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10 November 2021 Automatic roadway stack calibration based on geographic information system secondary development technique
Hao Liu, Yiying Zhang, Jiangxiang Hu, Ying Ma
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Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 120500B (2021) https://doi.org/10.1117/12.2613887
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China
Abstract
Roadway stack plays an indispensable role in the whole cycle of road exploration design, construction and maintenance management. However, due to human factors, the settlement error of road 100-meter piles between the actual station and the designed station is unavoidable, which has significant influences on the subsequent road maintenance management. In this paper, in order to calibrate this type of error, a calibration strategy and the Geographic Information System (GIS) secondary development is realized, which combines ArcGIS model builder with Python script. Finally, an automatic calibration tool is developed. The automatic batching processing method for the roadway stack calibration improves the accuracy and efficiency of the vehicle-based pavement maintenance.
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Hao Liu, Yiying Zhang, Jiangxiang Hu, and Ying Ma "Automatic roadway stack calibration based on geographic information system secondary development technique", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 120500B (10 November 2021); https://doi.org/10.1117/12.2613887
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KEYWORDS
Roads
Calibration
Process modeling
Data processing
Geographic information systems
Satellite navigation systems
Visual process modeling
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