Traffic enforcement techniques are primarily based on which of the following?

Traffic enforcement techniques rely heavily on accident data and traffic volume because these factors provide critical insights into patterns and trends in road safety and accessibility. Analyzing accident data allows law enforcement to identify high-risk areas where crashes frequently occur, enabling targeted interventions and heightened enforcement efforts in those locations. Conversely, understanding traffic volume helps officers determine times and areas where congestion is likely to increase, allowing for proactive measures to manage traffic flow and reduce the likelihood of collisions.

By utilizing both data points, police departments can formulate strategic enforcement actions that not only respond to current issues but also work to prevent future incidents through informed decision-making based on concrete evidence. Effective traffic enforcement is thus a data-driven process rather than one based solely on subjective opinions or available resources.