Study on Offset of Arterial Traffic Control Based on Satisfaction Degree

By analyzing the previous offset optimization models and algorithms for arterial control systems, the paper provides a new offset optimization model and a relevant algorithm based on satisfaction degree. At first, by utilizing the Bayes Dynamic Model and its forecast algorithm, we get the travel velocity of road section and its distribution parameters. Secondly, by analyzing the relationships between travel velocity and offset of arterial control systems, we obtain optimal control scheme on the basis of multi-attribute decision making methods about satisfaction degree. The parameters, such as travel time, delay and average queue length etc., are considered mainly in the process of decision making. Finally, an example is given to verify the validity of the model and the algorithm.