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市場調查報告書

智慧型行動的未來與對交通的影響

The Future of Intelligent Mobility and its Impact on Transportation

出版商 Frost & Sullivan 商品編碼 331366
出版日期 內容資訊 英文 83 Pages
商品交期: 最快1-2個工作天內
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智慧型行動的未來與對交通的影響 The Future of Intelligent Mobility and its Impact on Transportation
出版日期: 2015年05月26日 內容資訊: 英文 83 Pages
簡介

本報告提供智慧型行動的必要性調查分析,提供您定義和概要,應用和使用案例,主要地區,引進的課題,技術趨勢與演進,OEM的配合措施與方法,未來發展預測相關的系統性資訊。

第1章 摘要整理

第2章 調查範圍·對象·目的·手法

第3章 定義和概要

  • 定義
  • 商務案例
  • 智慧型行動
  • 匯流
  • 行動的強化

第4章 智慧型行動的應用和使用案例

  • 個人·共享的智慧型汽車
  • 結合個人·共享的行動方式
  • 智慧型行動在智慧導航上的應用
  • 遊戲化的適用
  • 智慧型行動的智慧型駕駛警告
  • 智慧型行動的應用和使用案例概要

第5章 主要3個地區的智慧型行動預測:歐洲,北美,日本

  • 主要3個地區
  • 日本
  • 歐洲
  • 北美
  • 概要

第6章 智慧型行動引進的課題

  • 缺乏相關人員間的合作
  • 產品責任和系統的可靠性
  • 缺乏法律規範和標準化的透明度
  • 為了解決智慧型行動的課題,AI的必要性
  • 法規和產業課題概要

第7章 技術趨勢與演進

  • 自動駕駛
  • 汽車感測器比較分析
  • V2v·V2I
  • 發展藍圖
  • 學習研究
  • 功能藍圖
  • 技術趨勢概要

第8章 OEM活動

  • 概要
  • 案例研究:Audi
  • 案例研究:Daimler
  • 案例研究:Ford
  • 案例研究:Jaguar
  • 案例研究:Tesla
  • 案例研究:豐田
  • 案例研究:Volvo

第9章 結論與未來發展預測

第10章 附錄

目錄
Product Code: MAF4-01-00-00-00

Beyond Automated Driving-Congestion Cut by 25% and Pollution 15% by 2035

While cooperative-driving (V2X-based) is a dependency-based model and automated driving (sensor-based) is a self-sufficient model, these roads converge and complement, thereby leading to intelligent mobility. Moreover, intelligent mobility integrates automated, connected driving with new mobility business models, helping to reduce fatalities, traffic congestion, and per capita carbon footprint. This study outlines the need for intelligent mobility, an ideology that drives people from origin to destination, yet reduces traffic congestion, pollution, and road fatalities by leveraging state-of-the-art automotive technologies. The 3 key regions covered are Europe, North America, and Japan. The study period is 2015 to 2035.

Key Questions this Study will Answer

  • How does intelligent mobility impact the traditional transportation ecosystem and the dynamics of allied industries?
  • What is the role of key stakeholders in the intelligent mobility space?
  • How do key regions of the world envision intelligent mobility and what are the commonalities and differences between their approaches?
  • What are the major original equipment manufacturers' (OEMs) initiatives and approaches that address the various pillars of intelligent mobility?
  • What is the quantifiable parametric impact of intelligent mobility on the future of intelligent mobility?

Table of Contents

1. EXECUTIVE SUMMARY

Executive Summary

  • 1. 5 Key Tangible Benefits of Intelligent Mobility
  • 2. Intelligent Mobility-An Emerging Concept that Revolutionizes Mobility
  • 3. Intelligent Mobility-A Multi-faceted Sustainable Solution
  • 4. Impacts of Intelligent Mobility
  • 5. Key Findings and Future Outlook
  • 6. Executive Summary-Associated Multimedia

2. RESEARCH SCOPE, OBJECTIVES, BACKGROUND, AND METHODOLOGY

Research Scope, Objectives, Background, and Methodology

  • 1. Research Scope
  • 2. Research Aims and Objectives
  • 3. Key Questions this Study will Answer
  • 4. Research Background
  • 5. Research Methodology
  • 6. Key Participant Groups Compared in this Study

