MX2016008333A - Estimacion rapida de parametro de trafico. - Google Patents
Estimacion rapida de parametro de trafico.Info
- Publication number
- MX2016008333A MX2016008333A MX2016008333A MX2016008333A MX2016008333A MX 2016008333 A MX2016008333 A MX 2016008333A MX 2016008333 A MX2016008333 A MX 2016008333A MX 2016008333 A MX2016008333 A MX 2016008333A MX 2016008333 A MX2016008333 A MX 2016008333A
- Authority
- MX
- Mexico
- Prior art keywords
- stoplight
- probability model
- data
- predicted
- cycle time
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
-
- 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
-
- 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
-
- 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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096783—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a roadside individual element
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Automation & Control Theory (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Tourism & Hospitality (AREA)
- Software Systems (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Artificial Intelligence (AREA)
- Atmospheric Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Computational Linguistics (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (AREA)
- Traffic Control Systems (AREA)
- Image Analysis (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
Abstract
Se recolectan datos sobre el movimiento del vehículo en un semáforo. Se prevé un tiempo de ciclo de semáforo con un modelo de probabilidad. Los datos se comparan con el tiempo de ciclo de semáforo previsto. Se aplica una función de ruido a los datos para generar datos con aplicación de ruido. El modelo de probabilidad del tiempo de ciclo de semáforo previsto se actualiza modificando la escala del modelo de probabilidad con los datos con aplicación de ruido para generar un nuevo modelo de probabilidad. Se proporciona una función del vehículo recomendada mediante una red a al menos una computadora del vehículo en función del tiempo de ciclo de semáforo previsto determinado mediante el nuevo modelo de probabilidad.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US14/747,187 US10495469B2 (en) | 2015-06-23 | 2015-06-23 | Rapid traffic parameter estimation |
Publications (1)
Publication Number | Publication Date |
---|---|
MX2016008333A true MX2016008333A (es) | 2016-12-22 |
Family
ID=56895044
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2016008333A MX2016008333A (es) | 2015-06-23 | 2016-06-22 | Estimacion rapida de parametro de trafico. |
Country Status (6)
Country | Link |
---|---|
US (1) | US10495469B2 (es) |
CN (1) | CN106295849B (es) |
DE (1) | DE102016111371A1 (es) |
GB (1) | GB2541511A (es) |
MX (1) | MX2016008333A (es) |
RU (1) | RU2016123642A (es) |
Families Citing this family (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6048421B2 (ja) * | 2014-01-31 | 2016-12-21 | トヨタ自動車株式会社 | 信号機のサイクル長推定装置 |
US10082797B2 (en) * | 2015-09-16 | 2018-09-25 | Ford Global Technologies, Llc | Vehicle radar perception and localization |
DE102017208878B4 (de) | 2017-05-24 | 2021-02-25 | Vitesco Technologies GmbH | Verfahren zum Prognostizieren zumindest eines Ampelschaltzustands während einer Fahrt eines Kraftfahrzeugs sowie Steuervorrichtung und Kraftfahrzeug |
CN107122874B (zh) * | 2017-06-22 | 2021-01-05 | 上海交通大学 | 用于城市交通应急疏散的道路控制方法 |
