G. Torrão

发表

Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries

R. Happee, S. Nordhoff, S. Innamaa, 2020 .

Effect of vehicle characteristics on safety, fuel use and emissions

G. Torrão, 2014 .

Do drivers change their manual car-following behaviour after automated car-following?

Pablo Puente Guillen, N. Merat, T. Louw, 2020, Cognition, Technology & Work.

Evaluation methods: Deliverable D3.3 of L3Pilot

Mandy Dotzauer, Natasha Merat, Felix Fahrenkrog, 2019 .

BINARY CLASSIFICATION AND LOGISTIC REGRESSION MODELS APPLICATION TO CRASH SEVERITY

G. Torrão, 2014 .

Physiological Indicators of Driver Workload During Car-Following Scenarios and Takeovers in Highly Automated Driving

Natasha Merat, Michael G. Lenné, Tyron Louw, 2021, Transportation Research Part F: Traffic Psychology and Behaviour.

CHARACTERIZATION OF PLUTONIUM CONTAMINATED SOILS FROM THE NEVADA TEST SITE IN SUPPORT OF EVALUATION OF REMEDIATION TECHNOLOGIES

J. Navratil, S. Hoeffner, G. Torrão, 2003 .

Using pupillometry and gaze-based metrics for understanding drivers’ mental workload during automated driving

M. Lenné, N. Merat, T. Louw, 2023, Transportation Research Part F: Traffic Psychology and Behaviour.

Nanotechnology in automotive industry: research strategy and trends for the future-small objects, big impacts.

Nazanin Emami, Margarida C Coelho, M. Coelho, 2012, Journal of nanoscience and nanotechnology.

Speed related variables for crash injury risk analysis: what has been used?

G. Torrão, 2021, International Journal of Crashworthiness.

E-mobility solutions for urban transportation: User needs across four continents

G. Torrão, Shritu Shrestha, George Panagakos, 2023, Transportation Research Procedia.