OD travel time reliability estimation method and system based on robust statistics

Abstract

The invention discloses an OD travel time reliability estimation method and system based on robust statistics, and the system comprises an interaction module, a data docking and preprocessing module,a map visualization module, and a TTR estimation module. The method comprises the following steps that firstly, operation data of a taxi is obtained, and the operation data is transmitted to the datadocking and preprocessing module by the interaction module to carry out data analysis and processing to obtain a travel module corresponding to the operation data; then, a spatial range correspondingto the operation data is subjected to gridding processing through a map visualization module to obtain units in a congruent shape, and spatial collection of a starting point and a destination point ofa taxi journey is achieved; meanwhile, a robust statistical method is adopted to obtain a TTR index through a TTR estimation module, after filling processing is conducted through a map visualizationmodule, space interpolation is achieved through a Kriging method, and finally reliability estimation of OD travel time is achieved. The method has robustness in the reliability estimation process of the OD travel time of the outlier samples with large travel time value difference.

Description

technical field [0001] The invention belongs to the technical field of traffic monitoring, and is mainly used for reliability estimation of OD travel time of taxis, in particular to a method and system for estimating reliability of OD travel time based on robust statistics. Background technique [0002] At present, there are two main types of estimation methods for Travel Time Reliability (TTR), one is based on the original travel time data and is processed by statistical methods, and the other is based on a large number of travel time sample data. Fitting and further reliability estimation; both types of methods are data-driven methods. The operation of taxis has different characteristics from social vehicles. Taxi drivers sometimes do not choose the most direct (time-saving) route between OD point pairs. There are situations such as detours and carpooling, which will significantly increase OD The travel time between point pairs is an obvious outlier sample in statistics. ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method and system for OD travel time reliability estimation based on robust statistics to solve the problem of poor robustness in the processing of travel time samples with outliers for taxis in the prior art. Based on the travel time samples processed by the vehicle GPS positioning data, the reliability index of the travel time is estimated, so as to improve the robustness and maintain the operating efficiency of the algorithm, saving time and cost

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