Beyond Basics: Can a Driving Simulator Reliably Reproduce Real Vehicle Dynamics?

Despite constant technological innovation, road transport remains a significant source of pollutant emissions, and effective driver-behaviour changes can be considered as solutions that can increase the sustainability of road traffic in a short period. Thus, understanding driver behaviour plays a key role in assessing traffic-related impacts. Since real-world experiments entail some risks and are often not flexible, simulator-based experiments can be relevant to studying vehicle dynamics and driver behaviour.

How can the built environment affect the impact of autonomous vehicles' operational behaviour on air quality?

Autonomous vehicles (AVs) are pointed out as the technology that will reshape the concept of mobility, with significant implications for the economy, the environment, and society. This fact will bring new challenge to cities urban planning. Research to anticipate the AVs impacts, maximizing their benefits and reduce trade-offs are currently crucial.

Multinomial logistic regression for prediction of vulnerable road users risk injuries based on spatial and temporal assessment.

Urban area's rapid growth often leads to adverse effects such as traffic congestion and increasing accident risks due to the expansion in transportation systems. In the frame of smart cities, active modes are expected to be promoted to improve living conditions. To achieve this goal, it is necessary to reduce the number of vulnerable road users (VRUs) injuries.

A technical analysis of medicines request-related decision making in Brazilian courts.

Objective: To analyze judicial requests for medications that are covered by the pharmaceutical assistance components of the Sistema Único de Saúde (SUS - Brazilian Unified Health System).

Methods: We analyzed 81 judicial requests for medications in the State of São Paulo between 2005 and 2009. The details of these cases were obtained electronically from the Court of Justice of the State of São Paulo.