A Potential Field Model Avoiding Local Minimum in Pedestrian Simulation

Abstract

For reflecting those behaviors in the simulation that pedestrians choose to wait, scrape or round after being trapped in local minimum, based on the static spatial potential field with big grid, dynamic potential field is obtained after adding in time-consumption potential field and waiting potential field. Time-consumption potential field replaces traditional pedestrian repulsive field and changes with grid space occupancy while waiting potential field has the attribution of attenuation and enhancement together. Simulation experiments are used to verify various selections that pedestrian make when they face different space occupancy. The result shows that this model is not only able to guarantee efficiency and accuracy, but also closer to real walking characteristics.

A Hierarchical Forecasting Model of Pedestrian Crossing Behavior for Autonomous Vehicle

“…There are two parts of the potential: attractive potential generated by the destination and repulsive potential generated by obstacles. In [35], Liu et al proposed a time-consumption potential field model, which can enhance potential field models where a pedestrian is waiting too long (e.g. being trapped into a local minimum), forcing the pedestrian to keep walking.…”