HighlightsAccurate and efficient method for traffic speed estimation with floating car data.The method is consistent with the Three-Phase traffic theory.It requires only velocity data and no measurements of flow or density.Inherent quality value estimates the trustworthiness of the result.Evaluation with real data of two congestion scenarios shows promising results.
AbstractIn this paper, a novel freeway traffic speed estimation method based on probe data is presented. In contrast to other traffic speed estimators, it only requires velocity data from probes and does not depend on any additional data inputs such as density or flow information. In the first step the method determines the three traffic phases free flow, synchronized flow, and Wide Moving Jam (WMJ) described by Kerner et al. in space and time. Subsequently, reported data is processed with respect to the prevailing traffic phase in order to estimate traffic velocities. This two-step approach allows incorporating empirical features of phase fronts into the estimation procedure. For instance, downstream fronts of WMJs always propagate upstream with approximately constant velocity, and downstream fronts of synchronized flow phases usually stick to bottlenecks. The second step assures the validity of measured velocities is limited to the extent of its assigned phase. Effectively, velocity information in space-time can be estimated more distinctively and the result is therefore more accurate even if the input data density is low.The accuracy of the proposed Phase-Based Smoothing Method (PSM) is evaluated using real floating car data collected during two traffic congestions on the German freeway A99 and compared to the performance of the Generalized Adaptive Smoothing Method (GASM) as well as a naive algorithm. The quantitative and qualitative results show that the PSM reconstructs the congestion pattern more accurately than the other two. A subsequent analysis of the computational efficiency and sensitivity demonstrates its practical suitability.
A phase-based smoothing method for accurate traffic speed estimation with floating car data
Tramsportation Research, Part C: Emerging Technologies ; 85 ; 644-663
2017-10-15
20 pages
Article (Journal)
Electronic Resource
English
Traffic speed estimation using temporal and spatial smoothing of GPS speed data
European Patent Office | 2015
|Link Average Speed of Traffic Flow Estimation Method Based on Floating Car
British Library Conference Proceedings | 2009
|Dynamic Traffic Information Estimation Based on Floating Car Data
Springer Verlag | 2018
|