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ÇѱÛÁ¦¸ñ(Korean Title) |
OBDII µ¥ÀÌÅÍ ±â¹ÝÀÇ ½Ç½Ã°£ ¿¬·á ¼Òºñ·® ¿¹Ãø ¸ðµ¨ ¿¬±¸ |
¿µ¹®Á¦¸ñ(English Title) |
A Modeling of Realtime Fuel Comsumption Prediction Using OBDII Data |
ÀúÀÚ(Author) |
¾çÈñÀº
±èµµÇö
ÃÖÈ£¼·
Hee-Eun Yang
Do-Hyun Kim
Hoseop Choe
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¿ø¹®¼ö·Ïó(Citation) |
VOL 10 NO. 02 PP. 0057 ~ 0064 (2021. 02) |
Çѱ۳»¿ë (Korean Abstract) |
ÀÚÀ²ÁÖÇàÂ÷ ½Ã´ë°¡ µµ·¡ÇÏ¸é¼ ECU (Electronic Control Unit)´Â Á¡Â÷ °íµµÈµÇ°í ÀÖ°í, ÀÌ¿¡ µû¶ó Â÷·®¿¡¼ Á¤È®ÇÑ µ¥ÀÌÅ͸¦ ÃßÃâÇÏ°í ºÐ¼®ÇÏ·Á´Â ¿¬±¸°¡ ´Ù¾çÇÏ°Ô ½ÃµµµÇ¾î ¿Ô´Ù. ±×·¯³ª ECU´Â Â÷·® Á¦Á¶»çº°·Î »óÀÌÇÑ ÇÁ·ÎÅäÄÝÀ» °¡Áö°í ÀÖ¾î »ó¿ë ´Ü¸»±â·Î´Â Á¤È®ÇÑ µ¥ÀÌÅÍ ÃßÃâ°ú ºÐ¼®ÀÌ ¾î·Æ´Ù. º» ¿¬±¸¿¡¼´Â Á¤È®ÇÑ Â÷·® µ¥ÀÌÅ͸¦ ÃßÃâÇϱâ À§ÇÏ¿© Àü¿ë Æß¿þ¾î¸¦ °³¹ßÇÏ¿© Â÷·®ÀÇ 2019³â 1¿ùºÎÅÍ 2¿ùÀÇ ½ÇÁ¦ ÁÖÇ൥ÀÌÅÍ 53,580°ÇÀÇ µ¥ÀÌÅ͸¦ ÃßÃâÇÏ¿´À¸¸ç, 20ȸ°¡ ³Ñ´Â ½ÇÁ¦ µµ·Î ÁÖÇàÀ» ÅëÇؼ µ¥ÀÌÅÍÀÇ Á¤È®µµ¸¦ °ËÁõÇÏ¿´´Ù. ÀÌ·¯ÇÑ µ¥ÀÌÅ͸¦ ¹ÙÅÁÀ¸·Î ½Ç½Ã°£ ¿¬·á ¼Òºñ·® ¿¹Ãø ¸ðµ¨ÀÇ Á¤È®µµ¸¦ ³ôÀ̱â À§ÇÏ¿© ½ºÅÂÅ· ¾Ó»óºí ±â¹ýÀ» ÀÌ¿ëÇÏ¿´´Ù. º» ¿¬±¸¿¡¼´Â º£À̽º ¸ðµ¨·Î Ridge, Lasso, XGBoost, LightGBMÀÌ »ç¿ëµÇ°í ¸ÞŸ ¸ðµ¨Àº Ridge°¡ »ç¿ëµÇ¾úÀ¸¸ç, ¿¹Ãø ¼º´ÉÀº MAE 0.011, RMSE 0.017·Î ÃÖÀûÀÇ °á°ú¸¦ º¸¿´´Ù.
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¿µ¹®³»¿ë (English Abstract) |
This study presents a method for realtime fuel consumption prediction using real data collected from OBDII. With the advent of the era of self-driving cars, electronic control units(ECU) are getting more complex, and various studies are being attempted to extract and analyze more accurate data from vehicles. But since ECU is getting more complex, it is getting harder to get the data from ECU. To solve this problem, the firmware was developed for acquiring accurate vehicle data in this study, which extracted 53,580 actual driving data sets from vehicles from January to February 2019. Using these data, the ensemble stacking technique was used to increase the accuracy of the realtime fuel consumption prediction model. In this study, Ridge, Lasso, XGBoost, and LightGBM were used as base models, and Ridge was used for meta model, and the predicted performance was MAE 0.011, RMSE 0.017.
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Å°¿öµå(Keyword) |
¿¬·á ¼Òºñ·®
¿¹Ãø¸ðµ¨
½ºÅÂÅ· ¾Ó»óºí
ȸ±Í¸ðµ¨
OBDII
Fuel Consumption
Prediction Model
Stacking Ensemble
Regression Model
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