Real-time traffic updates in moving objects databases

This work addresses the problem of updating moving objects databases (MOD) using real-time traffic information. The motion of the object is represented by a trajectory, which can be constructed using the available electronic maps and the information about traffic patterns. However, the statistical information about traffic patterns may change due to accidents, extreme weather conditions, road work, etc. In this work, we present a model for updating the trajectories of moving objects when unexpected traffic conditions occur. Many sites provide up-to-date information about traffic conditions on major expressways. However, the unexpected traffic conditions may affect not only the vehicles on the expressways for which an on-line monitoring is provided, but may also have an effect on the streets near those expressways. We propose a model of this spill-over effect and we utilize it in the process of identifying the trajectories which are affected by the abnormal traffic.