TWI807180B - 人格分析方法、人格分析裝置、使用人格資料之資訊處理方法及使用人格資料之資訊處理裝置 - Google Patents

人格分析方法、人格分析裝置、使用人格資料之資訊處理方法及使用人格資料之資訊處理裝置 Download PDF

Info

Publication number
TWI807180B
TWI807180B TW109111401A TW109111401A TWI807180B TW I807180 B TWI807180 B TW I807180B TW 109111401 A TW109111401 A TW 109111401A TW 109111401 A TW109111401 A TW 109111401A TW I807180 B TWI807180 B TW I807180B
Authority
TW
Taiwan
Prior art keywords
data
personality
analysis
driving
vehicle
Prior art date
Application number
TW109111401A
Other languages
English (en)
Chinese (zh)
Other versions
TW202038175A (zh
Inventor
森島圭祐
磯部謙作
中尾浩
梅澤佑輔
木邨裕章
Original Assignee
日商山葉發動機股份有限公司
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 日商山葉發動機股份有限公司 filed Critical 日商山葉發動機股份有限公司
Publication of TW202038175A publication Critical patent/TW202038175A/zh
Application granted granted Critical
Publication of TWI807180B publication Critical patent/TWI807180B/zh

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B60W40/09Driving style or behaviour
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • General Health & Medical Sciences (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Mathematical Physics (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Traffic Control Systems (AREA)
TW109111401A 2019-04-01 2020-04-01 人格分析方法、人格分析裝置、使用人格資料之資訊處理方法及使用人格資料之資訊處理裝置 TWI807180B (zh)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
PCT/JP2019/014557 WO2020202450A1 (ja) 2019-04-01 2019-04-01 パーソナリティ分析方法、パーソナリティ分析装置、パーソナリティデータを用いる情報処理方法及びパーソナリティデータを用いる情報処理装置
WOPCT/JP2019/014557 2019-04-01
PCT/JP2020/015102 WO2020204104A1 (ja) 2019-04-01 2020-04-01 パーソナリティ分析方法、パーソナリティ分析装置、パーソナリティデータを用いる情報処理方法及びパーソナリティデータを用いる情報処理装置
WOPCT/JP2020/015102 2020-04-01

Publications (2)

Publication Number Publication Date
TW202038175A TW202038175A (zh) 2020-10-16
TWI807180B true TWI807180B (zh) 2023-07-01

Family

ID=72666204

Family Applications (1)

Application Number Title Priority Date Filing Date
TW109111401A TWI807180B (zh) 2019-04-01 2020-04-01 人格分析方法、人格分析裝置、使用人格資料之資訊處理方法及使用人格資料之資訊處理裝置

Country Status (3)

Country Link
JP (1) JP7280945B2 (ja)
TW (1) TWI807180B (ja)
WO (2) WO2020202450A1 (ja)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2015143936A (ja) * 2014-01-31 2015-08-06 三菱電機株式会社 車両用運転支援装置、サーバ、車両運転支援システム、および、車両用運転支援プログラム
WO2018096688A1 (ja) * 2016-11-28 2018-05-31 本田技研工業株式会社 運転支援装置、運転支援システム、プログラム及び運転支援装置の制御方法
JP2018124791A (ja) * 2017-01-31 2018-08-09 本田技研工業株式会社 情報提供システム
JP2018169705A (ja) * 2017-03-29 2018-11-01 マツダ株式会社 車両運転支援システム及び車両運転支援方法
TWI646490B (zh) * 2017-09-01 2019-01-01 元智大學 基於多核學習的駕駛風險評估方法及其處理裝置

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014046820A (ja) * 2012-08-31 2014-03-17 Nissan Motor Co Ltd 運転者特性推定装置
JP6379510B2 (ja) * 2014-02-18 2018-08-29 日産自動車株式会社 運転診断装置および保険料算定方法
EP3525141B1 (en) * 2016-11-16 2021-03-24 Honda Motor Co., Ltd. Emotion inference device and emotion inference system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2015143936A (ja) * 2014-01-31 2015-08-06 三菱電機株式会社 車両用運転支援装置、サーバ、車両運転支援システム、および、車両用運転支援プログラム
WO2018096688A1 (ja) * 2016-11-28 2018-05-31 本田技研工業株式会社 運転支援装置、運転支援システム、プログラム及び運転支援装置の制御方法
JP2018124791A (ja) * 2017-01-31 2018-08-09 本田技研工業株式会社 情報提供システム
JP2018169705A (ja) * 2017-03-29 2018-11-01 マツダ株式会社 車両運転支援システム及び車両運転支援方法
TWI646490B (zh) * 2017-09-01 2019-01-01 元智大學 基於多核學習的駕駛風險評估方法及其處理裝置

Also Published As

Publication number Publication date
WO2020202450A1 (ja) 2020-10-08
JP7280945B2 (ja) 2023-05-24
JPWO2020204104A1 (ja) 2020-10-08
TW202038175A (zh) 2020-10-16
WO2020204104A1 (ja) 2020-10-08

Similar Documents

Publication Publication Date Title
Ryder et al. Preventing traffic accidents with in-vehicle decision support systems-The impact of accident hotspot warnings on driver behaviour
Farooq et al. Virtual immersive reality for stated preference travel behavior experiments: A case study of autonomous vehicles on urban roads
Mantouka et al. Smartphone sensing for understanding driving behavior: Current practice and challenges
Li et al. Estimation of driving style in naturalistic highway traffic using maneuver transition probabilities
Wang et al. How much data are enough? A statistical approach with case study on longitudinal driving behavior
Lois et al. The relationship between instrumental, symbolic and affective factors as predictors of car use: A structural equation modeling approach
Saunier et al. Large-scale automated analysis of vehicle interactions and collisions
van Nes et al. The potential of naturalistic driving for in-depth understanding of driver behavior: UDRIVE results and beyond
Gadsby et al. Instrumented bikes and their use in studies on transportation behaviour, safety, and maintenance
CN106796610A (zh) 信息提示装置、方法和计算机程序产品
JP6513913B2 (ja) 情報提示装置、方法及びプログラム
Balsa-Barreiro et al. Extraction of naturalistic driving patterns with geographic information systems
Bao et al. Personalized subjective driving risk: Analysis and prediction
Ibrahim et al. Cycling near misses: a review of the current methods, challenges and the potential of an AI-embedded system
Abdulwahid et al. A comprehensive review on the behaviour of motorcyclists: Motivations, issues, challenges, substantial analysis and recommendations
TWI762899B (zh) 顧客價值觀分析方法、顧客價值觀分析裝置、使用價值觀資料之資訊處理方法及使用價值觀資料之資訊處理裝置
Sourelli et al. Objective and perceived risk in overtaking: The impact of driving context
Monselise et al. Identifying important risk factors associated with vehicle injuries using driving behavior data and predictive analytics
Rashmi et al. Factors affecting truck driver behavior on a road safety context: A critical systematic review of the evidence
TWI807180B (zh) 人格分析方法、人格分析裝置、使用人格資料之資訊處理方法及使用人格資料之資訊處理裝置
Wu et al. Towards human-vehicle interaction: Driving risk analysis under different driver vigilance states and driving risk detection method
JP2004341719A (ja) 客観的顧客満足度評価システム及びその方法
Cojocaru et al. Driver Behaviour Analysis based on Deep Learning Algorithms.
Tonguç et al. Improvement of the visual warning system for various driving and road conditions in road transportation
Abdel-Aty et al. Investigating the Effects of Pedestrian-to-Vehicle Human–Machine Interface Design Using Driving Simulator Experiment