# GAN-Based Generation of Synthetic Data for Vehicle Driving Events
## 2 Materials and Methods
### Dataset Details
\begin{table}
\begin{tabular}{c c c} \hline \hline
**No.** & **Feature** & **Meaning** \\ \hline
1 & steering\_angle & Angle between the projection of a vehicle’s longitudinal axis and the line of intersection of the wheel plane and the road surface (sexagesimal degrees). \\ \hline
2 & speed & Speed of the vehicle in meters per second (m s\({}^{-1}\)). \\ \hline
3 & rpm & Speed of the vehicle engine in revolutions per minute (RPM). \\ \hline
4 & acceleration & Acceleration of the vehicle in meters per second squared (m s\({}^{-2}\)). \\ \hline
5 & throttle\_position & Sensor used to monitor the air intake of an engine (\%). \\ \hline
6 & engine\_temperature & Temperature of the air entering the engine (\({}^{\circ}\)C). \\ \hline
7 & system\_voltage & Voltage of the vehicle’s electrical system (V). \\ \hline
8 & distance\_travelled & Distance travelled by the vehicle in one unit of time (km). \\ \hline
9 & latitude & Angle between the plane of the earth’s equator and the line perpendicular to the standard spheroid at a given point on the earth’s surface (degrees). \\ \hline
10 & longitude & Distance on the earth’s surface east or west of a defined meridian, usually the meridian of Greenwich, England (0\({}^{\circ}\) longitude), expressed in angular measurements from 180\({}^{\circ}\) west (or \(-\)180\({}^{\circ}\)) to 180\({}^{\circ}\) East (degrees). \\ \hline
11 & heart\_rate & Number of contractions of the heart per minute. \\ \hline
12 & current\_weather &
\begin{tabular}{c} Categories for daily weather forecasts for a location \\ ([[https://developer.accuweather.com/weather-icons](https://developer.accuweather.com/weather-icons)]([https://developer.accuweather.com/weather-icons](https://developer.accuweather.com/weather-icons))) \\ (accessed on 3 October 2024). \\ \end{tabular} \\ \hline
13 & temperature & Temperature forecast for a specific location (\({}^{\circ}\)C). \\ \hline
14 & precipitation & Water that falls from the clouds towards the ground (mm). \\ \hline
15 & accidents\_onsite &
\begin{tabular}{c} Number of accidents recorded within an approximate \\ radius of 100 m around a specific geographic location. \\ \end{tabular} \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Dataset columns description. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**No.** & **Code** & **Feature** & **Minimum** & **Maximum** & **Average** \\ \hline
1 & ste & steering\_angle & \(-\)522.40 & 515.80 & 36.13 \\
2 & spe & speed & 0.00 & 92.00 & 49.16 \\
3 & rpm & rpm & 562 & 6219 & 2996.72 \\
4 & acc & acceleration & \(-\)1.59 & 2.09 & 0.18 \\
5 & thr & throttle\_position & 0.00 & 76.47 & 25.98 \\
6 & eng & engine\_temperature & 0.00 & 92.00 & 83.47 \\
7 & vol & system\_voltage & 0.00 & 13.00 & 12.59 \\
8 & dis & distance\_travelled & 0.00 & 36.33 & 19.82 \\
9 & lat & latitude & \(-\)0.33 & \(-\)0.12 & \(-\)0.23 \\
10 & lon & longitude & \(-\)78.43 & \(-\)78.32 & \(-\)78.36 \\
11 & hea & heart\_rate & 59.00 & 77.00 & 66.32 \\
12 & wea & current\_weather & 6 & 7 & 6.38 \\
13 & tem & temperature & 20.00 & 24.60 & 22.80 \\
14 & pre & precipitation & 0.30 & 0.50 & 0.42 \\
15 & acd & accidents\_onsite & 0 & 42 & 5.20 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Dataset statistics. Due to the high correlation of certain features which had values close to 1, it was necessary to eliminate some of them, as several features conveyed the same information, leading to redundancy, and would make the model training process more complex. It was also important to consider the criteria of other researchers, who suggested retaining some features despite their high correlation. After this process, the matrix in Figure 8 played a crucial role in selecting the features for the final dataset.