Present systems for road traffic surveillance largely utilize MEMS magnetometers for the purpose of vehicle detection and classification. Magnetoresistive sensing or LR oscillation circuitry are technologies providing the sensors with the competitive advantage which lies in the energy efficiency and low price. There are several chip suppliers on the market who specialize in the development of these sensors. The aim of this paper is to compare available sensors from the viewpoint of their suitability for traffic measurements. A summary of the achieved results is given in the form of the score for each sensor. The introduced sensor chart should provide the audience with knowledge about pros and cons of sensors, especially if intended for the purposes of road traffic surveillance. The authors in this research focused on the specific situation of road traffic monitoring with magnetometers placed at the roadside.

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The paper describes a multi-level solution for intelligent winter road maintenance management. The system is based on monitoring and forecasting of weather conditions and the road surface conditions at selected road locations. Automatic data collection and transmission is ensured by road weather stations, which provide early warnings about dangerous situations on the road (such as frost, ice, mist, wet or snow-covered surface). Data from these weather stations, together with weather forecasting models and date from weather radars and satellites are processed, presented and used for prediction of the pavement surface state and temperature. The result is information support for right maintenance decision and for effective and timely treatment of roads in the winter. Further part of the system is the winter maintenance dynamic dispatching which provides on-line fleet monitoring and management to ensure optimization and timely intervention. In addition, variable message signs are in the system for ensuring of information for drivers or even for traffic control on a dangerous road sections with the aim to improve traffic safety.

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