Global dynamic travel demand estimation method based on multi-source traffic data

摘要

#$%^&*AU2019100989A420191010.pdf#####ABSTRACT Disclosed is a global dynamic travel demand estimation method based on multi-source traffic data. Dynamic traffic data and static mobile phone historical signaling data are fused. Resident global historical travel data and real-time traffic travel data are combined to 5 estimate resident global travel data in real time so as to greatly reduce the time and economic cost of OD survey. Besides, Chi-square distance is introduced to measure the accuracy of a constructed fusion model, thus determining an optimal leading travel mode threshold and obtaining an accurately estimated fusion model. The method of the present invention effectively perceives a real-time travel state of a large-scale resident travel by 10 combining real-time data of a taxi travel and a subway travel with mobile phone historical signaling data, performs timely perception and early warning for some crowd gathering events, and has a very important reference meaning for city planning and management. 16