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Data syncretizing method for urban traffic circulation indexes

A technology of data fusion and smoothness, which is applied in the direction of traffic flow detection, traffic control system, traffic signal control, etc., and can solve problems such as queue length and parking rate that cannot meet urban road traffic control

Inactive Publication Date: 2010-05-05
BEIJING JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the continuous increase of traffic demand and the higher and higher requirements for the smoothness of the road network, the traditional single traffic control objectives such as intersection delay, queue length and parking rate can no longer meet the needs of urban road traffic control.

Method used

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  • Data syncretizing method for urban traffic circulation indexes
  • Data syncretizing method for urban traffic circulation indexes
  • Data syncretizing method for urban traffic circulation indexes

Examples

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Embodiment 1

[0044] Embodiment 1: The data fusion method of the smoothness index of the intersection, such as figure 1 Shown is a schematic diagram of the data fusion method of the traffic flow index of the intersection according to the present invention, and the traffic flow index of the intersection is determined by the average delay time of vehicles in each phase in the intersection. The average delay time of a vehicle includes: dwell time and lost time, where the dwell time refers to the queuing waiting time at an intersection, which is calculated from the dwell time determined by the vehicle saturation, which is determined by the cycle of traffic lights It is determined by the length, green signal ratio, traffic flow and saturated flow; the lost time refers to the time delayed due to the phase conversion of the intersection and the driver's reflection, which is determined by four different situations when the vehicle enters the control area of ​​the signal light at the lion intersectio...

Embodiment 2

[0086] Embodiment 2 The Fusion Method of the Unimpededness Index at Multiple Intersections on Arterial Lines

[0087] Such as figure 2 A schematic diagram of the data fusion method for the flowability index of multiple arterial intersections according to the present invention is shown. In multi-arterial intersections, the smoothness index is reflected by the average travel time delay of vehicles passing through the intersections of the arterial line. The average travel time delay of each intersection of the arterial line is composed of two parts, one is the estimated travel time and the ideal travel time The difference; the second is the average delay time of vehicles at each intersection. Among them, the data fusion steps of each smoothness index include:

[0088] Step 1: Estimation of Mainline Travel Time

[0089] The trunk line travel time refers to the time it takes for a vehicle to enter the trunk line, pass through all the intersections of the trunk line, and leave t...

Embodiment 3

[0108] Embodiment 3 The data fusion method of the smoothness index of multi-trunk and multi-intersection in the road network, such as image 3 As shown, the road network multi-artery multi-intersection smoothness index is reflected by the average travel time delay weighted expectation value of several arterials in the region. Similar to the idea of ​​single-point control intersection smoothness index, weighted expectation is also an improvement, considering the relationship between primary and secondary arterial roads, that is, the weight assigned to major arterial roads is relatively large while the weight of secondary arterial roads is relatively small.

[0109] Taking a traffic network with four main lines as an example, the north-to-south main line on the left is represented by LNS, the north-to-south main line on the right is represented by RNS, the west-to-east main line below is represented by DWE, the west-east main line above is represented by UWE, and the cross The p...

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Abstract

The invention provides a data syncretizing method for urban traffic circulation indexes, comprising the steps of: (1) data syncretizing for a crossing circulation index presented by an average delayed weighting expected value of vehicles from the various directions, (2) data syncretizing for a trunk line multi-crossing circulation index presented by an average travelling time delay for vehicles passing by the crossings of the trunk line, and (3) data syncretizing for a road network multi-crossing circulation index presented by an average travelling time delayed weighting expected value in each trunk line in the road network. The method of the invention realizes the optimizing control for traffic by acquiring traffic parameters to perform data syncretizing for urban traffic circulation indexes based on a traffic state acquiring technique of urban traffic. The invention has universality, comprehensiveness and flexibility.

Description

technical field [0001] The invention relates to the technical field of multi-source data fusion of urban road traffic, in particular to a data fusion method for urban road traffic flow control indicators. Background technique [0002] With the continuous increase of traffic demand and the higher and higher requirements for the smoothness of the road network, the traditional single control objectives of traffic, such as intersection delay, queue length and parking rate, can no longer meet the needs of urban road traffic control. In order to improve the traffic operation conditions and meet the needs of traffic travelers for high smoothness, it is necessary to establish a control method with smoothness as the main goal to directly, systematically and quantitatively characterize the degree of traffic flow congestion. [0003] When traffic travelers participate in traffic, the travel time will inevitably be prolonged due to factors such as road and environmental conditions, traf...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/00G08G1/07G08G1/01
Inventor 贾睿妍邓文董宏辉秦勇徐东伟李海舰史元超贾利民
Owner BEIJING JIAOTONG UNIV
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