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Traffic Management Solutions for Mega Cities

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According to the UN, more than 50% of the world's population currently lives in cities with this number set to increase to 70% by 2050. So-called megacities are increasing in number too. In 1950, the UN counted just 2 megacities, whereas today, the number of megacities stands at 27. Strikingly, 20 of these are located in developing countries with many more soon-to-be megacities also located in emerging markets. Many of these countries exhibit economic growth that far exceeds that of the developed world. Levels of disposable income in emerging markets are therefore on the rise and consequently, so too is spending on luxury items, such as vehicles. As a result, traffic congestion is increasing and this is particularly troublesome in developing regions where the number of vehicles on the world's roadways continue to outstrip infrastructure expansion. As a result, governments and municipalities are increasingly looking at ways to better manage, monitor and control traffic flows. This report focuses on traffic management systems (TMS), and more specifically, the issue of how best to address transportation challenges in megacities throughout developing regions. To conclude the analysis, we take a look at various stakeholders in TMS how each is positioned to successfully meet the needs of emerging markets.

Table of Contents

  • 1. RAPIDLY GROWING MEGACITIES IN DEVELOPING REGIONS
  • 2. TRAFFIC CONGESTION AND HOW TO ADDRESS IT
    • 2.1. Economic Realities
    • 2.2. Health and Safety
    • 2.3. Environmental Issues
    • 2.4. What is a Traffic Management System?
    • 2.5. Increased TAM for TMS in Developing Cities
  • 3. EMBRACE THE SMART CITY IN ITS ENTIRETY
    • 3.1. Selected TMS Players
    • 3.2. ETC Vendors
    • 3.3. Smart City Vendors
    • 3.4. Cisco Systems and IBM Corporation
    • 3.5. Schneider Electric (Telvent)
    • 3.6. Others
    • 3.7. Segment-Specific Vendors
    • 3.8. Governments

Charts

  1. Population of World Megacities, 2012
  2. Transponder Shipments for Automatic Vehicle Identification, Worldwide Market, Forecast: 2011 to 2017