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Map Matching Python Package Based on Hidden Markov Model(HMM)

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执行omitted_gps_state_df[net_field.GEOMETRY_FIELD] = [Point(loc) for loc in omitted_gps_points] 报错：ValueError: Length of values (260) does not match length of index (259)

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原因是补路补缺失的GPS点中 n_equal_points函数生成的GPS点数量不对，出错debug如图 ![微信图片_20240207164131](https://github.com/zdsjjtTLG/TrackIt/assets/31203989/568b99ba-6a9c-43d5-82ce-25c084d1f91e) n = 15, dense_line = line.segmentize(line_length / (1.0 * n)) 后是17个点，非16个点， line = LINESTRING (785021.6011706082 3349483.4291866357, 785217.0145380374 3348685.612349621)

Zheshun avatar Zheshun

执行omitted_gps_state_df[net_field.GEOMETRY_FIELD] = [Point(loc) for loc in omitted_gps_points]报错：ValueError: Length of values (260) does not match length of index (259)

原因是补路补缺失的GPS点中 n_equal_points函数生成的GPS点数量不对，出错debug如图 ![微信图片_20240207164131](https://github.com/zdsjjtTLG/TrackIt/assets/31203989/568b99ba-6a9c-43d5-82ce-25c084d1f91e) n = 15, dense_line = line.segmentize(line_length / (1.0 * n)) 后是17个点，非16个点， line = LINESTRING (785021.6011706082 3349483.4291866357, 785217.0145380374 3348685.612349621)

Zheshun avatar Zheshun

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Map Matching Python Package Based on Hidden Markov Model(HMM)

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