… on the missing traffic state estimation problem, especially for the traffic state estimation on
the … of missing traffic state estimation. We first divide the existing studies into three categories: …

… The data fusion version of DynaMIT outperformed the offline only version in state estimation.
However as expected, the predictions’ RMSNs for both models are low and comparable. (…

… A multi-source data-driven traffic control approach is developed to alleviate traffic overload
… In the proposed approach, the high-penetration feature of mobile-phone signalling data and …

… -time traffic state estimation system for fusing multi-source data, … The framework of real-time
traffic state estimation system … advanced data fusion system for real-time traffic state estimation…

… [12] applied a KF technique to produce traffic state estimation based on the fusion process
of GPS and RTMS data. The experiment is measured using accuracy to compare the accuracy …

… Data fusion techniques are often used to enhance traffic state estimation. The objective of
this 2 paper is to evaluate and validate the applicability of three different data fusion …

… Traffic state estimation refers to the process of the inference of traffic state variables (ie, average
speed, traffic … Finally, we will study traffic accident detection based on multi-source data, …

… status, thus providing a reliable parameter data for traffic managers. After the data fusion,
the multi-source traffic information can be a more reliable traffic information (Foschini et al., …

… diagnosis and repair, and confidence tensor data fusion has been proposed in this paper.
Figure 1 shows the overall logic structure of the proposed algorithm. Firstly, according to the …

… information from multi-source data and is suitable for solving such time series classification
problems with many features and large data … based on the fusion of multi-source data, which …