Speed profiles for motor vehicles on urban streets are influenced not only by the street design and traffic performance, events such as interactions with pedestrians and cyclists, buses, on-street parking, exits from minor roads etc. (called “side-friction events”) also affect driver behaviour. A bottom-up research methodology was developed and applied including a wide range of stationary and m...

ions to meet these challenges. Data Intensive Network Organization Traffic prediction networks require a combination of big data and large number of devices to combine semi-global historic traffic information and on-line vehicle updates. This requires the convergence of approaches used by the datacenter community and real-time community. Such dynamical systems with real-time constraints require...

These days, mass-produced vehicles benefit from research on Intelligent Transportation System (ITS). One prime example of ITS is vehicle Cruise Control (CC), which allows it to maintain a pre-defined reference speed, to economize on fuel or energy consumption, to avoid speeding fines, or to focus all of the driver's attention on the steering of the vehicle. However, achieving efficient Cruise C...

The prime aim of this research is to support decision making, e.g., air quality impact analysis, human health assessment, through spatially modelling traffic-induced air pollution dispersion in urban areas at street level. Based on the information needed in decision making, a framework for a street level air quality decision support system is established, which is composed of basically three pa...

While traditional street design relied upon segregating vehicles and pedestrians in urban areas to ensure smooth traffic flow, urban planners and traffic engineers are gradually moving away from it. Instead, under the more modern concept of integrated street design, more space and freedom of action is provided to pedestrians, the needs of whom were previously omitted. An example space to have u...