Reconsider your strategy an agent-based conceptualisation of compensatory driver behaviour

Lützenberger, Marco; Ahrndt, Sebastian; Hirsch, Benjamin; Masuch, Nils; Heßler, Axel; Albayrak, Şahin

doi:10.1109/itsc.2012.6338614

Cited by 2 publications

(2 citation statements)

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“…freezing rain, or heavy snowfalls) near a metro station and available parking (Lützenberger et al 2012). As another example, consider the occurrence of congestion that may cause isolated drivers to avoid critical road sections and to deviate from their originally selected strategy (Lützenberger et al 2012). Based on our analysis we conclude that any simulation model that is used to generate strategic-level behavior of drivers has to define a connection between the module that generates strategic-level behavior and the driver's environment.…”

Section: Discussionmentioning

confidence: 95%

“…As an example for this connection consider a driver with a high affinity for public transport that might change his means of transportation when confronted with extreme weather conditions (e.g. freezing rain, or heavy snowfalls) near a metro station and available parking (Lützenberger et al 2012). As another example, consider the occurrence of congestion that may cause isolated drivers to avoid critical road sections and to deviate from their originally selected strategy (Lützenberger et al 2012).…”

Section: Discussionmentioning

confidence: 99%

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Can you simulate traffic psychology? An analysis

Lützenberger¹,

Albayrak²

2013

2013 Winter Simulations Conference (WSC)

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Contemporary traffic simulation frameworks use sophisticated physical-or mathematical models to "mimic" traffic systems in a lifelike fashion. Nevertheless, when it comes to road traffic, there seems to be no parameter more essential than the driver himself. Most frameworks neglect human factors in traffic entirely, or "estimate" a particular form of human behavior without providing any connection to reality. In this work we aim to establish such connection. We explain driver behavior from a psychological perspective and analyze the most important (psychological) driver behavior conceptualizations in order to identify crucial factors of human traffic behavior. Based on this analysis we examine the ability of state-of-the-art traffic simulation to account for these factors. It is our intention to determine the capabilities of traffic simulation frameworks, to point out perspectives for future research and to provide a guideline for the selection of the right traffic simulation system.

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Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 99%