Intersection control delay prediction method based on random traffic demand and traffic capacity

Abstract

The invention discloses an intersection control delay prediction method based on random traffic demand and traffic capacity. The method comprises the steps of calculating the probability distribution function of the initial queuing length of each cycle of an intersection and intersection joint probability distribution function according to input intersection traffic volume and green ratio joint probability distribution function, intersection saturation flow probability distribution function, signal control cycle duration and data acquisition time interval; predicting signal control delay of the intersection within one cycle according to the actual initial queuing condition of the intersection, actual intersection traffic capacity and actual intersection traffic volume; calculating the long-term mean value and standard deviation of signal control delay according to the signal control delay of the intersection within one cycle and the intersection joint probability distribution function; conducting intelligent traffic signal control according to the calculated long-term mean value and standard deviation of the signal control delay. The method has the advantages of being small in error and convenient to use and can be widely applied to the field of intelligent traffic.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a method for predicting intersection control delay based on random traffic demand and traffic capacity. Background technique [0002] Due to the intersection of traffic and people in different directions at the intersection, congestion, collisions, disorder, and even traffic accidents often occur. In order to solve the traffic conflict at the intersection and ensure the safety of pedestrians and vehicles, it is necessary to control the order of the intersection. Traffic signal control separates the conflicting traffic flow from time to time, which achieves the above purpose better. However, the traffic flow in each direction is given the right of way in turn, and the vehicles have to temporarily stop or slow down to abide by the order, that is, compared with the traffic status of the vehicles on the road section, the vehicles will be delayed at the intersection, and the...

AI Technical Summary

Problems solved by technology

At this time, if the three major delay calculation models are still used to predict the delay, it will lead to large errors in the prediction results, and it is difficult to provide accurate decision-making assistance for subsequent traffic signal control, which is not accurate enough

In addition, the signal control delay predicted by the three traditional models can only be used to reflect the signal control delay of traffic flow in a short period of time (for example, within 5 minutes or 15 minutes), but it cannot reflect the signal control delay of the intersection in a longer time ( For example, the change trend within one day and the average value over a longer period of time increase the difficulty of evaluation, signal control optimization and travel route selection for managers, transportation departments and travelers, which is not convenient enough

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