2019 Scientific Conference on Network, Power Systems and Computing
Recommend Driving Area-Route Based on Taxi Trajectory Experience
Lei Du, Hongyuan Yang
As the era of big data has arrived, it is no longer a problem to obtain sufficient GPS data for research and practical applications. The taxi trajectories contain the driving experience of the taxi driver. In this paper, we will use the trajectory experience of taxis to recommend the driving area-routes. We propose a grid method that can extract the trajectory information of a specific road segment efficiently. Then, we use the processed information to form a probabilistic statistical model of the recommended route. We compare the recommended routes at different times, and compare the recommended routes with the routes in Baidu navigation. It is recommended to select the optimal route according to different time periods, and the recommended routes are basically consistent with the results in the navigation.
Taxi trajectory, grid method, route recommendation
Cite this paper:
Lei Du, Hongyuan Yang, Recommend Driving Area-Route Based on Taxi Trajectory Experience. 2019 Scientific Conference on Network, Power Systems and Computing (NPSC 2019), 2019: 78-81. DOI: https://doi.org/10.33969/EECS.V3.018.