Increasing availability of floating car data both historic in the form of trajectory data-sets and real-time in the form of continuous data stream paves the way for data driven traffic simulations. While historic data-sets can be used to construct spatiotemporal models of different roads, the continuous data streams from probe vehicles can be used for purposes such as current traffic-state estimation, incident detection and predicting short term evolution of traffic. A service which incorporates the aforementioned features will be invaluable for advanced traffic management and information services. In this paper the authors present a thorough analyses of using probe vehicles for reconstructing traffic state in real time, by employing detailed agent based microscopic traffic simulations of several scenarios on real world expressway.
['Abhinav Sunderrajan', 'Vaisagh Viswanathan', 'Wentong Cai', 'Alois Knoll']
Traffic State Estimation Using Floating Car Data