision and reliability of the prediction model which can attract additional ridership, reduce passengers’ anxieties and waiting times at bus stop, and increase their satisfaction. Furthermore, it can promote the development of city public transportation. This paper presents an improved approach to predict the public bus arrival time based on location. After analyzing the components of bus arrival time systematically, the bus arrival time and dwell time at previous stops are chosen as the main input variables of the prediction model. Ebus Location Tracking System<\/strong> <\/em><\/a><\/p>\n