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In this work we describe the development of a computational model based on agents to simulate the two-second driving rule. In other words, we are interested in determining the traffic conditions under which the rule appears to be safe as well as those traffic conditions under which the rule has elements of risk. The model we develop considers the setting of parameters that have impact on the stopping distance. As a result, the experimental simulation allows us to examine and, in some cases, verify theoretical concepts of collisions. Our approach also illustrates how agent-based modeling offers a plausible alternative in representing complex systems such as vehicular traffic.

Multi-agent Approach to the Two-Second Driving Rule