Microscopic Traffic Modeling Inside Intersections: Interactions Between Drivers

Microscopic traffic flow models enable predictions of operations, which allows engineers to assess the efficiency and safety effects roadway designs. Modeling vehicle trajectories inside intersections is challenging because there an infinite number possible paths in a two-dimensional space, drivers can simultaneously adapt their speeds as well. To date, human driver for simultaneous longitudinal lateral control based on infrastructure characteristics interactions with other intersection are still lacking. The contribution this paper threefold. First, it proposes integrated microscopic model describe human-driven maneuvers under interactions. Drivers plan heading acceleration predicted future minimize costs representing undesirable situations. works joint optimization interaction cost term. weights associated reflect how selfish or altruistic are. Second, proposed endogenously gives order vehicles case crossing paths. Third, develops clustered validation method interacting vehicles, account interdriver variations. Results show that accurately passing orders maneuvers, paths, against empirical data. be applied various Funding: This work was supported by National Natural Science Foundation China [Grants 71971140 52122215] Shanghai [Grant 20ZR1439300].