Climbing lane traffic safety benefit calculation method based on inclination value matching
A calculation method and traffic safety technology, applied in the traffic control system, calculation, traffic flow detection of road vehicles, etc., can solve the problems of inaccurate acquisition of the net impact of climbing lanes, sample selection deviation, etc., to reduce the impact of confusion, The effect of improving accuracy
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specific Embodiment approach 1
[0021] Specific implementation mode 1: Combination figure 1 To explain this embodiment, the specific process of the calculation method of the slope-climbing lane traffic safety benefit based on the trend value matching in this embodiment is:
[0022] Step 1. Collect, process and organize data, and determine the control group and control group samples;
[0023] Step 2: Build a propensity value model and predict the propensity value of all samples;
[0024] Step 3: Sample matching based on propensity value;
[0025] Step 4. Check the balance of confusion variables. If it passes, proceed to the next step, otherwise return to step 2.
[0026] Step 5. Calculation of traffic safety benefit of climbing lanes.
specific Embodiment approach 2
[0027] Specific embodiment two: This embodiment is different from specific embodiment one in:
[0028] In step one,
[0029] (1) Collect data
[0030] Collect traffic accident data from various highway and road administration departments, including the time (year / month / day) and location (driving direction and station number) of the accident. Collect traffic volume data of each section of the expressway (between two adjacent interchanges) from the expressway flow observation station, and collect expressway construction charts from the road design department to obtain the expressway horizontal and vertical line and cross-sectional design data.
[0031] (2) Processing data
[0032] According to the direction of the expressway, the curvature of the horizontal curve, the longitudinal gradient, the number of lanes, the design speed, the climbing lane, the tunnel (the tunnel influence area is within 100m before and after the entrance), the interchange and the service area (the overpass is wit...
specific Embodiment approach 3
[0038] Specific embodiment three: This embodiment is different from specific embodiment one or two in:
[0039] In step two,
[0040] The meaning of the propensity value is the probability of any sample in the sample population entering the control group (that is, setting the climbing lane). Before constructing the propensity value model, firstly define the “climbing lanes (1 if there is 1 and 0 if no)” as the control variable; select the variables that have potential influence on the setting of the ramp lanes or accidents, and define them as confusion variables. Since the presence or absence of a ramp lane in the sample is related to the confusion variable, a statistical model can be constructed in which the ramp lane is the dependent variable and the confusion variable is the independent variable. In view of the fact that the climbing lane is a dichotomous variable (only two values are 0 and 1), the following binomial Logit model is constructed to predict the tendency value:
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