In 2005, the United States Congress created the second Strategic Highway Research Program (SHRP2) to address the challenges of moving people and goods efficiently and safely across the United States (Seacrest et al 2016). The second Strategic Highway Research Program was conducted with the intention of understanding how the driver’s behavior and performance affect traffic safety (SHRP2 2012). This includes understanding how the driver perceives his/her environment, interacts with the vehicle, interacts with other vehicles on the road, etc. The study consisted of nearly 3000 participants, scattered across six sites in the United States: Indiana, Pennsylvania, Florida, New York, North Carolina, and Washington. The participants agreed to have their vehicles fitted with sensors in order to capture data about their driving habits.
Statistical Analysis was conducted using R Studio. Data was extracted from the Insight website and saved as excel files in csv format. Code was written to filter and query the extracted data sets in order to perform analysis on them. The analysis involved merging and filtering certain data sets, writing functions to perform certain tasks such as generating data (events) associated with a particular driver and generating charts.
This project was conducted in order to study safety implications that arose as a result of travelling via ground especially on highways. The data provided by the SHRP2 study allowed us to further analyze these safety implications by separating the participants into different age groups and noting factors that affected crash rates
In 2005, the United States Congress created the second Strategic Highway Research Program (SHRP2) to address the challenges of moving people and goods efficiently and safely across the United States (Seacrest et al 2016). The second Strategic Highway Research Program was conducted with the intention of understanding how the driver’s behavior and performance affect traffic safety (SHRP2 2012). This includes understanding how the driver perceives his/her environment, interacts with the vehicle, interacts with other vehicles on the road, etc. The study consisted of nearly 3000 participants, scattered across six sites in the United States: Indiana, Pennsylvania, Florida, New York, North Carolina, and Washington. The participants agreed to have their vehicles fitted with sensors in order to capture data about their driving habits.
Statistical Analysis was conducted using R Studio. Data was extracted from the Insight website and saved as excel files in csv format. Code was written to filter and query the extracted data sets in order to perform analysis on them. The analysis involved merging and filtering certain data sets, writing functions to perform certain tasks such as generating data (events) associated with a particular driver and generating charts.
This project was conducted in order to study safety implications that arose as a result of travelling via ground especially on highways. The data provided by the SHRP2 study allowed us to further analyze these safety implications by separating the participants into different age groups and noting factors that affected crash rates