Intelligent scheduling method for automatic drive buses

Abstract

The invention discloses an intelligent scheduling method for an automatic drive buses, and the method comprises the following steps: enabling an intelligent scheduling system to execute the scheduling of automatic drive buses under the normal conditions according to the static scheduling scheme; enabling a monitoring system to monitor the passenger flow volume data, line traffic condition data, vehicle position information and vehicle operation state information in real time, and transmitting the monitoring data to an abnormal event detection system; enabling the abnormal event detection system to judge whether an abnormal event happens according to the monitoring data or not: executing a next step if the abnormal event happens, or else returning to a former step; determining the types of the abnormal event, and enabling the intelligent scheduling system to carry out the corresponding dynamic scheduling scheme for the automatic drive bus according to the types of the abnormal event, wherein the abnormal events comprise passenger flow abnormality, vehicle state abnormality and line operation abnormality. The method can achieve the full-automatic reasonable scheduling of the whole automatic drive bus fleet, effectively reduces the waiting time of passengers, and reduces the operation cost of a bus company.

Description

technical field [0001] The invention relates to the field of self-driving public transport, in particular to an intelligent scheduling method for self-driving public transport. Background technique [0002] The "Twelfth Five-Year Plan" outline for the first time pointed out the future urban transportation development goals, that is, to realize the comprehensive development of urban public transportation in five years from 2011 to 2015, implement the grand strategy of public transportation first and give priority to development, improve the urban public transportation system, and create an intelligent A modern new bus system that is modernized, informatized, fast and hierarchical. In recent years, more and more scientific research institutions and enterprises are keen on the research of autonomous driving technology, and have invested a lot of money and talents. The autonomous driving technology has achieved remarkable results, and various autonomous driving vehicles have com...

AI Technical Summary

Problems solved by technology

In addition, there is no solution for detecting and classifying abnormal events in the prior art

[0008] At present, the existing bus dispatching systems are all for manned buses, and there is no dispatching system for autonomous buses; there is a big difference between manned buses and autonomous buses. Driving a bus without a driver, the driver can make corresponding adjustments according to abnormal events without the need for the dispatching system to give relevant instructions

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