Prediction of traffic accidents has an important meaning in improving of road safety. Models of traffic accidents prediction can help for finding accident causes and to reduce the number of accidents. The purpose of this paper is to build a fuzzy logic model for prediction of traffic accidents in Albania. In this model are used six input parameters: annual average daily traffic (AADT), road width (rw), speed (sp) defined as the distance per unit of time, number of minor access (ma) along the street over the length of the street in kilometers, road surface condition as percentage (pm), and the percentile of sign per kilometers of road (sj). The output of the model is the annual all accidents (AAA) that is defined as the number of all accidents occurring on the road in a defined time interval of a day per kilometer length of road. This model is applied for seven roads in Albania. The results are discussed and taken the main conclusions of this paper. Here fuzzy logic toolbox of MATLAB is used.

The purpose of this paper is to develop a fuzzy logic model for traffic system. This model is used to overcome the problem of traffic congestion in cities. Consequently, travelling time, fuel consumption and pollution can reduce. Moreover, traffic flow prediction helps the transport users to plan their time of travel and also in selecting the travelling path depending on the predicted information. In this paper, we used density of vehicles variable to design a system which uses the green signal depending on the number of vehicles in that particular line. Here fuzzy logic toolbox of MATLAB is used. The fuzzy sets and membership functions are chosen in an appropriate manner. KeywordsFuzzy logic toolbox, density, signal time, traffic system.The success of fuzzy logic can be realized when [8], asserts that there are thousands of patents in Japan and in the United States

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