This article, we propose a traffic accident prediction system based on fuzzy logic which allows to identify 'the degree of exposure to road accidents' risk' and to analyse the level of complexity of the factors involved. We focus our study on the possible influence of a series of local criteria observed and selected for each kilometre per segment of the road network studied. The study was conducted on a road network within the rural area of the Wilaya of Mascara in the north-western region of Algeria. A Geographic Information System was integrated into the analysis process to enable a spatial visualization of the degrees of exposure to road accidents' risk, providing a cartographically measurable solution to establish and attenuate accident risk. Results show that the developed system can be effectively applied as an useful Road Safety tool capable of identifying risk factors related to the characteristics of the road.

This paper presents results of an experimental study which investigates the effect of industrial pozzolan made from calcined silt of dam at 750°C for 5 h, on mechanical properties and durability of ordinary mortar, compared to the silica fume. Mortar specimens prepared with 5, 10 and 15 % of calcined silt to substitute cement were evaluated for their compressive and flexural strength, sulfate, acid and penetration of chloride ions resistance. The results were compared with ordinary mortar (without addition) and mortar containing 10 % of silica fume. The results obtained showed that the calcined silt of dam has a high potential to be used as a pozzolanic material, it improves the strength and the durability of mortar and compete the silica fume.

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