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A Modeling Method for Yellow Light Dilemma Region

A modeling method, yellow light technology, applied in the direction of instruments, data processing applications, calculations, etc., can solve the problems of inapplicable dynamic changes in the yellow light distressed area, difficult to reflect the model, etc., and achieve the effect of improving the level of traffic safety

Inactive Publication Date: 2018-09-07
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention aims to solve the problem that the existing model is difficult to reflect the dynamic change characteristics of the actual yellow light distress area and is not suitable for analyzing the distribution of the distress area under the countdown condition, and provides a modeling method for the amber light distress area

Method used

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  • A Modeling Method for Yellow Light Dilemma Region
  • A Modeling Method for Yellow Light Dilemma Region
  • A Modeling Method for Yellow Light Dilemma Region

Examples

Experimental program
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specific Embodiment approach 1

[0023] Specific implementation mode one: the example of this implementation mode figure 1 Shown is an overall flow chart of a modeling method for yellow light distress areas with and without countdown. The method of the present invention is by analyzing the formation of the yellow light distressed area, and proposes that the three parameters of the parking perception reaction time, acceleration, and deceleration in the distressed area model are basic assumptions such as functions of the vehicle speed when the amber light is turned on, and uses video observation and screen drawing The reference line method collects data such as the speed of the first stop and the last vehicle when the yellow light turns on and the distance to the stop line under the condition of whether there is a countdown or not, and screens the first stop and the farthest end of the stop when the yellow light turns on with or without a countdown. Based on the relevant data of driving, the relationship models...

specific Embodiment approach 2

[0033] Specific Embodiment 2: This embodiment differs from Specific Embodiment 1 in that in step 1, the formation of the yellow light distress area is the minimum distance from when the vehicle starts to brake to a complete stop when the yellow light is turned on, that is, the minimum parking distance x S The maximum distance from the vehicle that can safely pass through the intersection to the stop line when the amber light is on, that is, the maximum passing distance X C jointly determined, the specific calculation is as follows:

[0034]

[0035] where X S ——Minimum parking distance (m);

[0036] x C ——Maximum passing distance (m);

[0037] V 0 ——Vehicle speed when the yellow light is on (km / h);

[0038] δ 1 ——Parking perception reaction time (s), the value is 1.0s;

[0039] d——maximum deceleration (m / s 2 ), the value is 3.0m / s 2 ;

[0040] τ——the duration of the yellow light (s);

[0041] a——Maximum acceleration (m / s 2 ), the value is 0m / s 2 ;

[0042] δ ...

specific Embodiment approach 3

[0046] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is that: in the step two, it is assumed that the driver only considers whether the driver can pass the stop line within the interval of the yellow light, rather than whether he can pass the intersection; Perceptual reaction time δ 1 , The maximum deceleration d and the maximum acceleration a vary with the speed of the vehicle when the yellow light is on; assume that the driving perception reaction time is zero;

[0047] Minimum parking distance X S ,Expressed as:

[0048]

[0049] Maximum passing distance X C , which can be expressed as:

[0050]

[0051] Other steps and parameters are the same as those in Embodiment 1 or Embodiment 2.

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Abstract

Provided is a yellow light dilemma zone modeling method. The invention relates to a yellow light dilemma zone modeling method. In order to solve the problem that an existing model can hardly reflect the characteristics of dynamic change of a yellow light dilemma zone and is not suitable for analyzing dilemma zone distribution under the condition of countdown, the invention provides a yellow light dilemma zone modeling method. The method comprises the following steps: step 1, analyzing the formation of a yellow light dilemma zone; step 2, putting forward a basic hypothesis of modeling; step 3, collecting and processing related data; step 4, establishing a relational model of the perception reaction time and the speed when the yellow light is turned on; step 5, establishing a relational model of the deceleration and the speed when the yellow light is turned on; step 6, establishing a minimum stopping distance model; step 7, establishing a relational model of the acceleration and the speed when the yellow light is turned on; and step 8, establishing a maximum passing distance model, thus completing the yellow light dilemma zone modeling method. The yellow light dilemma zone modeling method of the invention is applied to the field of traffic safety.

Description

technical field [0001] The invention relates to a modeling method for a yellow light dilemma area. Background technique [0002] The intersection is the node of the road network, where the traffic flow in all directions converges, therefore, it is also a place where traffic accidents frequently occur. The yellow light dilemma is one of the main causes of traffic accidents at signalized intersections. When the amber light is on, vehicles on the approach road to a signalized intersection may be in the dilemma of being unable to stop safely at the stop line, or to pass through the intersection before the red light is on. Faced with such a predicament, if the driver chooses to stop, he needs to brake urgently, which will easily lead to a rear-end collision accident; if the driver chooses to continue driving, he cannot pass through the intersection before the red light turns on, or even run the red light, which may easily lead to a side collision accident. [0003] In order to ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/30
Inventor 张亚平付川云别一鸣程国柱蒋贤才杨龙海彭挺刘翰宁
Owner HARBIN INST OF TECH