Method for estimating OD position and OD matrix by means of traffic flow
A technology of traffic flow and traffic flow, applied in the field of traffic management, which can solve the problems of low accuracy and large subjective influence.
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2016-08-31
Smart Images
Figure 1 Figure 2 Figure 3
Abstract
Description
technical field
[0001] The invention relates to traffic management technology, in particular to a method for estimating OD position and OD matrix of traffic flow. Background technique
[0002] Many existing traffic OD estimation schemes are inflexible, because the OD estimation scheme needs to be obtained through a large number of traffic questionnaires or long-term observation of traffic road conditions in the early stage. More subjective judgments affect the accuracy of the results. Contents of the invention
[0003] In order to solve the problem that the OD position estimation of the existing traffic flow is subject to the subjective influence and the accuracy is low, the present invention proposes a method for estimating the OD position and OD matrix of the traffic flow. OD matrix model in different time periods in the road network.
[0004] The technical scheme adopted in the present invention is: a kind of method that traffic flow estimates OD position and OD matri...
Examples
Embodiment Construction
[0031] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.
[0032] Such as figure 1 As shown, a method for estimating OD position and OD matrix of traffic flow, specifically includes the following steps:
[0033] The first step is to obtain historical traffic flow: select a group of road networks consisting of N crossroads, each crossroad is connected by n road sections, N and n are natural numbers, and obtain the historical traffic of this road network within 24 hours traffic data S.
[0034] The second step, cluster analysis: based on the historical traffic flow data S of the highway network within 24 hours, the traffic flow data of each road section constitutes a characteristic data group, and cluster analysis is performed on the characteristic data group to obtain k classes and the traffic flow of k different time periods, which are sequentially recorded as S 1 to S k , k is a natural number an...