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In this paper we consider various methods for nonmetric multidimensional scaling. We focus on the nonmetric phase, for which we consider various alternatives: Kruskal's nonmetric phase, Guttman's nonmetric phase, monotone regression by monotone splines, and monotone regression by a monotone neural network. All methods are briefly described. We use sequential quadratic programming to estimate the weights of the neural network. An experimental comparison of the methods is given for various synthetic and real-life datasets. The monotone neural network performs comparable to the traditional methods. [ABSTRACT FROM AUTHOR]

This paper is about the introduction of an electric car rental system in the city of Amsterdam. These cars can be used as an alternative to public transport or taxis by travelers or tourists arriving at train stations or park houses who want to reach places in the inner city. After the trip, cars will be parked in one of the park houses distributed over the city close to the traveler's destination. Electric cars will be used to reduce the pollution in the inner part of the city. To facilitate the drivers a dedicated navigation system has been designed including lanes not accessible by private cars. This dynamic routing system is based on the Ant Based Routing algorithm. It has been implemented on the power line infrastructure of streetlights. Cars are wirelessly connected to lampposts using their smart phone. The cameras attached to the lampposts will be used to localize, identify and track the cars and enable updates of the routing tables in the navigation system. The network of distributed streetlights/cameras is the backbone of the Park and Routing-system. A software prototype of the system has been implemented. We will report about the simulated system and the test results. [ABSTRACT FROM AUTHOR]