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The Future of Intelligent Mobility and its Impact on Transportation

The Future of Intelligent Mobility and its Impact on Transportation

5 Key Tangible Benefits of Intelligent Mobility Intelligent mobility builds on the foundation of intelligent transportation to address 􂀀 key goals of the automotive industry: Save lives, save the environment, and reduce commuting effort.

Intelligent Mobility Market: Key Benefits, Global, 2015–2035

A paradigm shift to a new normal introduces the subscription and user model of accessing vehicles that will coexist alongside the traditional sales and ownership model of possessing vehicles, thereby enabling mobility-on-demand solutions for every commuting need.

The future mobility ecosystem will draw inspiration from the smartphone business model, which is strongly user-interface oriented and service-driven, thereby rendering car ownership an option particular to consumers for which a vehicle is a prized possession.

Intelligent mobility holds potential to achieve up to 􂀀% crash reduction using effective incident management and by means of enhanced collision avoidance.

Emergence of new mobility modes like ride sharing/car sharing and rapid transits can offer up to 􂀀% travel time reduction in major cities while also slashing mobility spending by up to $􂀀billion.

Fuel saving potential in an intelligent mobility network is likely to be catapulted by an increase in average travel speed and better optimization of traffic flow. The combined effects of which are likely to supplement an average reduction in travel stops by 􂀀% and an overall 􂀀% CO2 reduction.

About this report

Fuel saving potential in an intelligent mobility network is likely to be catapulted by an increase in average travel speed and better optimization of traffic flow. The combined effects of which are likely to supplement an average reduction in travel stops by 􂀀% and an overall 􂀀% CO2 reduction.


  • Executive Summary
    • 5 Key Tangible Benefits of Intelligent Mobility
    • Intelligent Mobility-An Emerging Concept that Revolutionizes Mobility
    • Intelligent Mobility-A Multi-faceted Sustainable Solution
    • Impacts of Intelligent Mobility
    • Key Findings and Future Outlook
    • Executive Summary-Associated Multimedia
  • Research Scope, Objectives, Background, and Methodology
    • Research Scope
    • Research Aims and Objectives
    • Key Questions this Study will Answer
    • Research Background
    • Research Methodology
    • Key Participant Groups Compared in this Study
  • Definitions and Overview
    • Detailed Definition of the 3 Key Pillars
    • Business Case for Intelligent Mobility
    • Building Blocks of Intelligent Mobility
    • Intelligent Mobility-Key Stakeholders of Operation
    • Intelligent Mobility-Key Technology Enablers
    • Intelligent Mobility-OEMs' Competencies Compared with Disruptors
    • Intelligent Mobility Value Stream
    • Intelligent Mobility-Ecosystem Stakeholder Imperatives
    • Convergence of Intelligence, Connectivity, and Mobility
    • Enhanced Mobility-Free-flowing Traffic Every Mile
    • Enhancing Electric Miles Covered by Vehicle
    • Enhancing Safety-Achieving the Zero-fatalities Goal
  • Applications and Use Cases of Intelligent Mobility
    • Intelligent Vehicles for Personal and Shared Use
    • Merging of Personal and Shared Mobility Modes
    • Application of Smart Navigation in Intelligent Mobility
    • Applying Gamification to Leverage Normative Driving Behavior
    • Gamification-Leveraging Crowd Sourced Network
    • Intelligent Driver Alerts for Intelligent Mobility
    • Summary of Application and Use Cases of Intelligent Mobility
  • Intelligent Mobility Outlook from 3 Key Regions: Europe, North America, and Japan
    • Interpretation of Intelligent Mobility from 3 Key Regions
    • Japanese Vision of Intelligent Mobility
    • European Vision of Intelligent Mobility
    • North American Vision of Intelligent Mobility
    • Intelligent Mobility-A Summary of 3 Key Regions
  • Challenges in Intelligent Mobility Implementation
    • Lack of Collaboration Among Intelligent Mobility Stakeholders
    • Product Liability and System Reliability
    • Lack of Clarity in Regulatory Framework and Standardisation
    • The Need for AI to Address Challenges Ahead of Intelligent Mobility
    • Summary of Legislative and Industry Challenges
  • Technology Trends and Evolution
    • Automated Driving-Application Road Map
    • Comparative Analysis of Various Automotive Sensors
    • V2V and V2I: Enablers of Automated Driving
    • Intelligent Mobility: Deployment Road Map
    • True Type Learning Algorithm Based Self-learning Car
    • Functional Road Map Leading to Intelligent Mobility
    • Summary of Technological Trends
  • OEM Activity
    • Intelligent Mobility-Summary of OEM Activity
    • Audi's Approach to Intelligent Mobility (continued)
    • Daimler's Approach to Intelligent Mobility
    • Ford's Approach to Intelligent Mobility
    • Jaguar Land Rover's Vision of Self Learning Car
    • Tesla's Approach to Intelligent Mobility
    • Toyota's Approach to Intelligent Mobility
    • Volvo's Approach to Intelligent Mobility
  • Conclusions and Future Outlook
    • Key Conclusions and Future Outlook
    • The Last Word-3 Big Predictions
  • Appendix
    • Overview of Cooperative and Autonomous Driving
    • Research Background
    • Relevant Research
    • Market Engineering Methodology

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