Report on integration of the stochastic traffic simulation

Abstract

As part of the AutoDrive project, the OpenPASS framework is used to develop a cognitive-stochastic traffic flow simulation for urban intersection scenarios described in deliverable D1.14. This framework was adapted and further developed. The deliverable D5.13 deals with the construction of the stochastic traffic simulation. At this point of the process, the theoretical design aspects of D4.20 are implemented. D5.13 explains the operating principles of the different modules. This includes the foundations, boundary conditions, and mathematical theory of the traffic simulation.

What Do Traffic Simulations Have to Provide for Virtual Road Safety Assessment? Human Error Modeling in Traffic Simulations

“…More advanced models try to simulate the actual useful field of view (UFOV) [164]. The UFOV is represented as a two-or three-dimensional funnel, where information (speed, acceleration, position) about the surrounding agents can be perceived (see [116], [165], [166]). In this way, the ego agent has only up-to-date information about the observed area.…”

“…In addition, there are observation gazes, where other agents are fixated: First, if a collision is imminent and second, if the ego-agent follows a leading vehicle. How often each top-down gaze is triggered is also parametrized by a probability via the behavior configuration file [166].…”

“…Instead, agents have direct access to all vehicles and noise is subsequently added or kinematic values are not updated temporarily (see [58], [125], [127], [128], [162]). There are only a few models that simulate the UFOV (see [19], [116], [165], [166], [181]). Wickens and McCarley [98] theorize that attention can be modelled by the perceived parameters of saliency, effort, expectancy, and value of the fixation target.…”