Case Study on the Computing Model of the Driving-Into Rate of Service Area

This paper establishes the relation model of driving-into rate and spacing of service areas. Based on the survey of Beijing-Shenyang expressway in Hebei province and the traffic data of service areas, this paper gets the relationship between spacing and driving-into rate of service areas, verifies that the driving time obeys the normal distribution using the Empirical Distribution Function of Probability and Statistics, then, establishes the Recursive Model of driving-into rate whose random variable is the driving time. The driving time is the function of spacing, so the relationship between spacing and driving-into rate is expressed by the formula. This model clarifies and quantifies the relationship between the driving-into rate and spacing by giving concrete form and makes up for the defects of the present methods. At the end, the two examples prove the applicability and advantage of new model.