A Driver's Mind

2019 ◽  
pp. 429-454
Author(s):  
Marco Lützenberger

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.

Author(s):  
Marco Lützenberger

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.


Author(s):  
Natalie Rodax ◽  
Markus Wrbouschek ◽  
Katharina Hametner ◽  
Sara Paloni ◽  
Nora Ruck ◽  
...  

2016 ◽  
Vol 6 (4) ◽  
pp. 75 ◽  
Author(s):  
Marwan Alqaryouti ◽  
Ala Sadeq

The concept of evil has been researched since the Medieval era, leading to the conclusion that human beings have the freedom to choose good from bad, or evil from good. The origin of evil based on the religious teachings is Satan, who is described as the Rebel Angel, as explained by Dante in The Divine Comedy (Alighieri, 1957). Satan tempts human beings into sinning, as revenge against God for placing him in Hell. Based on the psychological point of view developed by Sigmund Freud, the source of evil is id which is distinctive (Freud, 1966). Villain motivations are driven by the tendency of the ego to make realistic decisions about meeting the unrealistic and unreasonable desires by the id. The other aspect that motivates villain actions include jealousy, anger and revenge, as indicated in the play. Shakespeare presents the villain character perfectly in his play Othello (1604) through Iago, whose main focus in life is to destroy others “So will I turn her virtue into pitch And out of her own goodness make the net That shall enmesh them all” (Shakespeare, 1993, p. 99). Through his manipulative skills, he makes the other characters trust him “Iago most honest” (Shakespeare, 1993, p. 75) and then fuel conflicts among them. Iago is motivated by anger, revenge and jealousy to commit the evil acts.


Comunicar ◽  
2008 ◽  
Vol 16 (31) ◽  
Author(s):  
Felicidad Loscertales-Abril ◽  
Trinidad Núñez-Domínguez

Movies are one of the objects of study for Social Psychology because they are not only art or industry; they are a way of socialization. Therefore, movies show behaviour models, social values and norms, and make people react: movies are persuasive. A psycho-social analysis of films is necessary because movies can sometimes display prejudiced negative contents, which could be both explicit or very subtle, and therefore quite dangerous. The authors analyse ten well-known Dis-ney films from the gender perspective: How are men and women shown? What roles do they impersonate? Specifying contents and valuing subtle prejudiced stereotypes will help families to watch them from a different point of view. El cine es objeto de estudio para la Psicología Social porque no sólo es arte o industria; es socialización. Porque muestra modelos de comportamiento, valores sociales y normas, produce reacciones: es persuasivo. Este aspecto es el que mejor justifica el análisis psicosocial. También en muchas ocasiones, el cine presenta unos contenidos con prejuicios negativos poco explícitos, muy sutiles y, por tanto, bastantes peligrosos. Analizamos diez conocidas películas Disney desde la perspectiva de género: ¿Cómo se presentan hombres y mujeres? ¿Qué roles representan? Explicitar contenidos y valorar estereotipos con prejuicios sutiles ayuda a las familias a ver con otra mirada.


2020 ◽  
Vol 19 (1) ◽  
pp. 85-88
Author(s):  
A. S. J. Cervera ◽  
F. J. Alonso ◽  
F. S. García ◽  
A. D. Alvarez

Roundabouts provide safe and fast circulation as well as many environmental advantages, but drivers adopting unsafe behaviours while circulating through them may cause safety issues, provoking accidents. In this paper we propose a way of training an autonomous vehicle in order to behave in a human and safe way when entering a roundabout. By placing a number of cameras in our vehicle and processing their video feeds through a series of algorithms, including Machine Learning, we can build a representation of the state of the surrounding environment. Then, we use another set of Deep Learning algorithms to analyze the data and determine the safest way of circulating through a roundabout given the current state of the environment, including nearby vehicles with their estimated positions, speeds and accelerations. By watching multiple attempts of a human entering a roundabout with both safe and unsafe behaviours, our second set of algorithms can learn to mimic the human’s good attempts and act in the same way as him, which is key to a safe implementation of autonomous vehicles. This work details the series of steps that we took, from building the representation of our environment to acting according to it in order to attain safe entry into single lane roundabouts.


2020 ◽  
Vol S.I. (1) ◽  
pp. 88-97
Author(s):  
Ana-Madalina Potcovaru ◽  

This article shows the impact of organizational stress on the human resources from the health system. The research wants to highlight the main stressors factors among the medical staff, physicians, and assistants from Târgoviște Emergency Hospital from Dâmbovița County and to determine if the organizational stress affects the personal life of the employees. Understanding the sources of stress and reducing them has a great impact on job satisfaction and on the relationship patient-physician. Also, the article presents the impact of the COVID-19 on the health care workers from a psychological point of view. Coronavirus disease 2019 (COVID-19) affected global mental health.


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