Are Form 843 Estimated 2011-2023

Traffic congestion is a major problem throughout the world it impedes our mobility pollutes the air waste fuel and hampers economic growth thanks to the dramatic rise of sensors like loop detectors mobile phones traffic cameras and self dragon cars for the first time a flood of truly real-time data can help eliminate our traffic congestion problems in our research center at USC for the past five years we have been collecting data for more than 15,000 loop detectors installed on the highway and arterial streets of Los Angeles County each time a car passes through the loop detector information such as traffic speed is collected and stored into the databases there are many challenges in collecting cleaning storing and learning from such a large-scale data set we have developed an archived data management system to address those challenges with this high fidelity data in this paper we studied the traffic prediction problem our objective is to predict the traffic situation in the near future for each and every road segment we propose a latent space model to learn the spatial and temporal attributes of vertices in the road network these attributes can estimate how traffic patterns for Manny ball with the success of our prediction technique we can use it for various applications such as better route navigation urban planning and traffic regulations.