By concentrating on human factors affecting road accidents in this paper, the position of social awareness promotion through media-type informing methods is evaluated. In this evaluation, the accident avoidance effect of each media-type enterprise is appraised by accessing the data achieved by execution of each method managed to reduce the traffic accidents and casualties through promotion of social traffic culture. Accordingly, the objective of the paper is to propose a programming sketch enabling to find the optimum value of investments and funds allocated to each social traffic informing, training, or media-type enterprise in both national and provincial levels. Meanwhile, a set of data extracted from Iran's traffic police database is used in forms of covered population, social acceptance percent, and unit costs each gathered for seven enterprises including TV publicity films, radio notices, press announcements, urban and roadside billboards, traffic fairs, books and pamphlets, and posters. In this research, the cost-benefit analysis and a linear integer programming model are used as methods for economic evaluation and mathematical optimization procedures respectively, both for the purpose of incorporating the budgeting system. (A). For the covering abstract of the conference see E216632.
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