CN107257379B (zh) * | 2017-06-30 | 2021-01-22 | 百度在线网络技术(北京)有限公司 | 用于推送信息的方法和装置 |
JP6759473B2 (ja) * | 2017-06-30 | 2020-09-23 | シグニファイ ホールディング ビー ヴィSignify Holding B.V. | 交通経路変更機能を有する照明システム |
DE102017223579A1 (de) | 2017-12-21 | 2019-06-27 | Siemens Aktiengesellschaft | System und Verfahren zum Unterstützen einer Prognose einer zukünftigen Signalisierung eines Verkehrsinfrastrukturelements |
EP3865822A1 (en) * | 2018-05-15 | 2021-08-18 | Mobileye Vision Technologies Ltd. | Systems and methods for autonomous vehicle navigation |
CN109120463B (zh) * | 2018-10-15 | 2022-01-07 | 新华三大数据技术有限公司 | 流量预测方法及装置 |
CN109637127B (zh) * | 2018-12-06 | 2021-08-24 | 北京掌行通信息技术有限公司 | 一种信号灯近似时长的确定方法及系统 |
DE102019215095A1 (de) | 2019-10-01 | 2021-04-01 | Volkswagen Aktiengesellschaft | Gütebestimmungsverfahren, Gütebestimmungsvorrichtung, Kraftfahrzeug |
DE102019218903A1 (de) * | 2019-12-04 | 2021-06-10 | Siemens Mobility GmbH | Verfahren und Anordnung zur Vorhersage von Schaltzeitpunkten einer Signalgruppe einer Signalanlage zur Steuerung eines Verkehrsflusses |
CN113240925B (zh) * | 2021-04-21 | 2022-02-25 | 郑州大学 | 一种考虑交叉口信号灯随机延误影响的出行路径确定方法 |
CN114613171B (zh) * | 2022-01-21 | 2023-08-18 | 北京佰才邦技术股份有限公司 | 信号灯状态信息确定方法、电子设备和存储介质 |
CN114758495B (zh) * | 2022-03-29 | 2024-02-06 | 北京百度网讯科技有限公司 | 交通信号灯调整方法、装置及电子设备 |
Family Cites Families (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3646605B2 (ja) * | 2000-02-23 | 2005-05-11 | 株式会社日立製作所 | 車両走行制御装置 |
US20050197889A1 (en) * | 2004-02-11 | 2005-09-08 | Sigma Dynamics, Inc. | Method and apparatus for comparison over time of prediction model characteristics |
FR2890774B1 (fr) * | 2005-09-09 | 2007-11-16 | Inst Nat Rech Inf Automat | Procede d'assitance a la conduite d'un vehicule et dispositif associe ameliore |
US20110037619A1 (en) * | 2009-08-11 | 2011-02-17 | On Time Systems, Inc. | Traffic Routing Using Intelligent Traffic Signals, GPS and Mobile Data Devices |
DE102008041752A1 (de) * | 2008-09-02 | 2010-03-04 | Robert Bosch Gmbh | Verfahren zum Festlegen einer Empfangsschwelle, Vorrichtung zum Festlegen einer Empfangsschwelle, Ultraschallsonar |
US8478500B1 (en) | 2009-09-01 | 2013-07-02 | Clemson University | System and method for utilizing traffic signal information for improving fuel economy and reducing trip time |
CN102005120A (zh) * | 2010-11-22 | 2011-04-06 | 顾海松 | 基于视频图像分析的交通路口监控技术和系统 |
DE102011083677A1 (de) | 2011-09-29 | 2013-04-04 | Bayerische Motoren Werke Aktiengesellschaft | Prognose einer Verkehrssituation für ein Fahrzeug |
US8831849B2 (en) | 2012-02-13 | 2014-09-09 | Toyota Motor Engineering & Manufacturing North America, Inc. | System and method for traffic signal recognition |
US9002612B2 (en) | 2012-03-20 | 2015-04-07 | Toyota Motor Engineering & Manufacturing North America, Inc. | Prediction of driver-specific cruise speed using dynamic modeling |
KR101972089B1 (ko) | 2012-05-15 | 2019-04-24 | 엘지전자 주식회사 | 정보 제공 방법 및 그 장치 |
CN102708679B (zh) * | 2012-05-29 | 2016-12-14 | 孙健 | 一种城市信号交叉口短时交通流预测方法 |
US8793062B2 (en) * | 2012-11-06 | 2014-07-29 | Apple Inc. | Routing based on detected stops |
US8972145B2 (en) | 2013-03-15 | 2015-03-03 | Bayerische Motoren Werke Aktiengesellscahft | Systems and methods for predicting traffic signal information |
CN103198707B (zh) * | 2013-03-21 | 2016-03-02 | 东南大学 | 一种基于晴天状况下危险交通流特征的车辆调控方法 |
