A data-driven intelligent and robust vehicle speed real-time planning method and system
An intelligent, robust, data-driven technology, applied in the field of vehicle speed research, can solve problems such as vehicle speed planning accuracy interference, and achieve the effects of reducing energy consumption, reducing congestion, and improving fuel economy.
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[0091] Step 1: Based on the information transmission link of traffic infrastructure-cloud-vehicle-human, the vehicle segments the target line, and obtains the necessary information of the vehicle driving in the road segment, such as the duration of traffic lights, congestion degree, etc., to form historical data set.
[0092] Step 2: According to the data set obtained in step 1, obtain the random delay variable α of each road section i And calculate its probability density function f(α i ), combined with signal light information to obtain the "prohibited driving time (OFF)" variable and probability distribution spectrum, and the variable is updated with the data update.
[0093] Step 3: The vehicle controller (HCU) establishes the vehicle dynamics model and the road model based on the information obtained in step 1, and constructs the most Optimal speed planning problem.
[0094] Step 4: HCU uses DP or other optimization algorithms to solve the vehicle speed planning proble...
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