Method and system for assessing current travel demand and predicting future travel demand

Abstract

A method and device for evaluating current travel demand in a predetermined area, and a method and system for predicting future travel demand in a predetermined area, wherein the method for evaluating current travel demand includes: acquiring land use data corresponding to a predetermined area within a predetermined time period, Resident activity characteristic data and wireless communication equipment data; divide the predetermined area into n sub-areas according to certain rules, and obtain the corresponding land use data and wireless communication equipment data of each sub-area within a predetermined time period through analysis; The corresponding land use data and wireless communication device data within the predetermined time period are respectively fused to obtain first fusion data; current travel demand information in the predetermined area is obtained according to the first fusion data and the resident activity characteristic data. The invention solves the problems of inaccurate and inaccurate data caused by inaccurate and untimely evaluation results in the prior art and failure to consider that not all travelers have equipment that can generate mobile data.

Description

Technical field [0001] The present invention relates to the technical field of traffic planning, in particular to a method and system for traffic demand assessment and prediction. Background technique [0002] Since the OD matrix quantitatively displays the spatial distribution of traffic demand in the network, it is of great significance for analyzing and solving urban traffic problems. Therefore, it has gradually gained attention in my country. Some cities regularly conduct traffic surveys to understand the characteristics of traffic demand. [0003] However, in the resident travel survey, travelers are required to recall and record their previous travel. The interviewees often fail to accurately recall their travel information, or lose patience due to the trivial survey items, and refuse to fill in or fill in at will. Accuracy has an impact. [0004] With the rapid advancement of my country’s urbanization process and the increasing scale of cities, the construction of new distric...

AI Technical Summary

Problems solved by technology

[0006] At present, some technologies that use mobile phone signaling data to analyze the traffic demand between traffic areas have appeared in the existing technology, but the actual situation is that not all residents have wireless communication equipment or some residents have equipment but have not Participate in surveys, i.e. not all travelers have devices that generate mobility data

Based on the traditional data collection method such as the travel survey of residents and the method of using wireless communication device data to obtain residents' travel information in the prior art introduced above, it is impossible to accurately assess the current travel demand

Moreover, the existing technology does not provide a method and system for predicting the future travel demand of the traffic area based on the current travel demand obtained through relatively accurate assessment.

Images