University of Udine

Location:

DPIA | Polytechnic Department of Engineering and Architecture

Address:

206 Science Street

33100 Udine (UD)

Phone:

+39 0432 558745

(Nicholas Baldo | Site Trustee)

Web site:

Members of the Headquarters

Last name

Name

Email

Member Status

Venue/Entity

orcid

Baldo

Nicholas

nicola.baldo@uniud.it

Ordinary | Site Trustee

University of Udine

Link

Daneluz

Fabiola

fabiola.daneluz@uniud.it

Juniores

University of Udine

Link

Miani

Matthew

matteo.miani@phd.units.it

Juniores

University of Udine

Link

Swallow

Fabio

fabio.rondinella@phd.units.it

Juniores

University of Udine

Link

Doctorates of the Venue

PhD

University Headquarters

Link

Interateneo Units - Uniud in Civil-Environmental Engineering and Architecture

University of Udine

Link

Workshops

Roads Laboratory

Description:

The Roads Laboratory engages in interdisciplinary research in road infrastructure engineering.

The main equipment consists of a dynamic driving simulator, which includes the main elements of the cockpit of a real city car.
Three 43-inch screens, integrated into the very structure of the simulator, are used for audio-visual reproduction of virtual driving scenarios.
The hardware equipment is complemented by a two-degree-of-freedom platform, capable of reproducing roll and pitch phenomena.

The system makes it possible to simulate virtually any plano-altimetric configuration of roads and landscapes, as well as buildings and infrastructure.
It does not lack the ability to change visibility conditions, depending on the time of day and whether fog is present.
In addition, adverse weather conditions, such as rain and snow, can be reproduced.

The main activities carried out are:

  • analysis and modeling of users’ driving behavior in common traffic events, such as crossing a crosswalk or overtaking a vehicle;
  • The study of the effects on driving of potentially hazardous conditions, such as adverse weather events, infrastructure deficiencies, and dangerous driver behavior;

The development of new technologies to serve autonomous or semi-autonomous driving, also based on machine learning algorithms.

Web site:

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