Time sequence multiple linear regression-based virtual speed sensor design method

• Main Authors: XU DONGWEI, DONG HONGHUI, DENG WEN, LI HAIJIAN, QIN YONG, JIA LIMIN
• Format: Patent
• Language: Chinese; English
• Published: 25.05.2011
• Subjects: PHYSICS; SIGNALLING; TRAFFIC CONTROL SYSTEMS

The invention discloses a time sequence multiple linear regression-based virtual speed sensor design method, which belongs to the technical field of traffic state acquisition and relates to data processing analysis and data fusion of a traffic flow sensor. The method comprises the following steps of: first, setting a virtual speed sensor between adjacent sensor nodes; then, mapping speed data on a time sequence to a space sequence and training a weight matrix which correlates to the speed of the virtual speed sensor and the speed data obtained by the traffic flow sensor by a least square method; and finally, estimating the speed of each virtual speed sensor through multiple linear regression by utilizing a weight coefficient and the speed data of the traffic flow sensor. The method can acquire the spatial distribution of the speed on a road section, can acquire more accurate traffic information and provides the basis for traffic management and control.