We study a novel operational problem that considers vehicle positioning in on-demand rental networks, such as car sharing the wider context of competitive market which users select vehicles based on access. Existing approaches consider networks isolation; our competitor-aware model takes supply situations competing into account. combine online machine learning to predict market-level demand and...

The Vehicle Positioning Problem (VPP) is a classical combinatorial optimization problem that has a natural formulation as a Mixed Integer Quadratically Constrained Program. This MIQCP is closely related to the Quadratic Assignment Problem and, as far as we know, has not received any attention yet. We show in this article that such a formulation has interesting theoretical properties. Its QP rel...

—Generally vehicular networks are considered to contain two types of nodes; vehicles and roadside stations. Vehicular communications is usually developed as a part of Intelligent Transport Systems (ITS) that seeks to achieve safety and productivity through intelligent transportation which integrates communication between mobile and fixed nodes. The majority of today's automated vehicle location...

We assessed telemetry of transmittertagged fishes from an autonomous underwater vehicle with an attached hydrophone/datalogger that procesed code-division-multiple-access acoustic signals. Geolocation estimates used synthetic aperture and relative sound strength mapping. Transmitters could be detected at all angles relative to the AUV heading and as far as 2 km distant. Signal reception pattern...

The Vehicle Positioning Problem (VPP) is a classical combinato-rial optimization problem that has a natural formulation as an integer quadratic program. This MIQCP is closely related to the Quadratic Assignment Problem and, as far as we know, has not received any attention yet. We show in this article that such a formulation has interesting theoretical properties. Its QP relaxation produces, in...

In the CDIO-project course in Automatic Control, an autonomous unmanned aerial vehicle (UAV) is constructed, utilizing an existing radio controlled model aircraft. By adding an inertial sensor measuring acceleration and rotation, together with a global positioning system (GPS) sensor, the aim is to construct an accurate positioning system. This is used by an on board computer to calculate rudde...

This paper presents a numerical approach to the mapmatching problem. The proposed solution is based on a sequential Monte Carlo method, so called particle filtering. This algorithm can be adapted for implementation on real-time car navigation systems using a low-cost MEMS heading rate sensor and standard vehicle speed sensor installed in the car as dead-reckoning sensors. The algorithm reliabil...