Driving_score_estimation_project (18. 12. 26 ~)
- Related Paper : A Genetic Programming Approach for Driving Score Calculation in the Context of Intelligent Transportation Systems
test.json
- from csv file
driving_score_180ea.csv
- Search by google images, 182ea
driving_score_new.csv
- Search by google images, 12ea
Tmap_data.csv
- Data given by Professor, 15ea
DSI.py
- Safety Index model ( = Linear model )
- Input data : .csv file ( compliance, acceleration, deceleration, result )
- Output : RSME ( Root Square Mean Error )
- Safety Index model ( = Linear model )
DSI_json.py
- Safety Index model ( = Linear model )
- Input data : .json file ( header: { number: }, data: { compliance: , acceleration: , deceleration: , result: } )
- Output : RSME ( Root Square Mean Error )
- Safety Index model ( = Linear model )
DSI_sql.py
- Safety Index model ( = Linear model )
- Input data : connection with mysql db
- Output : RSME ( Root Square Mean Error )
- Safety Index model ( = Linear model )
RF.py
- Random Forest model
- Input data : .csv file ( compliance, acceleration, deceleration, result )
- Output : RSME ( Root Square Mean Error )
- Random Forest model
RF_json.py
- Random Forest model
- Input data : .json file ( header: { number: }, data: { compliance: , acceleration: , deceleration: , result: } )
- Output : RSME ( Root Square Mean Error )
- Random Forest model
RF_sql.py
- Random Forest model
- Input data : connection with mysql db
- Output : RSME ( Root Square Mean Error )
- Random Forest model
SVM.py
- Support Vector Machine
- Input data : .csv file ( compliance, acceleration, deceleration, result )
- Output : RSME ( Root Square Mean Error )
- Support Vector Machine
SVM_json.py
- Support Vector Machine
- Input data : .json file ( header: { number: }, data: { compliance: , acceleration: , deceleration: , result: } )
- Output : RSME ( Root Square Mean Error )
- Support Vector Machine
SVM_sql.py
- Support Vector Machine
- Input data : connection with mysql db
- Output : RSME ( Root Square Mean Error )
- Support Vector Machine
toJson.py
- Make .json file from csv file(or user data)
- Input data : .csv file ( compliance, acceleration, deceleration, result )
- Output : .json file ( data, # of data )
- Make .json file from csv file(or user data)
pymyquery.py
- Connecting mysql and python Testing code
- Input data : connection with mysql db
- Output : db data
- Connecting mysql and python Testing code