Localization methods play an increasing role in many of today's Intelligent Transportation Systems (ITS). In the context of this work we concentrate on improving the localization accuracy of passengers in public transport vehicles, e.g. as part of automated registration, counting or ticketing systems. In these applications each passenger's ticket could be designed as a mobile wireless sensor node, which is registered to be inside or outside the vehicle using a network of fixed anchor nodes inside only. We shortly describe two specific positioning approaches (SMDS, GBP) out of a variety of methods. A set of measurements conducted in a realistic bus cabin environment is then used to analyze the performance of both algorithms. The accuracy of the proposed GBP-estimator is compared with a previously studied SMDS-estimator, particularly in severe multipath environments like in the given passenger cabin

In recent years, indoor positioning has become more and more important for industrial and commercial usage. Advanced approaches using leaky coaxial cables (LCX) not only for radio coverage have been developed. This paper deals with the application of LCXs for indoor localization in a public transport test scenario, run by the Fraunhofer Institute for Transportation and Infrastructure Systems IVI Dresden. In this scenario different systems were tested in a real-vehicle environment and compared to each other. In addition those results are contrasted with a synthetic indoor-test carried out in a corridor of the University of Applied Sciences Dresden, in the following referred to as "academic" scenario. Furthermore, the positioning accuracy, which could be achieved by using standard LCXs and two reference systems are demonstrated

Inertial signals, that is to say accelerations, vibrations and rotations, are gaining more and more importance in navigation applications as they may contribute to motion state estimation. Such motion states may also assist navigation processes in finding a stable navigation solution. Prior to the market introduction of such navigation applications or other Location Based Services (LBS), a variety of tests has to be carried out. As tests in real traffic systems are time consuming and neither repeatable nor representative, it is desirable to create a laboratory environment in which navigation signals and the whole usage process are reproducible. Thereby, standardised navigation scenarios can be simulated repeatedly including all relevant navigation (GNSS, Wi-Fi, INS) and communication (GSM, protocol data) signals. This conference contribution focuses on the recording and replaying of low-frequency (LF)-signals as a basis for reproducible laboratory tests for inertial signals. The signals can be recorded by high-precision sensors and replayed in a laboratory. The paper will present the technical set-up for such reproducible tests and how those tests will be realised in the context of the BMWi-funded project NADINE. Within this project, a ticket-sensitive door-to-door navigation will be developed using a hybrid localisation approach which combines GNSS, Wi-Fi, and inertial signals