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When streets are designed according to the shared space principle, road userare encouraged to interact spontaneously with each other for negotiating thespace. These interaction mechanisms do not follow clearly defined traffic rulesbut rather psychological and social principles related to aspects of safety,comfort and time pressure. However, these principles are hard to capture and toquantify, thus making it difficult to simulate the behavior of road users. Thiswork investigates traffic conflict situations between pedestrians and motorizedvehicles, with the main objective to formulate a discrete choice model for theidentification of the proper conflict solving strategy. A shared space streetin Hamburg, Germany, with high pedestrian volumes is used as a case study formodel formulation and calibration. Conflict situations are detected by anautomatic procedure of trajectory prediction and comparison. Standard evasiveactions are identified, both for pedestrians and vehicles, by observingbehavioral patterns. A set of potential parameters, which may affect the choiceof the evasive action, is formulated and tested for significance. These includegeometrical aspects, like distance and speed of the conflicting users, as wellas conflict-specific ones, like time to collision. A multinomial logit model isfinally calibrated and validated on real situations. The developed approach isrealistic and ready for implementation in motion models for shared space or anyother less organized traffic environment.

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