TrafficGenius

TrafficGenius

Solving a city’s traffic problems.

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Security Type
Common Stock
Categories
Transportation & Storage
Min Investment
$99
Location
Chicago, IL
Offering Date
January 28, 2021
Expected Close Date
March 29, 2021
Target Raise
$10.00K-$1.07M
Deal Notes

Price per Share: $1.00

Valuation
$8,000,000

Company Description

Like sitting in traffic? Neither do we, and we can fix that. TrafficGenius uses machine learning to optimize the timing of traffic signals along the path of greatest volume.

TrafficGenius uses machine learning to optimize the timing of traffic signals along the path of greatest volume. The idea of decreasing congestion by prolonging the green light through popular intersections is not a novel idea. A viable solution is more complex than extending a green light signal. Traffic flow is a dynamic process. When the timing of one light changes, it causes a ripple effect. TrafficGenius uses data from all the intersections across the city to compute the optimal timing for each light.

Key Deal Facts

Hired two advisors who understand the complexity of traffic management and startup companies
Minimum viable product (MVP) of our algorithm using open source traffic data. This was a large undertaking, between the development data search, and validation.
Initial results show extending the green portion of a light by 30 seconds increases average through speed by 15%.
Working on potential partnership with a traffic hardware company (non-disclosure agreement signed)
In talks with a traffic light manufacturer in Asia.

Use of Proceeds

  • Compensation for managers
  • Head of Algorithms (Lead Developer to work with me)
  • Jr. Algorithm Developer / App iOS Developer
  • Sr. Government Development (Sales)
  • Security Cyber Specialist
  • Integration Specialist
  • Business Development
  • Computers for Employees
  • AWS computational costLawyers Fee (patient filing / government contracts)
  • Payroll Taxes
  • Travel for Sales (post-COVID)
  • iOS / android developer
  • Marketing
  • Intermediary fees

Management Team / Advisory Board Bios

Scott Murdoch, PhD
CEO/ Founder
Scott has been a data scientist for over 10 years, and holds a PhD in economics. His passion is to use machine learning to solve real-world problems that will have an impact on society. He has experience in developing and deploying algorithms from a concept to production.

Deal Notes

Price per Share: $1.00

Amount Raised : $0
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Security Description

Common stock is a security that represents ownership in a corporation.

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