Method for predicting vehicle delay through lane division in real time based on IQA

Abstract

The invention relates to a method for predicting vehicle delay through lane division in real time based on IQA, and belongs to the technical field of intelligent transportation. The invention constructs an IQA delay polygon based on a method for predicting the queue length through lane division in real time and the traffic wave theory, and predicts the vehicle delay through the lane division in real time. By predicting IQA in advance, the defect that the real-time data is difficult to obtain when IQA is used for delay calculation in the past is made up, and the accuracy of the delay calculation is improved. According to the method for predicting vehicle delay through lane division in real time based on IQA, vehicle delay information can be obtained in advance by lane division, and passivedelay estimation is changed into active delay prediction, thereby facilitating the signal optimization design for relevant intersections or crowded roads in advance, so that the purpose of alleviatingthe traffic congestion and improving the travel environment can be achieved.

Description

technical field [0001] The invention relates to an IQA-based real-time lane-divided vehicle delay prediction method, which belongs to the technical field of intelligent transportation. Background technique [0002] Delay is an important parameter in traffic signal timing optimization and LOS estimation at signalized intersections, but it is also a difficult parameter to estimate. Intersection delays mainly come from parking queues, and a large part of the delay estimation based on queue length in adaptive signal control systems comes from Webster's theory and equations, stochastic queuing theory, queuing vehicle delays and time-dependent delay formulas, such models It is often suitable for delay estimation based on long-term (multi-period) units, which is not conducive to short-term (single-period) delay calculation, and cannot reflect random traffic demand. Based on the above model, the Incremental Queue Accumulation (IQA) delay estimation method is a new delay estimation ...

AI Technical Summary

Problems solved by technology

Intersection delays mainly come from parking queues, and a large part of the delay estimation based on queue length in adaptive signal control systems comes from Webster's theory and equations, stochastic queuing theory, queuing vehicle delays and time-dependent delay formulas, such models It is often suitable for long-term (multi-period) delay estimation, which is not conducive to short-term (single-period) delay calculation, and cannot respond to random traffic demand

Based on the above model, the Incremental Queue Accumulation (IQA) delay estimation method is a new delay estimation method for signalized intersections adopted in the 2010 US traffic capacity manual. Research shows that the IQA method is theoretically Compared with the traditional delay estimation model, it has stronger robustness and higher accuracy, but the difficulty of field data collection greatly restricts the use of the model

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