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Abstract: Robust real - time detection and motion forecasting of traffic participants is necessary for autonomous vehicles to safely navigate urban environments. In this paper, we present RV-FuseNet ...
the time of accident notification to the accident site clearance. These two models can provide the estimated duration time by plugging in relevant traffic data as soon as an accident is notified. To select ...
and a combi- nation of a 3D Kalman Filter and Hungarian Algorithm, used for state estimation and data association respectively. We extend our previous work ellaborating a preliminary version of sensor fusion ...
that optimise local air quality by applying novel methods and taking into consideration population structures and traffic flows. Methods We will use high-resolution spatial data and linked electronic population ...
for traffic data analysis. Therefore, in the big data environment, it is necessary to study travel time prediction technology to more fully meet the data requirements in the operation analysis process of urban ...
clustering and prediction framework. The reported approach created meaningful clusters of data that correspond to real -world traffic conditions and was sensitive to the quality of predictions. Another ...
] proposed a graph convolutional network with LSTM to capture spatiotemporal features in urban road travel time data . A graph-based deep learning approach is presented in [36]. The model gives promising ...
to calculate the final fusion estimation result at the kth moment. CAKF model Consider the discrete time stochastic system as shown by the state -space model. (9) (10) Where k is the discrete time index, xk ...
complex, posing tremendous challenges for the real - time calculation of city-scale system operation management. To address this problem, a critical approach is accurate short-term multi-zone taxi demand ...
has the advantages of high data dimension, real order and self-correlation between data [28]. Time -series forecasting methods have been used in many fields in recent years [29]. Pertaining to time ...
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