College of Engineering & Technology (Batten)


Civil & Environmental Engineering

Graduate Level


Graduate Program/Concentration

Transportation Engineering

Publication Date





Psychological factors such as aggressiveness and situational awareness can impact driving performance. Connected vehicles (CV), equipped with advanced sensors and able to communicate safety messages to drivers, have the potential to influence driving performance by altering drivers’ aggressiveness and situational awareness. This paper aims to investigate the impacts of the CVs on driving aggressiveness and situational awareness in highway crash scenarios where a primary crash has already occurred, and a second crash may occur as a result. To achieve this goal, a driving simulator experiment was conducted, and questionnaires focused on driving aggressiveness and CV effectiveness were distributed. Structural equation modeling (SEM) was used to examine the interrelationships between the use of CV alerts, psychological factors, driving behavior, and other factors. Two latent psychological factors were constructed in the SEM, namely, aggressiveness and unawareness, which were measured by statistical measures of speed, longitudinal acceleration, steering angle, brake, yaw, and lane offset while passing the crash scenes. The SEM has the advantage of achieving the measurement of latent psychological factors and interrelationship modeling simultaneously in one statistical estimation procedure. Results showed that the proposed CV alerts significantly improved aggressiveness and situational awareness. These findings provide insights into the development of driving assistance systems that take psychological factors into account.


Connected vehicle, Driving safety, Structural equation modeling, Human factors, Driving simulator


Civil Engineering | Transportation Engineering



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Investigating the Impacts of Connected Vehicles on Driving Aggressiveness and Situational Awareness in Highway Crash Scenarios: A Driving Simulator Study



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