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Crowdsourced Driver Monitoring for Mapping High Collision Risk Locations

Monitors drivers for harsh braking, aggregates & clusters harsh braking locations across drivers as a risk display analytic

Photo of John Lindsay
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Hard braking is considered one of the most highly predictive variables for predicting future crashes. However, normally harsh braking is tied to individual drivers.  

This patented composite app has two parts. The front end app is a smartphone app which monitors drivers for harsh braking. When harsh braking occurs, the location is logged. Over time clusters of harsh braking may be observed on the map display, enabling individual drivers to change behavior at those locations. The back end is an anonymous, aggregate view of harsh braking events across the drivers who choose to contribute to the city. A searchable map display of those aggregate events is available to the city traffic engineer. Again, clusters of harsh braking may be observed for their attention, with higher frequency clusters drawing attention of the traffic engineer for possible corrective action. 

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

Individual drivers would be the users of the front end mobile app. Traffic engineers and Departments of Transportation would be the primary users of the back-end aggregate data.

Describe your solution's stage of development

  • Prototype - you have built a prototype and tested it with potential users

Tell us about your team or organization (500 characters)

John Lindsay - Inventor, founder, lead developer

Size of your team or organization

  • 2-10

Team or Organization URL

Funding Request

  • $100,000

Rough budget (500 characters)

~$50k - promotion of the mobile app to drivers within the municipality ~$50k - additional development, storage, and compute in response to pilot usage

Describe how you would pilot your idea (1000 characters)

The first phase of the pilot would be localized marketing of the app to drivers within the municipality. Once a threshold usage is reached, the dashboard screens would be provide to one or person within the municipality.

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

Key metrics are expect to be: Number of front-end app installations Frequency of front-end app use Number of harsh braking events measured Frequency of back-end usage by traffic engineers Number of hotspots targeted for further study or correction

Sustainability Plan (500 characters)

Yes. After a pilot period of feedback, usage, and features revisions/additions, the expect fee structure is monthly or annual fee to the municipality, with the hard money return on investment for a municipality would be a reduced frequency and man-hours of first responder deployments. Soft money return on investment for a municipality would be factors such as increased safety reputation.

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Photo of Ahmad Shreidi

Hey, I'm a contributions facilitator here with the Challenge. Thank you for your Proposal John! Keep the submissions coming we would love to keep hearing from you !

There is a networking event coming up at The Capitol Factory from 6:00 to 8:00! Hope to see you there! We strongly encourage you to come!

Register at the link below!