TW201614607A - Arrival time prediction system and method - Google Patents

Arrival time prediction system and method

Info

Publication number
TW201614607A
TW201614607A TW103134687A TW103134687A TW201614607A TW 201614607 A TW201614607 A TW 201614607A TW 103134687 A TW103134687 A TW 103134687A TW 103134687 A TW103134687 A TW 103134687A TW 201614607 A TW201614607 A TW 201614607A
Authority
TW
Taiwan
Prior art keywords
vehicle
arrival
mounted mobile
mobile equipment
information
Prior art date
Application number
TW103134687A
Other languages
Chinese (zh)
Other versions
TWI522974B (en
Inventor
Chi-Hua Chen
Ching-Yun Pang
Chia-Min Hsieh
Da-Sheng Guan
Original Assignee
Chunghwa Telecom Co Ltd
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
Application filed by Chunghwa Telecom Co Ltd filed Critical Chunghwa Telecom Co Ltd
Priority to TW103134687A priority Critical patent/TWI522974B/en
Priority to CN201510094269.5A priority patent/CN104715630B/en
Priority to CN201610472352.6A priority patent/CN106022541B/en
Application granted granted Critical
Publication of TWI522974B publication Critical patent/TWI522974B/en
Publication of TW201614607A publication Critical patent/TW201614607A/en

Links

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
    • 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
    • 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
    • G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
    • G08G1/127—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams to a central station ; Indicators in a central station

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Theoretical Computer Science (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Traffic Control Systems (AREA)
  • Navigation (AREA)
  • Train Traffic Observation, Control, And Security (AREA)

Abstract

An arrival time prediction system and method based on random-type neural network groups is provided. Locating information (longitude and latitude coordinates) is periodically obtained by vehicle-mounted mobile equipment, comparison is carried out with site information (a polygonal or round region) in the vehicle-mounted mobile equipment to determine if the equipment arrives at or leaves a station, and arrival or leaving information and timing are reported back to a cloud server. The cloud server is responsible for collecting the arrival or leaving information reported by the vehicle-mounted mobile equipment and analyzing travelling time among the stations, storing the data into a cloud database server, and aggregating the travel time data so as to train parameter values of a random-type neural network group algorithm.
TW103134687A 2014-10-06 2014-10-06 Arrival time prediction system and method TWI522974B (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
TW103134687A TWI522974B (en) 2014-10-06 2014-10-06 Arrival time prediction system and method
CN201510094269.5A CN104715630B (en) 2014-10-06 2015-03-03 Arrival time prediction system and method
CN201610472352.6A CN106022541B (en) 2014-10-06 2015-03-03 Arrival time prediction method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
TW103134687A TWI522974B (en) 2014-10-06 2014-10-06 Arrival time prediction system and method

Publications (2)

Publication Number Publication Date
TWI522974B TWI522974B (en) 2016-02-21
TW201614607A true TW201614607A (en) 2016-04-16

Family

ID=53414915

Family Applications (1)

Application Number Title Priority Date Filing Date
TW103134687A TWI522974B (en) 2014-10-06 2014-10-06 Arrival time prediction system and method

Country Status (2)

Country Link
CN (2) CN104715630B (en)
TW (1) TWI522974B (en)

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CN105679021B (en) * 2016-02-02 2018-11-06 招商局重庆交通科研设计院有限公司 Journey time fusion forecasting and querying method based on traffic big data
CN105513362B (en) * 2016-02-03 2017-11-03 东南大学 A kind of bus platform adjacent area bus running state evaluation verification method
CN105489051A (en) * 2016-02-15 2016-04-13 青岛海信电器股份有限公司 Bus station arrival prompting method, mobile terminal and cloud server
SG11201811659PA (en) * 2017-04-27 2019-01-30 Beijing Didi Infinity Technology & Development Co Ltd Systems and methods for determining an estimated time of arrival
WO2018227368A1 (en) * 2017-06-13 2018-12-20 Beijing Didi Infinity Technology And Development Co., Ltd. Systems and methods for recommending an estimated time of arrival
CN109791731B (en) 2017-06-22 2021-12-07 北京嘀嘀无限科技发展有限公司 Method and system for estimating arrival time
US11536582B2 (en) 2017-08-10 2022-12-27 Beijing Didi Infinity Technology And Development Co., Ltd. System and method for estimating travel time and distance
JP6804792B2 (en) * 2017-11-23 2020-12-23 ベイジン ディディ インフィニティ テクノロジー アンド ディベロップメント カンパニー リミティッド Systems and methods for estimating arrival time
CN110361019B (en) * 2018-04-11 2022-01-11 北京搜狗科技发展有限公司 Method, device, electronic equipment and readable medium for predicting navigation time
CN109002722B (en) * 2018-07-19 2021-06-29 郑州云海信息技术有限公司 Method and system for estimating vulnerability scanning remaining time
CN109410580A (en) * 2018-11-15 2019-03-01 山东管理学院 A kind of real-time arrival time prediction technique of public transport and system
CN109920248B (en) * 2019-03-05 2021-09-17 南通大学 Bus arrival time prediction method based on GRU neural network
CN110459056A (en) * 2019-08-26 2019-11-15 南通大学 A kind of public transport arrival time prediction technique based on LSTM neural network
CN111667689B (en) * 2020-05-06 2022-06-03 浙江师范大学 Method, device and computer device for predicting vehicle travel time
US20220051115A1 (en) * 2020-08-12 2022-02-17 Allstate Insurance Company Control Platform Using Machine Learning for Remote Mobile Device Wake Up
CN113706874B (en) * 2021-10-28 2022-01-28 华清科盛(北京)信息技术有限公司 Method and device for predicting arrival time of logistics vehicles in factory in real time and electronic equipment

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CN101630376B (en) * 2009-08-12 2012-06-20 江苏大学 Soft-sensing modeling method and soft meter of multi-model neural network in biological fermentation process
CN102081859B (en) * 2009-11-26 2014-10-01 上海遥薇(集团)有限公司 Control method of bus arrival time prediction model
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CN102708701B (en) * 2012-05-18 2015-01-28 中国科学院信息工程研究所 System and method for predicting arrival time of buses in real time
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Also Published As

Publication number Publication date
CN106022541A (en) 2016-10-12
TWI522974B (en) 2016-02-21
CN104715630B (en) 2017-05-10
CN104715630A (en) 2015-06-17
CN106022541B (en) 2020-12-01

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