2012
DOI: 10.11128/sne.22.tn.10127
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Cognitive Aspects of Traffic Simulations in Virtual Environments

Abstract: Using virtual environment systems for road safety education requires a realistic simulation of road traffic. Current traffic simulations are either too restricted in their complexity of agent behavior or focus on aspects not important in virtual environments. More importantly, none of them are concerned with modeling misbehavior of traffic participants which is part of every-day traffic and should therefore not be neglected in this context. We present a concept for a traffic simulation that addresses the need … Show more

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Cited by 2 publications
(2 citation statements)
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“…The higher 𝑤, the more randomly perturbed the fastest path is. Therefore, DR with 𝑤 > 1 allows us to model the driving behaviour of vehicles that do not strictly follow navigation apps' suggestions and, simultaneously, 1 https://openrouteservice.org/dev/#/api-docs 2 https://developer.tomtom.com/routing-api 3 https://sumo.dlr.de/docs/duarouter.html to model the imperfection and non-rationality of human drivers [53]. Indeed, individuals get distracted when driving (e.g., take wrong turns), and they lack complete knowledge of the city's traffic, the road network, and the best path to reach a destination.…”
Section: Methodsmentioning
confidence: 99%
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“…The higher 𝑤, the more randomly perturbed the fastest path is. Therefore, DR with 𝑤 > 1 allows us to model the driving behaviour of vehicles that do not strictly follow navigation apps' suggestions and, simultaneously, 1 https://openrouteservice.org/dev/#/api-docs 2 https://developer.tomtom.com/routing-api 3 https://sumo.dlr.de/docs/duarouter.html to model the imperfection and non-rationality of human drivers [53]. Indeed, individuals get distracted when driving (e.g., take wrong turns), and they lack complete knowledge of the city's traffic, the road network, and the best path to reach a destination.…”
Section: Methodsmentioning
confidence: 99%
“…To model the driving behavior of vehicles that are not 𝑅-routed (i.e., they do not follow any navigation apps' suggestion) and the imperfection and non-rationality of human drivers [53], we perturb the fastest path between an origin and destination pair. DR allows perturbing the fastest path using a randomisation parameter 𝑤 ∈ [1, +∞), where 𝑤 = 1 means no randomisation (i.e., the fastest path), and the higher 𝑤, the more randomly perturbed the fastest path is.…”
Section: Perturbation Of the Fastest Pathmentioning
confidence: 99%