An Adaptive Signal Control Method Based on Prediction of Flow Difference Between Adjacent Periods

Abstract

The invention provides an adaptive signal control method based on prediction of flow difference between adjacent periods. The invention sets the phase sequence, and calculates the duration of the yellow light at the end of the phase and the duration of the full red light; it detects the traffic flow of each lane group in different phases in one signal cycle in units of cycles, and according to the traffic flow of the first four cycles, Calculate the traffic flow difference between adjacent periods to obtain 3 actual traffic flow differences, and calculate the predicted value of the traffic flow difference in the next period according to its change trend to obtain the flow forecast value of the next period; if the period is divided by 3 When the remainder is 1, the signal period is calculated according to Webster’s optimal period formula and the green light time is allocated according to the forecast value of the periodic flow rate; The number of stranded vehicles in the phase, the predicted value of the flow difference in the next cycle, calculate the green light extension time of each phase, and obtain the green light duration and cycle duration of each phase.

Description

technical field [0001] The invention belongs to the field of traffic design and signal control, and in particular relates to an adaptive signal control method based on prediction of flow difference between adjacent periods. Background technique [0002] Traffic signal control is the guarantee for the scientific allocation of road rights, the separation of time and space for motorized workshops, and the orderly and efficient operation of the traffic system. At present, traffic signal control methods at home and abroad mainly include timing control, inductive control and adaptive control. The traffic flow has the characteristics of uneven time, day and month in the time distribution; in the space distribution, it has the characteristics of uneven direction, uneven lanes, and uneven road sections. Considering the above factors, the traditional fixed time distribution can no longer meet the current traffic demand, while the inductive signal control system is suitable for inters...

AI Technical Summary

Problems solved by technology

However, the prediction scheme based on historical template data cannot cope with emergencies and has low reliability; the prediction method based on upstream intersection data needs to deploy multiple detectors, which is costly, and the regularity of vehicle arrival distribution is not strong, and the prediction accuracy is low; Due to data processing and transmission, there is a time delay in transmitting the prediction results of the previous cycle data to the signal control machine, and the real-time performance of the system is not strong

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