Travel time prediction for urban arterial road

Based on the relative relationship of the traffic volume of segments on the urban road network, we studied the optimal space distribution of detectors with Statistic Analysis Techniques. Then we proposed the criteria of installing detectors on the urban roads, on the other hand, we predicted and checked out the non-detectors segments travel time using Neural Network Technique of Mix-structure Algorithm with the data of the road network of Changchun City, China. The research gives a way to solve the optimal space distribution of detectors on urban arterial road and non-detected segment travel time prediction with detected segment traffic information.