A important, but seldom investigated, issue in the field of dynamic vehicle routing and dispatching is how to exploit information about future events to improve decision making. In this paper, we address this issue in a real-time setting with a strategy based on probabilistic knowledge about future request arrivals to better manage the fleet of vehicles. More precisely, the new strategy introdu...

Simulated, false location reports can be an effective way to confuse a privacy attacker. When a mobile user must transmit his or her location to a central server, these location reports can be accompanied by false reports that, ideally, cannot be distinguished from the true one. The realism of the false reports is important, because otherwise an attacker could filter out all but the real data. ...

In this paper we describe the theoretical background and practical application of QNA-MC (Queueing Network Analyzer supporting MultiCast), a tool for the analytical evaluation of multicast protocols. QNA-MC is based on the QNA tool which (approximately) analyses open networks consisting of GI|G|m nodes. While the input of the standard QNA tool is restricted to non-deterministic (probabilistic) ...

An estimated 30 % of urban traffic is caused by search for parking spots [8]. Suggesting routes along highly probable parking spots could reduce traffic. In this paper, we formalize parking search as a probabilistic problem on a road graph and show that it is NP-complete. We explore heuristics that optimize for the driving duration and the walking distance to the destination. Routes are constra...

The raison d’etre for the air transportation system is the movement of passengers and cargo. Consumer information for airline passengers and regulatory consumer protection of airline services provide measures of performance using the percentage of on-time flights, and the percentage of cancelled flights. Researchers have shown that these “flight-based” metrics are a poor proxy for measuring the...

In this paper, we introduce the  probabilistic normed groups. Among other results, we investigate the continuityof inner automorphisms of a group and the continuity of left and right shifts in probabilistic group-norm. We also study midconvex functions defined  on probabilistic normed groups and  give  some results about locally boundedness of such  functions.

In this paper we consider the vehicle routing problem with hard time windows and stochastic service times (VRPTW-ST); in this variant of the classic VRPTW the service times are random variables. In particular, given a set of vehicle routes, some of the actual service times might not lead to a feasible solution, given the customer time windows. We consider a chance-constrained program to model t...

Monitoring economic conditions in real time, or nowcasting, and Big Data analytics share some challenges, sometimes called the three “Vs”. Indeed, nowcasting is characterized by use of a large number time series (Volume), complexity data covering various sectors economy, with different frequencies precision asynchronous release dates (Variety), need to incorporate new information continuously t...

Collision accidents may lead to significant asset damage and human casualties. This paper introduces a direct analysis methodology that makes use of Automatic Identification System (AIS) data estimate collision probability generate scenarios for in ship stability assessment. Potential are detected from AIS by an avoidance behaviour-based detection model (ABCD-M) the is estimated various routes ...

the current study investigated and compared data generation methods for groundwater modeling. thesemethods can be divided into two classes; geostatistic and probabilistic. by comparing geostatistic methods,the best method was chosen and the hydraulic conductivity of the aquifer was generated for a study area ina grid (9-cell) format. after observing weak spatial correlation between the data, th...