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- W571888961 abstract "Fusion of probe and fixed sensor data has been widely used to estimate travel time on urban arterials. Considering different accuracies and limitations of traffic data from various sources, data fusion is applied to extend the spatial and temporal coverage of data. The majority of existing fusion techniques to estimate travel time are merely based on statistical methods without considerations for traffic engineering concepts. In addition, probe trajectories include much richer information of traffic conditions rather than only travel times, which could be used more effectively. In this research a data fusion technique is proposed to estimate vehicle trajectories using multi-sensor traffic data and concepts of traffic engineering which can fully utilize probe trajectory information. Proposed method is based on modeling vehicle trajectories by applying the simplified theory of 3D kinematic waves. Assuming a triangular shaped flow-density curve, variational formulation of kinematic waves is considered to estimate cumulative number of vehicles in time and space. Given cumulative number of vehicles as heights, a three dimensional surface is created over time-space plane and vehicle trajectories are estimated as contours of the surface. Once vehicle trajectories are estimated, they can be used for several purposes including travel time estimation and signal timing optimization. Performance of the method regarding travel time estimation is evaluated and it is shown that it is capable of estimating reliable travel times on urban arterials. At the end, application of the method for signal timing optimization is demonstrated." @default.
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- W571888961 date "2010-01-01" @default.
- W571888961 modified "2023-10-02" @default.
- W571888961 title "Data Fusion Concept to Estimate Vehicle Trajectories on Urban Arterials" @default.
- W571888961 hasPublicationYear "2010" @default.
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