WO2010042973A8 - Tracking the number of vehicles in a queue - Google Patents

Tracking the number of vehicles in a queue Download PDF

Info

Publication number
WO2010042973A8
WO2010042973A8 PCT/AU2009/001304 AU2009001304W WO2010042973A8 WO 2010042973 A8 WO2010042973 A8 WO 2010042973A8 AU 2009001304 W AU2009001304 W AU 2009001304W WO 2010042973 A8 WO2010042973 A8 WO 2010042973A8
Authority
WO
WIPO (PCT)
Prior art keywords
queue
vehicles
estimate
loop detector
estimated
Prior art date
Application number
PCT/AU2009/001304
Other languages
French (fr)
Other versions
WO2010042973A1 (en
Inventor
Bernhard Hengst
Enyang Huang
Yang Wang
Getian Ye
Original Assignee
National Ict Australia Limited
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from AU2008905336A external-priority patent/AU2008905336A0/en
Application filed by National Ict Australia Limited filed Critical National Ict Australia Limited
Priority to AU2009304571A priority Critical patent/AU2009304571A1/en
Publication of WO2010042973A1 publication Critical patent/WO2010042973A1/en
Publication of WO2010042973A8 publication Critical patent/WO2010042973A8/en

Links

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions

Landscapes

  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention concerns tracking the number of vehicles in a queue using a loop detector (28) installed upstream from the start of the queue (26). Based on the data sensed by the sensor (28), the inflow rate to the queue is estimated and the outflow rate of the queue is also estimated. The number of vehicles in the queue is predicted (60) based on these flow estimates and a previous estimate of the number of vehicles in the queue. The estimated outflow rate also considers the impact of traffic control signals (32). In another aspect the invention estimates (64) the velocity of any vehicles passing the sensor (28) based on the sensor data. Then using this velocity estimate (64), updates 66 the queue length estimate. The use of a single loop detector reduces the costs of having to install video cameras or multiple loop detectors in order to determine a similarly improved estimate. It is able to provide an estimate of the number of vehicles in the queue when the queue is beyond the loop detector and when no vehicle passes over the loop detector. The improved estimate can be used by a traffic control management system so that a traffic signal (32) can be improved. The invention can be seen as a method, software and a computer system.
PCT/AU2009/001304 2008-10-15 2009-09-30 Tracking the number of vehicles in a queue WO2010042973A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU2009304571A AU2009304571A1 (en) 2008-10-15 2009-09-30 Tracking the number of vehicles in a queue

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
AU2008905336A AU2008905336A0 (en) 2008-10-15 Tracking the Number of Vehicles in a Queue
AU2008905336 2008-10-15

Publications (2)

Publication Number Publication Date
WO2010042973A1 WO2010042973A1 (en) 2010-04-22
WO2010042973A8 true WO2010042973A8 (en) 2011-07-07

Family

ID=42106110

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/AU2009/001304 WO2010042973A1 (en) 2008-10-15 2009-09-30 Tracking the number of vehicles in a queue

Country Status (2)

Country Link
AU (1) AU2009304571A1 (en)
WO (1) WO2010042973A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107170247A (en) * 2017-06-06 2017-09-15 青岛海信网络科技股份有限公司 One kind determines intersection queue length method and device

