The article is published in the original.
With the rapid development of economic and scientific levels, urban traffic in China has been further improved. Moreover, the number of private cars is increasing because of the improvement of living standard. However, various traffic problems such as traffic jam, traffic accidents, disordered traffic order and unreasonable travel structure come along. Therefore, the utilization and development of urban intelligent traffic is an inevitable choice for the improvement of Chinese traffic. This study mainly investigated the application of wireless sensor network in urban intelligent traffic information acquisition. Differential Time of Arrival (DTOA) technology, least square method and Kalman filter algorithm were used to improve the location accuracy of vehicles. Moreover, Matlab simulation experiment was performed. The method proposed in this study can improve the acquisition speed of information and positioning accuracy of vehicles. This work is beneficial to the solution of traffic disorder.