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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 the interference of vehicle speed planning accuracy, and achieve the effects of reducing energy consumption, reducing congestion, and reducing travel time.

Active Publication Date: 2018-12-21
BEIJING INSTITUTE OF TECHNOLOGYGY
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AI Technical Summary

Problems solved by technology

At the intersection of signal lights, there are uncertain factors such as the duration of red lights, pedestrian passing conditions, and vehicle congestion conditions, which interfere with the accuracy of vehicle speed planning.

Method used

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  • Data-driven intelligent and robust vehicle speed real-time planning method and system
  • Data-driven intelligent and robust vehicle speed real-time planning method and system
  • Data-driven intelligent and robust vehicle speed real-time planning method and system

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Experimental program
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specific Embodiment 1

[0090] Step 1: Based on the information transmission link of traffic infrastructure-cloud-vehicle-people, the vehicle segment the target line, and obtain the necessary information for the vehicle driving in the section, such as the length of traffic lights, congestion degree, etc., to form historical data set.

[0091] Step 2: According to the data set obtained in step 1, get the random delay variable α for each road section i And calculate its probability density function f(α i ), combined with the signal light information to obtain the "prohibited driving time (OFF)" variable and probability distribution spectrum, the variables are updated with the data update.

[0092] Step 3: The complete vehicle controller (HCU) establishes the vehicle dynamics model and road model based on the information obtained in step 1, and constructs the optimal model with chance constraints based on the OFF, α, and f(α) variables in step 2. Optimal speed planning issues.

[0093] Step 4: HCU uses DP or ...

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Abstract

The invention discloses a data-driven intelligent and robust vehicle speed real-time planning method and system. The data-driven intelligent and robust vehicle speed real-time planning method comprises the steps that vehicle driving information of all segments in an objective road segment is obtained; road segment random delay variables, probability density function corresponding to the random delay variables and no passing time in the road segment are obtained according to the driving information; a road model is established; a constraint condition of opportunity of the vehicle driving is determined according to the road model and the no passing time in the road segment; weight coefficients of fuel consumption, time and safety in the vehicle driving are obtained; a vehicle speed planningobjective function is established according to the objective road segment and the weight coefficients; and the vehicle speed planning objective function is solved according to a dynamic planning algorithm and the constraint condition of opportunity, and the optimal vehicle speed is obtained. According to the data-driven intelligent and robust vehicle speed real-time planning method and system, thecorresponding objective function can be established according to the requirement, and the corresponding vehicle speed optimized effect is achieved.

Description

Technical field [0001] The invention relates to the field of vehicle speed research, in particular to a data-driven intelligent robust vehicle speed real-time planning method and system. Background technique [0002] With the increase of road vehicles, traffic jams and traffic accidents often occur, and the increase in vehicle idling time will lead to an increase in energy consumption, especially at signal intersections, so it is very important to plan the speed trajectory. At signal intersections, there are uncertain factors such as the duration of red lights, pedestrian passing conditions, and vehicle congestion conditions, which interfere with the accuracy of vehicle speed planning. Summary of the invention [0003] The purpose of the present invention is to provide a data-driven intelligent robust vehicle speed real-time planning method and system, which can establish a corresponding objective function according to requirements and achieve a corresponding vehicle speed optimiz...

Claims

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Application Information

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IPC IPC(8): G08G1/052G08G1/08G06Q10/04G07C5/08
CPCG06Q10/04G07C5/0808G08G1/052G08G1/08
Inventor 孙超孙逢春李军求闵青云孙海迪郭婷婷励夏
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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