A Microscopic Traffic Model Considering Time Headway and Distance Headway

Abstract

A microscopic traffic model is presented which employs differences in velocity to characterize driver behavior. The Intelligent Driver (ID) model is based on an acceleration constant which cannot capture different traffic conditions. Further, it is not based on traffic physics and so can produce inaccurate results. The proposed model is an improved ID model and both are evaluated on a 2000 m circular road. The results obtained show that the proposed model can appropriately characterize traffic flow and density. Further, the variations in flow and velocity are smoother than with the ID model. This is because the proposed model is based on actual traffic parameters rather than an unrealistic traffic exponent.

Validating a data-driven framework for vehicular traffic modeling

“…The performance of SINDy-PI will be assessed by its ability to accurately retain the compulsory terms, determine their correct coefficients, and reject the redundant terms. When constructing the library, we set the maximum exponent for x to 4 and for u to 2, resulting in terms with highest power of 6 (x 4 1 u 2 1 , x 4 1 u 1 u 2 . .…”

“…A popular approach is agent-based models, which create a road network, add agents to it, and define their behavior and rules of interaction [3]. Traffic flow simulation software applications have been developed based on microscopic agent-based modeling, including MovSim [4,5], SUMO [6,7], MITSIM [8,9]. Microscopic agent-based models consider the driver and vehicle as one entity and the movement of every driver-vehicle unit is simulated, considering car-following dynamics [9,10], lane-changing behavior [11,12], gap acceptance maneuvers [13], and movement at intersections [14].…”