Information on the technical functioning, impacts, interoperability and acceptance of ITS systems is crucial to making decisions on the deployment of these systems. The resources, time and amount of data available for evaluation studies of a potential ITS system are often more or less limited. A need for more agile evaluation methods has been identified.

Nature destinations are often away from the immediate proximity of urban, crowded areas. Paradoxically though, many natural destinations suffer from excess private car traffic, lack of parking space and disturbing mobility behaviour. In many cases, tolls and restrictions are used as a solution to these problems. We instead piloted a “softer” approach in Nuuksio National Park in Finland.

A significant portion of global population has disabilities limiting their independent mobility. Assistive technologies and accessible physical environment can reduce the challenges. Concepts such as Internet of Things (IoT) and smart environments, however, are still scarcely utilized in practice although they can provide a new level of assistance by interconnecting people and their personal devices with their environment. In this paper, we analyse opportunities and prerequisites of IoT solutions for improving accessibility in a public transport context.

This dissertation studies the usage of user experience (UX) goals in early-stage human-centred design activities regarding safety-critical systems. The purpose of UX goals is to describe the desired user experiences to be focused on in the design work. The safety-critical technology environments of the empirical research of this thesis include rapid transit systems, container cranes in ports, command bridges of ships, and cars with driver-assistance systems.

PTAs have the possibility to act as trendsetters for sustainable mobility. Helsinki Region Transport (HSL) already has managed to cut both local and greenhouse gas emissions of buses significantly. The goals are quite ambitious; by 2025 HSL wants to achieve a reduction of 90 % or more for emissions of carbon dioxide and pollutants, compared to the year 2010. Within the partnership with HSL, VTT has tested more than 200 buses, and conducted several field tests.

Automated driving is expected to improve road safety and traffic efficiency. Host vehicle onboard sensing systems typically sense the environment up to 250 m ahead of the vehicle. Today's LiDARs can see approximately 120 m, and recognition of small objects, such as animals or dropped cargo, however, today reliably drop when range is more than 50m. Connected driving adds an electronic horizon to the onboard sensing system which could extend the sensing range and greatly improves the efficiency.

Light detection and ranging sensors (LiDARS) are the most promising devices for range sensing in automated cars and therefore, have been under intensive development for the last five years. Even though various types of resolutions and scanning principles have been proposed, adverse weather conditions are still challenging for optical sensing principles. This paper investigates proposed methods in the literature and adopts a common validation method to perform both indoor and outdoor tests to examine how fog and snow affect performances of different LiDARs.