GB201312306D0 (en) * | 2013-07-09 | 2013-08-21 | Tomtom Software Ltd | Traffic light phase predictions and improved navigation methods using the traffic light phase predictions |
CN103500511B (zh) * | 2013-09-28 | 2015-09-30 | 长安大学 | 一种基于车联网的交叉口信号灯绿信比调节方法 |
US9183743B2 (en) | 2013-10-31 | 2015-11-10 | Bayerische Motoren Werke Aktiengesellschaft | Systems and methods for estimating traffic signal information |
CN104200649B (zh) * | 2014-08-25 | 2016-04-20 | 沈阳工业大学 | 基于预先申请的交通高峰期路线资源调度分配系统与方法 |
-
2015
- 2015-06-23 US US14/747,187 patent/US10495469B2/en not_active Expired - Fee Related
-
2016
- 2016-06-15 RU RU2016123642A patent/RU2016123642A/ru unknown
- 2016-06-21 DE DE102016111371.9A patent/DE102016111371A1/de not_active Withdrawn
- 2016-06-22 MX MX2016008333A patent/MX2016008333A/es unknown
- 2016-06-22 CN CN201610457884.2A patent/CN106295849B/zh active Active
- 2016-06-22 GB GB1610908.4A patent/GB2541511A/en not_active Withdrawn
Also Published As
Publication number | Publication date |
---|---|
CN106295849B (zh) | 2022-12-02 |
US20160379126A1 (en) | 2016-12-29 |
CN106295849A (zh) | 2017-01-04 |
GB2541511A (en) | 2017-02-22 |
US10495469B2 (en) | 2019-12-03 |
DE102016111371A1 (de) | 2016-12-29 |
RU2016123642A (ru) | 2017-12-18 |
GB201610908D0 (en) | 2016-08-03 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
MX2016008333A (es) | Estimacion rapida de parametro de trafico. | |
MX346779B (es) | Control para modo semiautonomo. | |
CA2961145C (en) | Casing wear prediction using integrated physics-driven and data-driven models | |
MX2018003823A (es) | Dispositivo de presentacion de informacion y metodo de presentacion de informacion. | |
WO2015196133A3 (en) | Energy infrastructure sensor data rectification using regression models | |
MX371169B (es) | Predicción de múltiples en datos de levantamiento. | |
MY179952A (en) | Graph generating device, graph generating method and graph generating program | |
GB2539602A (en) | Unified modeling of technology towers | |
MX2015015013A (es) | Un metodo de prediccion de la operacion futura de un vehiculo. | |
WO2014139040A3 (en) | Radiation therapy planning using integrated model | |
GB201217271D0 (en) | Traffic sensor management | |
EA038089B8 (ru) | Система и способ планирования площадки для транспортных средств | |
IN2014DE01352A (es) | ||
WO2015107156A3 (de) | Verfahren zur herstellung von arylpropenen | |
GB2540310A (en) | Employing a target risk attribute predictor while drilling | |
MX2015015602A (es) | Metodo para programar un episodio de diagnostico. | |
WO2015011661A3 (en) | Device and method for optimising the movement of automated-guided vehicles | |
MX2015015151A (es) | Metodo para producir 4-hidroxi-4-metil-tetrahidropiranos 2-sustituidos, donde dicho proceso usa reciclado. | |
MX2016013408A (es) | Metodo para proporcionar alerta. | |
MX2014015061A (es) | Monitoreo de las funciones de un vehículo. | |
EP3540731A3 (en) | Pitch lag estimation | |
BR112017007271A2 (pt) | métodos para operar um dispositivo sem fio e um nó de rede em uma rede de comunicação sem fio, dispositivo sem fio, nó de rede, produto de programa, e, mídia portadora. | |
PL406971A1 (pl) | Sposób analizy zachowania osób w inteligentnym systemie monitorowania oraz inteligentny system monitorowania | |
MX2017003534A (es) | Parte estructural de vehiculo automotriz y metodo de produccion de la misma. | |
GB2516192A (en) | Statistical Analysis Using Graphics Processing Unit |