Method used for obtaining time headway stability coefficients

Abstract

The invention provides a method used for obtaining the time headway stability coefficients, and the method comprises: obtaining the information of data of the real-time arrival bus station positions in an analyzing period; dividing the data into groups according to the route ID and the operation direction; according to the departure time and the arrival time of the bus, performing the sequencing process and calculating the planned time headway and the actual time headway; based on the calculated and obtained time headway, calculating the difference; according to the difference, calculating the standard difference; according to the standard difference and the planned time headway, obtaining a time headway stability coefficient; and finally, repeating the above sequencing process, difference and standard difference calculating, and the time headway stability coefficient calculating until the time headway stability coefficients in all groups are calculated completely. The method is capable of obtaining the time headway stability coefficients effectively, rapidly and accurately so as to provide strong support in smart traffic planning and policy making.

Description

technical field [0001] The invention relates to the technical field of command traffic planning and decision-making, in particular to a method for obtaining headway stability. Background technique [0002] Mixed traffic is a basic feature of urban traffic. In the mixed traffic environment, the characteristics of motor vehicles, non-motor vehicles and pedestrians are different, which leads to a decline in the utilization rate of road facilities and the quality of traffic operation, and brings great challenges to urban road traffic management and control. In the field of public transportation, especially in the operation of urban public transport, although various methods have been tried to improve the efficiency and predictability of the operation and relieve the traffic pressure, due to the driver's subjective driving behavior, road carrying capacity and various sudden Due to factors such as traffic jams or mixed traffic, the bus cannot arrive at the station on time. [00...

AI Technical Summary

Problems solved by technology

In a mixed traffic environment, the characteristics of motor vehicles, non-motor vehicles and pedestrians are different, resulting in a decline in the utilization rate of road facilities and the quality of traffic operation, which poses a huge challenge to urban road traffic management and control

In the field of public transportation, especially in the operation of urban public transport, although various methods have been tried to improve the efficiency and predictability of the operation and relieve the traffic pressure, due to the driver's subjective driving behavior, road carrying capacity and various sudden Due to factors such as traffic jams or mixed traffic, the bus cannot arrive on time

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