A discrete choice model for solving conflict situations between pedestrians and vehicles in shared space

TL;DR

This paper develops a discrete choice model to identify conflict resolution strategies between pedestrians and vehicles in shared spaces, using real-world data from Hamburg to improve simulation accuracy of such interactions.

Contribution

It introduces a novel multinomial logit model for conflict resolution in shared spaces, calibrated with real traffic conflict data, enhancing simulation realism.

Findings

Model accurately predicts evasive actions in conflict situations

Parameters like distance, speed, and time to collision significantly influence choices

Validated model can be integrated into traffic simulation tools

Abstract

When streets are designed according to the shared space principle, road user are encouraged to interact spontaneously with each other for negotiating the space. These interaction mechanisms do not follow clearly defined traffic rules but rather psychological and social principles related to aspects of safety, comfort and time pressure. However, these principles are hard to capture and to quantify, thus making it difficult to simulate the behavior of road users. This work investigates traffic conflict situations between pedestrians and motorized vehicles, with the main objective to formulate a discrete choice model for the identification of the proper conflict solving strategy. A shared space street in Hamburg, Germany, with high pedestrian volumes is used as a case study for model formulation and calibration. Conflict situations are detected by an automatic procedure of trajectory prediction and comparison. Standard evasive actions are identified, both for pedestrians and vehicles, by observing behavioral patterns. A set of potential parameters, which may affect the choice of the evasive action, is formulated and tested for significance. These include geometrical aspects, like distance and speed of the conflicting users, as well as conflict-specific ones, like time to collision. A multinomial logit model is finally calibrated and validated on real situations. The developed approach is realistic and ready for implementation in motion models for shared space or any other less organized traffic environment.