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This article reports on a two-year study (2006 to 2008) of the distribution of de-icing salts (NaCl) applied to the road and the influence of traffic on the effective times of the de-icing salts. The research was focused on the needed resting periods of de-icing salts on road surfaces. The study used sensors installed in two lanes of the Motorway A4 in the area of the Dresden-Hellerau Highway Surveillance Center (Germany), to measure air and ground temperatures, wind speed and direction, liquid film thicknesses and residual quantities of salt on the road surface during ongoing traffic at 5-minute intervals. The authors conclude with four observations that can be useful for applying de-icing salts more judiciously: preventive spreading is only sensible if applied timely, i.e. immediately prior to icing events to be expected; the time-frame for preventive spreading on the dry road surface is maximum 60 minutes and on the moist road surface maximum 120 minutes; by increasing spreading densities in preventive spreading, this timeframe cannot be extended; it is completely sufficient if the spreading width is adjusted in such a way that the outer wheel tracks are also covered by the spreading. Distribution across the entire width of the lane will be caused by the rolling traffic within a few minutes.
The technology involved in traffic control in Germany has undergone significant changes. This paper describes how a group of German manufacturers have worked with operators to produce Open Communications Interface for Road Traffic Control Systems (OCIT). At the beginning of 2010, twenty-one different European manufacturers had bought licences for OCIT outstations.
The Joint Transport Research Centre of the Organisation for Economic Co-operation and Development and the International Transport Forum recently conducted a benchmarking study of the safety and productivity of typical highway transport trucks from various countries. This paper focuses on vehicle productivity and efficiency in regard to the movement of freight. Forty vehicles from 10 countries were examined. The vehicles were designed for longer-haul applications and were classified in three separate categories: workhorse vehicles, which are the most common and can travel on most roads; high-capacity vehicles, which may be restricted to a certain class of road; and very high-capacity vehicles, which may be restricted to specific highways or routes. The metrics used in the analysis include maximum cargo mass and volume capacity, optimum cargo density, fuel consumption, and carbon dioxide output as a function of the freight task. The study found that size and weight regulations have a significant effect on the productivity and efficiency of heavy vehicles, including fuel consumption and vehicle emissions per unit of cargo transported. Significant variations were found among the vehicles from participating countries as well as within vehicle classes. It was also apparent that, in general, higher-productivity vehicles are correlated more strongly with increased cargo volume than with increased cargo mass and that larger trucks are better suited to lower-density freight than are workhorse vehicles. The study also found that it is important to consider the freight task when evaluating vehicle fuel consumption and emissions.
This article describes the development of techniques to minimize automobile driver distraction when an in-vehicle information systems (IVIS) that requires visual attention is in use. The authors explain the visual occlusion technique that has been developed as a tool for the assessment of the in-vehicle human-machine interface (HMI) of IVIS in terms of visual demands. The authors addressed an unresolved issue in previous standardized experimental protocols - how subjects make use of the occluded intervals and how this might affect the assessments of visual demands. This study protocol assumed that subjects would continue task performance during occluded periods, leading to an underestimation of visual demands by the occlusion parameters "total shutter open time" (TSOT) and the "occlusion index". The authors predicted that a simple additional loading task to be performed in parallel could disrupt IVIS task performance during the occluded period leading to higher estimations of visual demands by TSOT and R. Their prediction was confirmed by the study findings. The results also showed that under the condition of additional auditory tracking, TSOT and R discriminated more clearly between an "easy" and a "difficult" IVIS task than under the standard condition. They conclude with a discussion of the implications of this research for designers of assessment tools for driver visual distractions.