An Estimation Method of Intersection Timing Scheme Based on Electric Police Checkpoint Data

Abstract

The invention relates to a method for estimating an intersection timing scheme based on electric police bayonet data, comprising the following steps: 1) constructing a two-layer programming problem model for estimating an intersection timing scheme; Constraints for signal ratio estimation; 3) For all possible phase combinations of the controlled flow direction, define dummy variables that characterize the relationship between the turn-on sequence and the length of the green light in the straight flow direction and left-turn flow direction, and obtain the constraint conditions of the phase structure; 4) Combining the constraints of period length, phase difference, phase structure and green signal ratio estimation, the least square method is used to solve the bilevel programming problem of intersection timing scheme estimation, and the final estimated timing scheme is obtained. Compared with the prior art, the present invention has the advantages of full parameter estimation, high estimation precision, wide applicability and the like.

Description

technical field [0001] The invention relates to the technical field of traffic operation signal timing, in particular to a method for estimating an intersection timing scheme based on electric police bayonet data. Background technique [0002] As a sign of discontinuous flow, the signal timing scheme makes the traffic flow have periodic characteristics in the time dimension. It is an important input in estimating traffic operation evaluation indicators such as queue length and delay, and it is also an optimization problem when optimizing signal control. Decision variables, although the current signal control field has developed to the stage of induction control and adaptive control (such as SCOOT, SCATS, etc.), the multi-period timing control mode still occupies a dominant position in most countries and regions. However, in practice, due to the clock offset of the detection system or human intervention, the accurate signal timing scheme is often not available, or there is a ...

AI Technical Summary

Problems solved by technology

However, in practice, due to the detection system clock offset or human intervention, the accurate signal timing scheme is often not available, or there is a large deviation between the timing scheme provided by the traffic control department and the actual running timing scheme

[0003] Most of the existing timing estimation methods are based on floating vehicles or sampled trajectory data through deterministic traffic wave analysis methods and non-deterministic probability statistics methods. For timing estimation methods based on vehicle trajectory data, the calibration of stop lines and The space-time coordinates of vehicles joining and leaving the queue are the primary link, so the capture rate and upload frequency of vehicle trajectories have a great impact on the estimation accuracy. In terms of estimated parameters, the cycle length and the green light duration of a single flow direction are the most common estimates parameters, but the research on the estimation of the full parameters of the timing scheme is still rare, and the estimation of the phase structure is mostly based on the selection of predetermined candidate phase structure schemes

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