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The probability or risk of traffic accidents must be estimated quantitatively in order to implement effective traffic safety measures. In this study, various statistical data and probability theory were used to examine a method for predicting the risk of crossing-collisions, representing a typical type of accident at intersections in Japan. Crossing-collisions are caused by a variety of factors, including the road geometry and traffic environment at intersections and the awareness and intentions of the drivers of the striking and struck vehicles. Bayes' theorem was applied to find the accident probability of each factor separately. Specifically, the probability of various factors being present at the time of a crossing-collision was estimated on the basis of traffic accident data and observation survey data.

Indexes of thermal comfort, such as PMV (Predicted Mean Vote: ISO-7730), which have traditionally been applied to houses or buildings, are difficult to be applied to the automotive passenger compartment because of the large thermal differences that exist around vehicle occupants. In this work, the effects of temperature, airflow and solar radiation on passenger comfort in an air-conditioned vehicle interior were analyzed. Based on the results obtained, a method was devised for predicting the feeling of comfort passengers get from the thermal atmosphere in the vehicle interior. This paper explains the necessity of providing a diffused airflow in an air-conditioned passenger compartment, based on the effects of airflow on the feeling of comfort. Further, a new airflow control procedure is proposed which combines both diffused and concentrated airflow patterns to create a new variable airflow system.