scholarly journals Sophisticated Route Calculation Approaches for Microscopic Traffic Simulations

2015 ◽  
Author(s):  
Karl Huebner ◽  
Bjoern Schuenemann ◽  
Ilja Radusch
Keyword(s):  
Traffic Simulations

Cognitive Aspects of Traffic Simulations in Virtual Environments

2012 ◽  
Vol 22 (2) ◽  
Author(s):  
Sven Seele ◽  
Thomas Dettmar ◽  
Rainer Herpers ◽  
Christian Bauckhage ◽  
Peter Becker
Keyword(s):  
Virtual Environments ◽  
Traffic Simulations

scholarly journals Designing Scenarios for Controller in the Loop Air Traffic Simulations

2013 ◽  
Author(s):  
Michael Kupfer ◽  
Joey Mercer ◽  
Christopher D. Cabrall ◽  
Todd J. Callantine
Keyword(s):  
Air Traffic ◽  
Traffic Simulations

Report on design of modules for the stochastic traffic simulation

2021 ◽  
Author(s):  
Christian Siebke ◽  
◽  
Maximilian Bäumler ◽  
Madlen Ringhand ◽  
Marcus Mai ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Main Part ◽  
Traffic Simulation ◽  
Cognitive Structure ◽  
Flow Simulation ◽  
Road User ◽  
The Road ◽  
Traffic Flow Simulation ◽  
Cognitive Behaviour ◽  
Traffic Simulations

As part of the AutoDrive project, OpenPASS is used to develop a cognitive-stochastic traffic flow simulation for urban intersection scenarios described in deliverable D1.14. The deliverable D4.20 is about the design of the modules for the stochastic traffic simulation. This initially includes an examination of the existing traffic simulations described in chapter 2. Subsequently, the underlying tasks of the driver when crossing an intersection are explained. The main part contains the design of the cognitive structure of the road user (chapter 4.2) and the development of the cognitive behaviour modules (chapter 4.3).

A Driver's Mind

2019 ◽  
pp. 429-454
Author(s):  
Marco Lützenberger
Keyword(s):  
Point Of View ◽  
Human Behaviour ◽  
Infrastructure Management ◽  
Driver Behaviour ◽  
Human Driver ◽  
Psychological Point ◽  
Factors Of Influence ◽  
Traffic Systems ◽  
Behaviour Models ◽  
Traffic Simulations

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.

scholarly journals Multi-agent traffic simulations to estimate the impact of automated technologies on safety

2019 ◽  
Vol 20 (sup1) ◽  
pp. S58-S64 ◽  
Author(s):  
Sou Kitajima ◽  
Keisuke Shimono ◽  
Jun Tajima ◽  
Jacobo Antona-Makoshi ◽  
Nobuyuki Uchida
Keyword(s):  
Multi Agent ◽  
The Impact ◽  
Traffic Simulations
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