3. DEFINITIONS AND OVERVIEW

Definitions and Overview

  • 1. Detailed Definition of the 3 Key Pillars
  • 2. Business Case for Intelligent Mobility
  • 3. Building Blocks of Intelligent Mobility
  • 4. Intelligent Mobility-Key Stakeholders of Operation
  • 5. Intelligent Mobility-Key Technology Enablers
  • 6. Intelligent Mobility-OEMs' Competencies Compared with Disruptors
  • 7. Intelligent Mobility Value Stream
  • 8. Intelligent Mobility-Ecosystem Stakeholder Imperatives
  • 9. Convergence of Intelligence, Connectivity, and Mobility
  • 10. Enhanced Mobility-Free-flowing Traffic Every Mile
  • 11. Enhancing Electric Miles Covered by Vehicle
  • 12. Enhancing Safety-Achieving the Zero-fatalities Goal

4. APPLICATIONS AND USE CASES OF INTELLIGENT MOBILITY

Applications and Use Cases of Intelligent Mobility

  • 1. Intelligent Vehicles for Personal and Shared Use
  • 2. Merging of Personal and Shared Mobility Modes
  • 3. Application of Smart Navigation in Intelligent Mobility
  • 4. Applying Gamification to Leverage Normative Driving Behavior
  • 5. Gamification-Leveraging Crowd Sourced Network
  • 6. Intelligent Driver Alerts for Intelligent Mobility
  • 7. Summary of Application and Use Cases of Intelligent Mobility

5. INTELLIGENT MOBILITY OUTLOOK FROM 3 KEY REGIONS: EUROPE, NORTH AMERICA, AND JAPAN

Intelligent Mobility Outlook from 3 Key Regions: Europe, North America, and Japan

  • 1. Interpretation of Intelligent Mobility from 3 Key Regions
  • 2. Japanese Vision of Intelligent Mobility
  • 3. European Vision of Intelligent Mobility
  • 4. North American Vision of Intelligent Mobility
  • 5. Intelligent Mobility-A Summary of 3 Key Regions

6. CHALLENGES IN INTELLIGENT MOBILITY IMPLEMENTATION

Challenges in Intelligent Mobility Implementation

  • 1. Lack of Collaboration Among Intelligent Mobility Stakeholders
  • 2. Product Liability and System Reliability
  • 3. Lack of Clarity in Regulatory Framework and Standardisation
  • 4. The Need for AI to Address Challenges Ahead of Intelligent Mobility
  • 5. Summary of Legislative and Industry Challenges

7. TECHNOLOGY TRENDS AND EVOLUTION

Technology Trends and Evolution

  • 1. Automated Driving-Application Road Map
  • 2. Comparative Analysis of Various Automotive Sensors
  • 3. V2V and V2I: Enablers of Automated Driving
  • 4. Intelligent Mobility: Deployment Road Map
  • 5. True Type Learning Algorithm Based Self-learning Car
  • 6. Functional Road Map Leading to Intelligent Mobility
  • 7. Summary of Technological Trends

8. OEM ACTIVITY

OEM Activity

  • 1. Intelligent Mobility-Summary of OEM Activity
  • 2. Case Study 1: Audi's Approach to Intelligent Mobility
  • 3. Case Study 1: Audi's Approach to Intelligent Mobility (continued)
  • 4. Case Study 2: Daimler's Approach to Intelligent Mobility
  • 5. Case Study 2: Daimler's Approach to Intelligent Mobility (continued)
  • 6. Case Study 3: Ford's Approach to Intelligent Mobility
  • 7. Case Study 3: Ford's Approach to Intelligent Mobility (continued)
  • 8. Case Study 4: Jaguar Land Rover's Vision of Self Learning Car
  • 9. Case Study 4: Jaguar Land Rover's Vision of Self Learning Car (continued)
  • 10. Case Study 5: Tesla's Approach to Intelligent Mobility
  • 11. Case Study 5: Tesla's Approach to Intelligent Mobility (continued)
  • 12. Case Study 6: Toyota's Approach to Intelligent Mobility
  • 13. Case Study 6: Toyota's Approach to Intelligent Mobility (continued)
  • 14. Case Study 7: Volvo's Approach to Intelligent Mobility
  • 15. Case Study 7: Volvo's Approach to Intelligent Mobility (continued)

9. CONCLUSIONS AND FUTURE OUTLOOK

Conclusions and Future Outlook

  • 1. Key Conclusions and Future Outlook
  • 2. The Last Word-3 Big Predictions
  • 3. Legal Disclaimer

10. APPENDIX

Appendix

  • 1. Overview of Cooperative and Autonomous Driving
  • 2. Learn More-Next Steps
  • 3. Research Background
  • 4. Relevant Research
  • 5. Methodology
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