Simulating the interaction of road users: A glance to complexity of Venezuelan traffic

TL;DR

This study presents an agent-based model of Venezuelan traffic highlighting how motorcyclists influence vehicle behavior, revealing increased acceleration variability and lane change reduction, with implications for road safety.

Contribution

A minimalist agent-based model capturing the impact of motorcyclists on traffic dynamics and safety in Venezuelan roads, validated against real traffic videos.

Findings

Motorcyclists reduce lane changes of motorists.

Motorcyclists increase acceleration-deceleration maneuvers.

Model aligns well with real traffic observations.

Abstract

Automotive traffic is a classical example of a complex system, being the simplest case the homogeneous traffic where all vehicles are of the same kind, and using different means of transportation increases complexity due to different driving rules and interactions between each vehicle type. In particular, when motorcyclists drive in between the lanes of stopped or slow-moving vehicles. This later driving mode is a Venezuelan pervasive practice of mobilization that clearly jeopardizes road safety. We developed a minimalist agent-based model to analyze the interaction of road users with and without motorcyclists on the way. The presence of motorcyclists dwindles significantly the frequency of lane changes of motorists while increasing their frequency of acceleration-deceleration maneuvers, without significantly affecting their average speed. That is, motorcyclist "corralled" motorists in their lanes limiting their ability to maneuver and increasing their acceleration noise. Comparison of the simulations with real traffic videos shows good agreement between model and observation. The implications of these results regarding road safety concerns about the interaction between motorists and motorcyclists are discussed.