Low-carbon travel carbon emission reduction verification method and system based on travel chain big data
A carbon emission reduction and big data technology, applied in the field of low-carbon travel carbon emission reduction verification, can solve the problem of mileage correction without considering forged travel records, insufficient low-carbon travel modes, and insufficient accuracy of mileage verification data, etc. problems, to achieve the effect of alleviating traffic congestion, ensuring scientificity and accuracy
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[0111] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0112] Embodiment 1 of the present invention proposes a low-carbon travel carbon emission reduction verification method based on travel chain big data, and the method includes:
[0113] Step 1: Travel Mode Identification
[0114] Set reasonable thresholds for the four fields of average speed, maximum speed, travel distance (the original travel distance in the travel data), and travel time in the walking, bicycle, and electric bicycle travel data, and perform preliminary cleaning on the walking, bicycle, and electric bicycle data. Keep data within the threshold. The specific threshold range is as follows:
[0115]
[0116] Step 2: Fixed Sample Size Sampling
[0117] The data obtained are all travel data; walking bicycle electric bicycles from Gaode Baidu, and bus rail travel data from the bus rail system; sampling is to improve calculat...
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