Route-Based Dynamics Modeling and Tracking With Application to Air Traffic Surveillance

In transportation networks, the majority of moving vehicles are route-based or trajectory-scheduled. Taking advantage of such predictive information generally produces more accurate dynamic models and better surveillance performance. This paper is concerned with the route-based dynamic modeling alon...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2020-01, Vol.21 (1), p.209-221
Main Authors: Xu, Linfeng, Liang, Yan, Duan, Zhansheng, Zhou, Gongjian
Format: Article
Language:English
Subjects:
Acceleration
Aerodynamics
Atmospheric modeling
Computer simulation
Dynamic models
dynamics modeling
Economic models
Linearity
Markov processes
optimal filtering initialization
Stationary Markov process
Stationary processes
Surveillance
Tracking
Traffic surveillance
Trajectory
Transportation networks
Vehicle dynamics
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Summary:In transportation networks, the majority of moving vehicles are route-based or trajectory-scheduled. Taking advantage of such predictive information generally produces more accurate dynamic models and better surveillance performance. This paper is concerned with the route-based dynamic modeling along with the route-aided tracking. First, the evolution of the positions across the route is formulated as a stationary Markov process from the characteristics of the route-based dynamics, which follows that the second- and third-order models of the straight-line route-based motions are constructed. This novel modeling strategy is in reverse to the conventional ones starting from the acceleration and its resultant dynamic models are easy to implement due to the linearity with respect to the system states. Second, an optimal initialization technique for route-aided tracking is proposed by utilizing the stationary process information sufficiently. Furthermore, an extension to the circular route-based dynamic modeling and a combinational modeling structure are also presented. Finally, in the context of aerial surveillance, numerical simulations are provided to show the effectiveness of the proposed dynamic modeling and to verify the theoretical results given in the paper.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2018.2890570