Detection and Dissipation Method of Urban Intersection Congestion Event Based on FCD

Abstract

The present invention provides a method for detecting and dispersing a city intersection jam event based on FCD, comprising the steps of: obtaining average driving speed and driving time of a floating car on a road associated with an entrance direction of a to-be-detected intersection according to GPS data uploaded by the floating car in real time, judging whether the average driving speed is less than a jam speed threshold of the entrance direction of the to-be-detected intersection, and simultaneously judging whether the driving time is greater than several times of a signal period of the entrance direction of the to-be-detected intersection, then determining the jam situation of the entrance direction of the to-be-detected intersection, timely performing jam dispersing for the entrance direction of the to-be-detected intersection, and updating the traffic state of the entrance direction of the to-be-detected intersection. The method of the present invention is simple and easy to realize; the method judges jam for not only one time, thus the chance of jam judgment is eliminated, and whether the jam is dispersed is considered at the same time when the jam is judged, thus the situation that the intersection is in a jam state all the time can be eliminated; and the method comprehensively considers influence on traffic jam of intersection signal control, thereby achieving high accuracy.

Description

technical field [0001] The invention relates to the technical field of intersection traffic state detection, in particular to an FCD-based urban intersection congestion event detection and dissipation method. Background technique [0002] Urban traffic congestion has brought serious challenges to the traffic management of modern cities, and automatic incident detection (AID) technology provides the possibility to solve the problem of urban traffic congestion. Most of the existing AID methods are aimed at highways or urban expressways, where parking rarely occurs, and in urban areas due to the existence of intersection lights, parking and waiting is an inevitable phenomenon, so these AID algorithms are difficult to directly implement application. In addition, the existing event detection algorithms based on floating car data (FCD) intuitively do not consider the impact of urban road traffic signal control on traffic congestion events, and urban intersection congestion is the...

AI Technical Summary

Problems solved by technology

Most of the existing AID methods are aimed at highways or urban expressways, where parking rarely occurs, and in urban areas due to the existence of intersection lights, parking and waiting is an inevitable phenomenon, so these AID algorithms are difficult to directly implement application

In addition, the existing event detection algorithms based on floating car data (FCD) intuitively do not consider the impact of urban road traffic signal control on traffic congestion events, and urban intersection congestion is the core of urban management, so it is necessary to design a comprehensive FCD-based urban intersection congestion event detection and dissipation method considering urban traffic signal control

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