Signal intersection parking delay determination method based on single section detector

Abstract

The invention belongs to the field of traffic signal control and particularly relates to a signal intersection parking delay determination method based on a single section detector. An arrival distribution model of a vehicle arriving at an intersection is established on the basis of on-line or off-line traffic information of the vehicle entering the intersection, and traffic flow dissipation and distribution is obtained on the basis of the traffic characteristics of the vehicle exiting a stop line so as to deduce the queuing length and the vehicle starting time. Combining the established vehicle arrival distribution model and the flow of vehicles exiting the stop line, vehicle arrival distribution is deduced to enable the traffic flow dissipation and distribution and the traffic flow arrival distribution to have the same vehicle amount, thereby avoiding the problem of inconsistent vehicle flows detected by a front detection section and a back detection section; and the error caused by vehicle lane change is solved by taking the flow of vehicles exiting a detection region as a datum, thereby avoiding the accumulation error. The invention divides parking delay into the parking delay which can be directly obtained by the single section detector and the parking delay which exceeds a single section detection range based on the detection range of the single section detector. The invention has the advantages of easy implementation, high accuracy, strong real-time performance and the like.

Description

technical field [0001] The invention belongs to the technical field of traffic signal control, in particular to a method for measuring parking delay at signalized intersections based on a single-section detector. Background technique [0002] The intelligent transportation system provides a series of effective methods to solve the increasingly serious traffic problems, and has been unanimously recognized and valued by the transportation industry. The traffic signal control system is one of the most important components of the intelligent transportation system. As a key characteristic parameter of intersection traffic in the traffic signal control system, parking delay is of great significance to both the real-time signal control optimization of intersection and the evaluation of intersection traffic status. Parking delay refers to the time loss for vehicles to stop due to the influence of signal control at signalized intersections. Although many scholars at home and abroad ...

AI Technical Summary

Problems solved by technology

Therefore, in practical applications, the above traditional methods based on detection cross-sections have encountered the following problems: 1) Vehicles are prone to lane-changing behaviors at actual intersections, resulting in a decline in the detection accuracy of the traditional three methods based on detection cross-sections; It cannot achieve 100% accuracy. Once there is an error in the detector coil or virtual detection coil, it is easy to cause the front and rear vehicles to fail to correspond or the total number of front and rear vehicles cannot be conserved, thereby further reducing the traditional double-section and multi-section parking delay acquisition methods. 3) The first two types of errors lead to the accumulation of the detection system, which makes the detection accuracy drop sharply; 4) When there are many vehicles in the queue and exceed the range of the detection section, the three methods based on the detection section cannot measure the parking delay.

[0009] 1. The layout requirements of urban road facilities limit the promotion and application of high-altitude full tracking method

[0010] 2. The traditional cross-section-based real-time detection method for parking delays is based on the assumption that the vehicle’s first-in-first-out or front-to-back detection cross-section flow conservation is the assumption. In real roads, there are detection errors caused by vehicles changing lanes after entering the detection area and the front and rear detectors themselves. As a result, it is difficult to match the traffic flow at the front and rear detection sections, which reduces the detection accuracy; at the same time, these errors induce cumulative errors in the entire detection system, which makes the detection accuracy drop sharply; in addition, when the queuing vehicles exceed the detection range, the traditional method based on the detection section will Unable to get parking delays for all vehicles

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