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A Driver’s Mind: Psychology Runs Simulation

A Driver’s Mind: Psychology Runs Simulation

Marco Lützenberger
Copyright: © 2014 |Pages: 24
ISBN13: 9781466649200|ISBN10: 1466649208|EISBN13: 9781466649217
DOI: 10.4018/978-1-4666-4920-0.ch010
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MLA

Lützenberger, Marco. "A Driver’s Mind: Psychology Runs Simulation." Data Science and Simulation in Transportation Research, edited by Davy Janssens, et al., IGI Global, 2014, pp. 182-205. https://doi.org/10.4018/978-1-4666-4920-0.ch010

APA

Lützenberger, M. (2014). A Driver’s Mind: Psychology Runs Simulation. In D. Janssens, A. Yasar, & L. Knapen (Eds.), Data Science and Simulation in Transportation Research (pp. 182-205). IGI Global. https://doi.org/10.4018/978-1-4666-4920-0.ch010

Chicago

Lützenberger, Marco. "A Driver’s Mind: Psychology Runs Simulation." In Data Science and Simulation in Transportation Research, edited by Davy Janssens, Ansar-Ul-Haque Yasar, and Luk Knapen, 182-205. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-4920-0.ch010

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Abstract

Over the last decade, traffic simulation frameworks have advanced into an indispensible tool for traffic planning and infrastructure management. For these simulations, sophisticated models are used to “mimic” traffic systems in a lifelike fashion. In most cases, these models focus on a rather technical scope. Human factors, such as drivers’ behaviours are either neglected or “estimated” without any proven connection to reality. This chapter presents an analysis of psychological driver models in order to establish such a connection. In order to do so, human driver behaviour is introduced from a psychological point of view, and state-of-the-art conceptualisations are analysed to identify factors that determine human traffic behaviour. These factors are explained in more detail, and their appliances in human behaviour models for traffic simulations are discussed. This chapter does not provide a comprehensive mapping from simulation requirements to particular characteristics of human driver behaviour but clarifies the assembly of human traffic behaviour, identifies relevant factors of influence, and thus, serves as a guideline for the development of human behaviour models for traffic simulations.

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