Evaluating the effectiveness of âSmart Pedalâ systems for vehicle fleets
收藏DataONE2023-05-21 更新2024-06-08 收录
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California has major initiatives for reducing greenhouse gas (GHG) emissions by 40% below 1990 levels by 2030, and 80% reduction below 1990 levels by 2050. In recent years, there have been a number of âSmart Pedalâ systems that emerged, both as automotive OEM equipment and as third-party hardware. These âSmart Pedalâ systems can be installed in vehicles with the potential to reduce fuel consumption and GHG emissions by smoothing a driverâs acceleration and deceleration patterns, with little effect on travel time or safety. This research investigates the effectiveness of a select âSmart Pedalâ system in reducing fuel consumption and GHG emissions. The SmartPedalTM technology was evaluated using six Caltrans vehicles, each monitored for two data collection periods: 1) without the SmartPedalTM device, to collect the baseline data sets,  and 2) with the SmartPedalTM device, to collect a comparison data set with the âSmart Pedalâ technology. The collected data is presented here., Data were collected using Global Positioning Systems (GPS) enabled Engine Control Unit (ECU) data loggers from the HEM corporation. The raw data files were converted to .csv files using HEM software. The HEM software also provides fuel economy based on the Mass Air Flow (MAF) sensor which was available for each test vehicle. Recorded GPS data was used for map matching to determine road grade and road type. This information is provided here, when available, however, GPS data is not provided due to privacy-related restrictions.  , The README file provides information on the data file name structure, test vehicle information, and a variable guide for the vehicle data files. The data files are in standard .csv format.
创建时间:
2025-07-21



