The Role of Compliance in Heterogeneous Interacting Agents: Data from Observations

TL;DR

This paper analyzes pedestrian-vehicle interactions at a non-signalized intersection, emphasizing the importance of compliance to traffic norms and providing observational data to support agent-based modeling of such complex systems.

Contribution

It presents observational data on driver compliance and conflictual interactions, aiding the development of more accurate agent-based models for urban traffic systems.

Findings

Drivers' compliance varies with pedestrian behavior

Potential conflicts identified among heterogeneous agents

Data supports improved modeling of traffic interactions

Abstract

The dynamics of agent-based systems provide a framework to face the complexity of pedestrian-vehicle interactions in future cities, in which the compliance to traffic norms plays a fundamental role. The data of an observation performed at a non-signalized intersection are presented to provide useful insights for supporting the future development of agent-based models. Results focus on drivers' compliance to crossing pedestrians, describing potentially conflictual interactions among heterogeneous agents. The discussion closes with the potential applications of the collected data set for modelling the phenomenon.