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We have developed system solutions that show how to expedite the flow of mass transit vehicles (such as buses, etc.) during rush hours.

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During rush hours, most major cities experience an increasing amount traffic congestion. So, people who have to use buses to go to work or to go back home have to suffer exacerbated delays during their commutes. Since a significant portion of the urban population uses such mass transit vehicles, it would be really cool if the traffic management differentiates buses and other mass transit vehicles during rush hours since these vehicles typically carry 40-50 people during rush hours to work, school, etc. So, such a solution would benefit a significant portion of the commuters. We have designed such a system solution based on distributed AI, V2X, and Cloud services. We have already demonstrated our solution publicly with 2 Pilot Projects in 2018 and 2019.

Describe who will use your solution (1,000 characters)

Larger portions of the urban population (workers, students, professionals, etc.)

Describe your solution's stage of development

  • Fully Scaled - you have already scaled your solution and are exploring new use cases

Insights from previous testing (500 characters)

Our solution works like a charm and it is a very cost-effective solution since it can use smart phones which are pervasive in the society and the Cloud services. Our solution can also work with the DSRC technology (802.11p).

Tell us about your team or organization (500 characters)

Our website is: Our Leadership Team consists of 2 CMU professors, a seasoned business professional, and 2 CMU PhDs with significant industry experience. We also have a world-class team of about 15 engineers who are alums of prestigious places like CMU, MIT, EPFL, and ETH Zurich.

Size of your team or organization

  • 11-50

Funding Request

  • $50,000

Rough Budget (500 characters)

Equipment, hardware, and software: $ 30,000 Labor: $ 15,000 Media Coverage: $ 5,000

Describe how you would pilot your idea (1000 characters)

We are a CMU startup with Series-A investment. We already have custoners and products and services that were showcased publicly in 2018 and 2019 (see, e.g., the Cover Story of the October 2018 issue of IEEE Spectrum Magazine). Using some of the investment we already have and the $ 50 K we will get (if selected by Ford), we plan to put together an impressive pilot which demonstrates how at several intersections, buses can get priority, thus reducing the commute time of people using mass transit.

Describe how you would measure the success of your pilot (1000 characters)

Suppose we choose a road segment in Indianapolis with 30 intersections. We will measure how much time it takes for 2 or 3 buses to cross these 30 intersections under today's traffic management. Then, we will show the reduction in commute time experienced when these signalized intersections and buses use our Virtual Traffic Lights technolgy. If in the former case it takes 1 hour (60 min) to cross these 30 intersections during morning rush hour but with our VTL technology it takes only 40 min, then the benefit will be 33.3%.

Sustainability Plan (500 characters)

YES, it can be sustained after the pilot period ends. We have commercial products and services already. These products and services will generate sufficient revenues for continued implementation.


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