Shift adjustment method based on vehicle-mounted intelligent terminal equipment and historical passenger flow big data

Abstract

The invention discloses a shift adjustment method based on vehicle-mounted intelligent terminal equipment and historical passenger flow big data. The method comprises the following steps that 1, the vehicle-mounted intelligent terminal equipment receives an event type instruction reported by a driver; 2, a dispatcher of a dispatching center judges whether or not a shift adjustment instruction is supposed to be sent; 3, a detailed shift adjustment instruction of the dispatcher is received by the dispatching center; 4, an adjusted vehicle driver set in a period of time and shift departure time point set are generated; 5, the shift time point set Y is filled with the vehicle driver set X in sequence; 6, an adjusted shift arrangement plan is sent and executed. By means of the method, the controlling capability and the resilience of bus drivers for real-time events are improved; the stability, the accuracy, the reasonability and the timeliness of shift adjustment are improved; a passenger flow big data analysis result is taken full advantage, so that shift adjustment conforms to change rules of passenger flows more.

Description

technical field [0001] The invention relates to the field of intelligent transportation research, especially the field of passenger flow big data analysis and intelligent public transport, and in particular to a shift adjustment method based on vehicle-mounted intelligent terminal equipment and historical passenger flow big data. Background technique [0002] As my country's urbanization process accelerates, urban population density increases, and public transportation complexity increases, the incidence of emergencies in the public transportation industry is on the rise. At present, the dispatching center of the bus company faces various emergencies in the bus operation. The main way to deal with it is that the driver reports the type of event by phone, and relies on the experience of the dispatcher to make manual shift adjustments. When the driver reports the incident to the dispatch center, the description of the incident is often not clear, comprehensive, and timely; the...

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the deficiencies of the prior art, the purpose of the present invention is to provide a shift adjustment method based on vehicle-mounted intelligent terminal equipment and historical passenger flow big data. Problems such as high efficiency and low efficiency ensure that the dispatch center can accurately grasp the specific situation of on-site events, and judge whether there is a shift change for delayed vehicles, avoiding the possibility of reducing shifts for some reason, and improving the reliability of bus travel; at the same time, it is effective The verification mechanism ensures the rationality of the shift adjustment; by using the passenger flow peak segment obtained from the passenger flow big data analysis to divide the time period for the shift adjustment, the adjustment of the bus shift fully takes into account different environmental factors, different times, and different stations. The passenger flow of getting on and off the bus is more in line with the law of passenger flow, making bus scheduling or frequency adjustment more reasonable and accurate

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