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The Future of Intelligent Mobility and its Impact on Transportation

  • May 2015
  • 83 pages
  • Frost & Sullivan
Report ID: 3007526

Summary

Table of Contents

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.

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.

1 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.

2 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.

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

4 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.

5 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.

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