A method and system for online car-hailing travel safety evaluation based on multi-source spatio-temporal data

Abstract

The present invention relates to a method and system for online car-hailing travel safety evaluation based on multi-source spatio-temporal data. The method of the present invention includes the following steps: data collection and preprocessing, section division, map matching, and multi-dimensional safety index calculation; the system of the present invention includes Multi-source spatio-temporal data analysis platform, geographic server, government terminal, enterprise terminal, driver terminal and passenger terminal. Compared with the existing static supervision system based on identity attributes, the present invention is based on multi-source spatio-temporal data mining, multi-dimensionally analyzes the road safety of each road section at each time and the driver safety of each driver on each road section, and then evaluates more accurately The safety level of online car-hailing travel, and the use of safety index to quantify the risk of online car-hailing travel, innovates the regulatory system, and is an important manifestation of the modernization of the governance system and governance capabilities. It can improve government management efficiency, realize dynamic corporate supervision, and standardize drivers. Driving behavior , to assist passengers in travel decision-making.

Description

technical field [0001] The present invention relates to the technical field of online taxi reservation, in particular to a safety evaluation method and system for online car-hailing travel based on multi-source spatio-temporal data. Background technique [0002] The safety evaluation and supervision of online car-hailing travel has become a hot and difficult issue that needs to be solved urgently. Looking at the existing related technologies and methods at home and abroad, most of them are qualitative research based on static data, and there is a lack of quantitative research based on multi-source spatiotemporal data. Most of the existing regulatory systems currently exist are composed of online declaration, qualification review and status monitoring. They are mainly static regulatory systems based on identity attributes, and lack dynamic regulatory systems based on driving behavior. Contents of the invention [0003] The purpose of the present invention is to provide a n...

AI Technical Summary

Problems solved by technology

Looking at the existing related technologies and methods at home and abroad, most of them are qualitative research based on static data, and lack of quantitative research based on multi-source spatiotemporal data.

However, most of the existing supervision systems are composed of online declaration, qualification review and status monitoring. They are mainly static supervision systems based on identity attributes, and lack dynamic supervision systems based on driving behavior.

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