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Featured researches published by Mehdi Farid.


Proceedings of the Human Factors and Ergonomics Society Annual Meeting | 2014

How traffic situations and non-driving related tasks affect the take-over quality in highly automated driving

Jonas Radlmayr; Christian Gold; Lutz Lorenz; Mehdi Farid; Klaus Bengler

Highly automated driving constitutes a temporary transfer of the primary driving task from the driver to the automated vehicle. In case of system limits, drivers take back control of the vehicle. This study investigates the effect of varying traffic situations and non-driving related tasks on the take-over process and quality. The experiment is conducted in a high-fidelity driving simulator. The standardized visual Surrogate Reference Task (SuRT) and the cognitive n-back Task are used to simulate the non-driving related tasks. Participants experience four different traffic situations. Results of this experiment show a strong influence of the traffic situations on the take-over quality in a highway setting, if the traffic density is high. The non-driving related tasks SuRT and the n-back Task show similar effects on the take-over process with a higher total number of collisions by the SuRT in the high density traffic situation.


International Conference on Applied Human Factors and Ergonomics | 2017

How Automation Level and System Reliability Influence Driver Performance in a Cut-In Situation

Jonas Radlmayr; Veronika Weinbeer; Cathrine Löber; Mehdi Farid; Klaus Bengler

This study evaluated the effect of different levels of automation and system reliability on driver performance in a cut-in motorway situation. The study was conducted in the dynamic driving simulator of the BMW Group with 65 participants. Driving data and an electrocardiogram (ECG) were recorded. The recorded driving data confirmed an automation effect. Concerning the type of automation, drivers’ response was found to be significantly faster in the manual driving condition than in the partial automated driving condition. Moreover, significant differences were found for the minimum time to collision (TTC) and the maximum deceleration in favor of the manual driving condition. In addition, it was confirmed that system reliability does influence the driver performance in a critical situation. The findings indicate that higher system reliability causes a delay in the brake response time, higher maximum deceleration and lower minimum TTC. Additionally, a close correlation could be seen between the TTC and the subjective criticality. The ECG data did not show effects.


5. Tagung Fahrerassistenz | 2012

Ubernahmezeiten beim hochautomatisierten Autofahren

Daniel Damböck; Mehdi Farid; L. Tönert; Klaus Bengler


Archive | 2012

Method for ensuring sufficient efficiency of rider of motor car, involves evaluating, reducing and maintaining performance of particular task depending on evaluation of degree of automation, and stopping vehicle based on evaluation

Mehdi Farid; Alexander Huesmann


Archive | 2016

Fahrerassistenzsystem in einem Kraftfahrzeug

Daniel Simmermacher; Mehdi Farid; Thomas Barmeyer


Dyna | 2015

Prediction of take-over time in highly automated driving by two psychometric tests

Moritz Körber; Thomas Weißgerber; Luis Kalb; Christoph Blaschke; Mehdi Farid


Archive | 2015

Längsregelsystem für ein Kraftfahrzeug

Daniel Simmermacher; Mehdi Farid


Archive | 2016

Verfahren und Fahrzeugschlüssel zum Aktualisieren einer Fahrzeugsoftware

Mehdi Farid; Lei Wang


Procedia Manufacturing | 2015

Confidence and Reliability in Driving Simulator Based Expert Reviews of ADAS Controllability

Patrick Galaske; Veronika Weinbeer; Mehdi Farid; Klaus Bengler


Archive | 2015

Adapting adjusted travelling speed of motor vehicle under condition that object identification waiting time is increased

Mehdi Farid; Daniel Simmermacher

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