Bus historical alarm data-based driver space risk early warning method

• Main Authors: YANG XIAOQING, DENG SHEJUN, BIAN ZHANGLEI, ZHOU PENG, PENG LANG, YU SHIJUN, LIU GENJI
• Format: Patent
• Language: Chinese; English
• Published: 09.07.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a bus historical alarm data-based driver space risk early warning method, which comprises the following steps of acquiring bus driver driving alarm data and transmitting the data into a database, and dividing a road analysis area according to a city where the alarm data is located; carrying out risk classification on bus drivers, and carrying out spatial connection on the alarm data and the divided risk analysis areas; performing spatial connection on alarm data of different types of high-risk drivers and the divided risk analysis areas; comparing the personalized high-risk alarm analysis area with the general high-risk alarm analysis area, and performing risk probability prediction on the early warning driver based on a Markov chain; performing risk probability prediction on the early warning driver based on a metabolism grey GM (1, 1) model, and fusing two risk probability prediction results to obtain a comprehensive risk early warning probability; and according to the comprehensive