Families Citing this family (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103503044B (en) * 2011-04-21 2015-10-21 三菱电机株式会社 Driving supporting device
CN102411847B (en) * 2011-08-02 2013-10-02 清华大学 Traffic signal optimization method
JP5741310B2 (en) * 2011-08-10 2015-07-01 富士通株式会社 Train length measuring device, train length measuring method, and train length measuring computer program
CN102890866B (en) * 2012-09-17 2015-01-21 上海交通大学 Traffic flow speed estimation method based on multi-core support vector regression machine
CN102930724B (en) * 2012-10-31 2014-07-09 西南大学 Traffic signal management and control system
CN103280113B (en) * 2013-05-08 2014-12-24 长安大学 Self-adaptive intersection signal control method
US9426627B1 (en) 2015-04-21 2016-08-23 Twin Harbor Labs, LLC Queue information and prediction system
EP3236446B1 (en) * 2016-04-22 2022-04-13 Volvo Car Corporation Arrangement and method for providing adaptation to queue length for traffic light assist-applications
CN106683440B (en) * 2016-12-28 2019-11-15 安徽科力信息产业有限责任公司 Single-point intersection signal timing schemes evaluation method under unsaturated state
CN106683441B (en) * 2016-12-28 2019-12-31 安徽科力信息产业有限责任公司 Intersection signal timing scheme evaluation method
CN107045785B (en) * 2017-02-08 2019-10-22 河南理工大学 A method of the short-term traffic flow forecast based on grey ELM neural network
CN107134156A (en) * 2017-06-16 2017-09-05 上海集成电路研发中心有限公司 A kind of method of intelligent traffic light system and its control traffic lights based on deep learning
CN108629985A (en) * 2018-04-25 2018-10-09 梧州井儿铺贸易有限公司 A kind of zebra stripes guardrail that intelligence degree is high
CN110503822A (en) * 2018-05-18 2019-11-26 杭州海康威视系统技术有限公司 The method and apparatus for determining traffic plan
CN111627232B (en) * 2018-07-19 2021-07-27 滴滴智慧交通科技有限公司 Method and device for determining signal lamp period, timing change time and passing duration
CN110349407B (en) * 2019-07-08 2021-08-13 长安大学 Regional traffic signal lamp control system and method based on deep learning
CN114287023B (en) * 2019-09-25 2023-12-15 华为云计算技术有限公司 Multi-sensor learning system for traffic prediction
CN112530177B (en) * 2020-11-23 2022-03-04 西南交通大学 Kalman filtering-based vehicle queuing length estimation method in Internet of vehicles environment
CN113077640B (en) * 2021-04-13 2022-01-18 广东振业优控科技股份有限公司 Ring intersection traffic organization method, system and medium based on upstream intersection coordination control of inlets
CN114898575B (en) * 2022-04-24 2023-05-16 青岛海信网络科技股份有限公司 Electronic equipment and road section queuing length determining method
CN115424432B (en) * 2022-07-22 2024-05-28 重庆大学 Upstream diversion method based on multisource data under expressway abnormal event

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10022812A1 (en) * 2000-05-10 2001-11-22 Daimler Chrysler Ag Method for determining the traffic situation on the basis of reporting vehicle data for a traffic network with traffic-regulated network nodes
KR100459476B1 (en) * 2002-04-04 2004-12-03 엘지산전 주식회사 Apparatus and method for queue length of vehicle to measure

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107170247A (en) * 2017-06-06 2017-09-15 青岛海信网络科技股份有限公司 One kind determines intersection queue length method and device
CN107170247B (en) * 2017-06-06 2020-10-30 青岛海信网络科技股份有限公司 Method and device for determining queuing length of intersection

Also Published As

Publication number Publication date
WO2010042973A1 (en) 2010-04-22
AU2009304571A8 (en) 2011-12-01
AU2009304571A1 (en) 2010-04-22

Similar Documents

Publication Publication Date Title
WO2010042973A8 (en) Tracking the number of vehicles in a queue
US10249195B2 (en) Lane departure warning device and method
JP2017130198A5 (en)
WO2008086293A3 (en) A system and method for measuring the speed of vehicles or other objects
US20160121893A1 (en) Method and system for assisting overtaking
KR101219730B1 (en) Driver distraction warning system using rear view camera and method of thereof
WO2008103929A3 (en) Video processing systems and methods
MX341449B (en) Methods and systems for determining vehicle position in an automatic vehicle identification system.
WO2008133741A3 (en) Multiple sensor processing
WO2007112284A3 (en) Monitoring signalized traffic flow
WO2007126458A3 (en) Method and system for autonomous tracking of a mobile target by an unmanned aerial vehicle
WO2008039878A3 (en) Magnetic sensing system and method
WO2008070687A3 (en) Autonomous systems and methods for still and moving picture production
ATE451758T1 (en) DETECTION OF HIGH-SPEED MOTION IN A TELECOMMUNICATIONS SYSTEM
WO2012074935A3 (en) Alertness monitoring systems and associated methods
WO2009026195A3 (en) Apparatus and methods for fault detection at vehicle startup
WO2009140152A3 (en) Method and apparatus for driver control of a limited-ability autonomous vehicle
WO2008131218A3 (en) System and method for crossflow detection and intervention in production wellbores
WO2008019184A3 (en) Position tracking and proximity warning system
JP2013225295A5 (en)
JP2011180982A (en) Lane marker detecting apparatus
WO2008083195A3 (en) Low cost fluid flow sensor
WO2008107944A1 (en) Lane deviation prevention device, lane deviation prevention method, lane deviation prevention program, and recording medium
WO2014006081A3 (en) Method and device for detecting the slag level in a metallurgical vessel
WO2012032220A3 (en) Method and system for controlling computer tomography imaging

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 09820092

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase in:

Ref country code: DE

WWE Wipo information: entry into national phase

Ref document number: 2009304571

Country of ref document: AU

ENP Entry into the national phase in:

Ref document number: 2009304571

Country of ref document: AU

Date of ref document: 20090903

Kind code of ref document: A

122 Ep: pct application non-entry in european phase

Ref document number: 09820092

Country of ref document: EP

Kind code of ref document: A1