DSRC-Based Bus Trajectory Analysis and Prediction Near Signalized Intersection

The current study aims to identify all possible factors influencing bus travel time near signalized intersections and predict the arrival time to stop line under the heterogeneous and lane free traffic conditions. Preliminary analysis of the bus trajectories grouped them based on uniform and non-uniform movement and whether the bus stopped or not. The prediction model is formulated considering all possible events in which a bus can get detected near an intersection, especially when the bus arrival is during the later green and early red phases. The algorithm is developed integrating the bus, traffic, and control information. Implementation and evaluation of the models developed has been carried out to understand their performance under varying conditions. Bus information is collected using the DSRC (dedication short range communication) devices. Results showed very good prediction performance with the errors reducing as the bus approached the stop line. The findings of this study can be used to predict the arrival time of the bus at the stop line, which can further be used for various applications including bus signal priority.