Research Article
Research on the Route Pricing Optimization Model of the Car-Free Carrier Platform Based on the BP Neural Network Algorithm
Table 2
The calculation results of the degree of gray correlation.
| | Ranking | Indicator | Degree of relevance |
| | 1 | Total mileage of the route | 0.98274 | | 2 | Planned time | 0.94328 | | 3 | Vehicle tonnage | 0.83179 | | 4 | Urgency of demand | 0.82017 | | 5 | Vehicle length | 0.79424 | | 6 | Transport level | 0.63961 | | 7 | Destination outlets | 0.58013 | | 8 | Price adjustment ratio | 0.54481 | | 9 | Packing type | 0.40112 | | 10 | Originating outlet | 0.22149 | | 11 | Adjusted time | 0.20163 | | 12 | Line code | 0.11295 | | 13 | Business type | 0.06021 | | 14 | Type of requirement | 0.05916 | | 15 | Actual time | 0.05391 | | 16 | Type of price adjustment | 0.05128 | | 17 | Time allocated | 0.02012 | | 18 | Area type | 0.01232 | | 19 | Transaction time | 0.00412 | | 20 | Whether to renew | 0.00011 |
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