Reliable “Advanced Driver Assistance Systems” (ADAS) are intended to assist the driver under various traffic, weather and other environment conditions. The growing traffic requires sensors and systems which handle difficult urban and non-urban scenarios. For such systems new cost-efficient sensor technologies are developed and evaluated in the EU-FP7 project “ADOSE (reliable Application-specifi...

In the absence of a perfect risk adjustment scheme, cost sharing can reduce risk selection in community-rated health insurance markets. However, cost sharing also reduces incentives for efficiency. In this paper, we develop a model in which insurers determine the cost efficiency of health care. They have incentives for risk selection because there are two risk types which differ in their expect...

Shared Risk Link Group (SRLG) has been widely recognized as an important concept in survivable optical networks. The issues of avoiding “traps” (to be defined later) in path determination and maximizing bandwidth sharing, are more challenging in providing shared SRLG protection than in providing shared path protection without considering SRLGs. In this paper, we proposed a novel survivability a...

Modern joint probability methods for estimating storm surge or flood statistics are based on statistical aggregation of many hydrodynamic simulations that can be computationally expensive. Flood risk assessments that consider changing future conditions due to sea level rise or other drivers often require each storm to be run under a range of uncertain scenarios. Evaluating different flood risk ...

Daily precipitation is recorded as the total amount of water collected by a rain-gauge in 24 h. Events are modelled as a Poisson process and the 24 h precipitation by a Generalized Pareto Distribution (GPD) of excesses. Hazard assessment is complete when estimates of the Poisson rate and the distribution parameters, together with a measure of their uncertainty, are obtained. The shape parameter...

D ecision-making for planning a petrochemical industry is a difficult task, particularly when decisions are required to be made under constraints and different objectives. This paper presents the application of multiobjective optimization tools for planning of a mixed-integer model of a petrochemical industry to arrive at a small set of good solutions out of the Pareto optimal solutions. The tw...