Intermittent flow path section travel time estimation method based on floating car data and coil flow fusion

Abstract

The invention discloses an intermittent flow path section travel time estimation method. The floating car data and coil flow data exist on a target road section at the same time; the road section average travel time is estimated by fusing the floating car data and coil flow on the target road section; the floating car sample size divided by the coil flow is used as an index of the floating car sample coverage rate; and the estimated value of the road section average travel time is determined by taking the index as reference and combining the excavation of the history data in the same time interval. The method disclosed by the invention can effectively fuse the floating car data and the coil flow data, and the accuracy of the estimated value of the road section travel time is higher than the traditional accuracy of the estimated value of the floating car road section travel time and the estimated value of the coil road section travel time, thereby bringing important significance to the intelligent traffic service, the traffic management and the like. According to the invention, the method and technology are simple and easy to implement, the operation conditions are easy to meet, and the method is easy to popularize and apply in large and medium-size cities.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, in particular to the estimation and prediction of travel time in the field of traffic flow induction and management, and more specifically, to a method for estimating the travel time of intermittent flow sections based on the fusion of floating vehicles and flow data. Background technique [0002] Interrupted Flow means that traffic flow facilities have fixed elements that cause periodic interruptions in traffic flow. These elements include traffic signals, stop signs, and other types of control equipment. Regardless of the amount of traffic present, these devices cause traffic to stop periodically (or significantly slow down), which means that the flow of traffic on the road is interrupted by external factors, such as road intersections, signs or signals. fluid body. Generally speaking, the traffic flow on urban surface roads is discontinuous. [0003] The travel time predic...

AI Technical Summary

Problems solved by technology

[0006] Different from floating car data, coil data is a kind of cross-section data (including cross-section flow, cross-section occupancy rate, cross-section instantaneous speed and other information), and it is impossible to accurately estimate the travel time of a road section solely relying on coil data

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