Real-time multi-sensor multi-source network data fusion using dynamic traffic assignment models
By Enyang Huang, C. Antoniou, Yang Wen, Moshe E. Ben-Akiva, Jorge Lopes, J. Bento. 2009
21 citations recorded by the source corpus.
This paper presents a model-based data fusion framework that allows systematic fusing of multi-sensor multi-source traffic network data at real-time. Using simulation-based Dynamic Traffic Assignment (DTA) models, the framework seeks to minimize the inconsistencies between observed network data and the model estimates using a variant of the Hooke-Jeeves Pattern Search. An empirical validation is provided on the Brisa A5 Inter-City Motorway in the West coast of Portugal. The real-time network data provided by loop detectors, video cameras and toll counters is collected and fused within DynaMIT, a state-of-the-art DTA system. State estimation is first performed, yielding consistent approximation of the network condition. This is then followed by network state forecast, showing significantly improved Normalized Root Mean Square Error (RMSN) over alternative predictive systems that do not use real-time information to correct themselves.
Subfields: Building and Construction, Control and Systems Engineering, Transportation
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Citations in the corpus
- A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, methodology): “9 min Y N N [107] Traveler information estimation Traffic, weather data Linear weighted sum Arterial road data in Singapore Y N - - - - - Y N N [109] Traveler information estimation Traffic data Weighted average method Beijing traffic data Y N - - - - - N Y N [37] Position estimation Car and GPS dat”
- Estimate Dynamic Road Travel Time Based on Uncertainty Feedback (2014, background): “For this reason, providing estimation result with uncertain descriptions is a major challenge.”
- Bringing Richer Information with Reliability to Automated Traffic Monitoring from the Fusion of Multiple Cameras, Inductive Loops and Road Maps (2010, background): “Huang et al. [ 3 ] have combined cameras and loops, in addition to toll counters.”