Beidou accurate space-time bus station real-time information service fusion processing working method and system device
A bus platform and service integration technology, applied in traffic control systems, road vehicle traffic control systems, satellite radio beacon positioning systems, etc., can solve the problem of inability to accurately predict the waiting time of passengers and the inability to accurately display buses Problems such as location information and intelligent transportation systems are not perfect enough to achieve the effect of shortening the information update cycle, improving positioning accuracy, and ensuring accuracy
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Embodiment 1
[0076] A Beidou precise space-time bus platform real-time information service fusion processing method, including:
[0077] (1) Real-time collection of precise coordinate information of the bus, precise coordinate information of the parking area A B C of the bus platform, information on the expected arrival time of the bus at the bus platform, and advertisement information through the bus platform information sending and receiving unit;
[0078] (2) Through the Beidou NTP time synchronization processor, the traffic control center, the bus station control center and all buses are uniformly timed to ensure the accuracy of system operation and the reliability of information;
[0079] (3) Match the precise coordinate information of the bus stop parking area A B C with the real-time precise coordinate information of the bus through the micro control unit of the bus stop:
[0080] (4) Display the real-time location of the bus and passengers through the passenger App, as well as the ...
Embodiment 2
[0083] A kind of Beidou precise space-time bus platform real-time information service fusion processing working method as described in embodiment 1, its difference is, in described step (1), the method for the accurate coordinate information of described collection bus is, for Beidou satellite The positioning system and inertial navigation system use the integrated navigation Kalman filter positioning algorithm:
[0084] Kalman filter state equation:
[0085] x k =A k-1 x k-1 +w k-1 (I)
[0086] x in formula (I) k is the state vector of the system; w k-1 is the system process noise; A k-1 for t k-1 time to t k The state transition matrix at each moment.
[0087] Its state vector is:
[0088] [x y z v x v y v z δt u δf u ] T
[0089] It includes three position components (x y z), three velocity components (v x v y v z ) and two variables of the receiver clock (δt u δf u );
[0090] The constant coefficient state matrix is:
[0091]
[0092] A...
Embodiment 3
[0111] As described in Embodiment 2, a Beidou precise space-time bus platform real-time information service fusion processing working method, the difference is that in the step (3), ΔxΔyΔz is set to be the difference between the coordinates of the bus and the coordinates of the parking area, then,
[0112] Example by Figure 4 The process shown is matched.
[0113] In step (4), the estimated time of arrival of the bus at the bus station and the expected waiting time of the passengers after arriving at the bus station, the forecasting method is a time-of-arrival forecasting method that integrates historical and real-time data.
[0114] Preferably according to the present invention, in step (4), the arrival time prediction method of the fusion history and real-time data is a method based on SVM and H ∞ Filtered dynamic fusion prediction estimation method:
[0115] Such as Figure 5 As shown, according to the observation equations of multiple different sensors, a series of s...
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