Inference and prediction of routes have become interest over the past decade owing to a dramatic increase in package delivery ride-sharing services. Given underlying combinatorial structure incorporation probabilities, route involves techniques from both formal methods machine learning. One promising approach for predicting uses decision diagrams that are augmented with probability values. Howe...

an integrated model considers all parameters and elements of different deficiencies in one problem. this paper presents a new integrated model of a supply chain that simultaneously considers facility location, vehicle routing and inventory control problems as well as their interactions in one problem, called location-routing-inventory (lri) problem. this model also considers stochastic demands ...

Convective weather is responsible for large delays and widespread disruptions in the U.S. National Airspace System (NAS), especially during summer months when travel demand is high. This has been the motivation for Air Traffic Flow Management (ATFM) algorithms that optimize flight routes in the presence of reduced airspace and airport capacities. These models assume either the availability of r...

The development of computerized systems in the financial industry facilitated the growth of the stock exchange market for institutional and private investors. Paperless settlement systems for stocks and bonds were first introduced in the Nordic region. The successful introduction of the new infrastructure for the securities markets was the result of solid cooperation between market participants...

A probabilistic method for inferring common routes from mobile communication network traffic data is presented. Besides providing mobility information, valuable in a multitude of application areas, the method has the dual purpose of enabling efficient coarse-graining as well as anonymisation by mapping individual sequences onto common routes. The approach is to represent spatial trajectories by...

Probabilistic methods of risk optimization are applied to specify the most effective arrangements of road tunnels. The total consequences of alternative arrangements are assessed using Bayesian networks supplemented by decision and utility nodes. It appears that the optimization may provide valuable information for a rational decision concerning number of escape routes. Discount rate seems to a...

This paper presents a technique, Probabilistic Road Map (PRM) planning and its application to aircraft for rapidly generating routes using aggressive maneuvers to avoid incoming munitions, terrain, and other aircraft while trying to maintain other mission objectives. The technique was applied to a high fidelity simulation and shown to always generate correct routes within its 0.1 seconds deadli...

The paper presents a theoretical model that seeks to answer the question of why former squatter settlements tend to upgrade/redevelop at a slower pace than otherwise similar settlements originating in the formal sector. We argue that squatter settlers’ initial strategy to access urban land creates a ‘legacy effect’ that curtails settlement upgrading possibilities even after the settlements are ...