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“Detection & Inclusion of Two-Wheelers into the Connected Car Ecosystem”

Ridar Systems is a cloud-based mobile solution that utilizes cellular technology to notify drivers of nearby riders, improving visibility and safety for all road users. It accelerates the inclusion of motorcyclists and bicyclists in connected car technology, promoting a safer and more integrated transportation ecosystem.

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“Detection & Inclusion of Two-Wheelers into the Connected Car Ecosystem”

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  1. “Detection & Inclusion of Two-Wheelers into the Connected Car Ecosystem”

  2. Problem Riders are not always visible to Drivers…

  3. Vision Zero Efforts • Multiple Stakeholders (Regulators, Legislature, Urban Planners, IoT Companies, Commuters). Others? • PublicInclusion: Outreach & Education • Enforcement of Road-Sharing: Initially teaching opportunities then enforcement. Thoughts? • Adaptation of Infrastructure/Streets to include ALL forms of mobility: How?

  4. Enhanced Vision Zero Efforts • Ridar Systems • Passive Safety • Driver UX to minimize notifications & distraction (verbal, visual, audible) • Headless unit for two-wheelers • Adoption • Utilize Metropolitan/City Vehicles/Drivers • Ability to monitor usage • Gather notification feedback • Insurance Discounts • Near-misses/ # of interactions • Adjust Notifications/minimize false-positives • Encourage Cyclists/Clubs to Participate • Anonymized User Data • Gamification • Collect data • Geofence Intersections of high accident rates • Near-misses/ # of interactions

  5. Application Solution “Ridar Systems is a cloud-based, mobile system that uses cellular technology to notify drivers of the proximity of nearby riders” Innovation Data Science Collect and analyze real world data on actual vehicle and motorcycle interactions Accelerates the inclusion of motorcyclists & bicyclists in the innovation of connected car technology Safety Improves visibility of riders to other vehicle beyond that of normal line-of-sight and sensor- based systems

  6. Stand-Alone/V2VAugmented Technology Standard near line-of-site ADAS Range: ~100m V2V/DSRC Range: ~300m Ridar Systems: 5 second rule Range: ~30m - ~500m (dependent upon speed/direction of both vehicles) “Ridar Systems can function as a standalone mobile solution using cloud-based cellular technology– a technology which is readily-available to all drivers & riders, no matter their mode of transportation. And, it is available now.”

  7. HowIt Works Ridar Systems captures the location, speed, and direction of travel for both drivers and riders using a cellular connection. This information flows to the cloud where our proprietary software calculates all of this data multiple times per second to determine the likelihood that the two are headed towards the same geographic location which may result in a collision. When it is determined that there is the potential for an interaction, a distinct voice will indicate to the driver where that rider is approaching (i.e. "Rider left”, “Rider ahead”, etc.). This first notification occurs when it is calculated that the rider is approximately 5 seconds from the driver’s location.

  8. Data Model

  9. TelemetryDelivery & Notifications Telemetry VRUs and non-VRUs both send the same telemetry payload to Ridar via MQTT messaging. MQTT topic is based on unique device identifier and trip mode (VRU vs. non-VRU) { “id”: <unique identifier for device>, “latitude”: <vehicle latitude in decimal degrees>, “longitude”: <vehicle longitude in decimal degrees>, “speed”: <vehicle speed in decimal km/hr>, “heading”: <vehicle heading relative to true north in decimal degrees>, “updateTime”: <telemetry timestamp in integer milliseconds since UNIX epoch> } Notifications Notifications are delivered to non-VRUs via subscription to MQTT topic or via mobile device push notification (implementation dependent) { "bearing": <bearing from non-VRU to VRU in decimal degrees>, "rangeKm": <range from non-VRU to VRU in decimal km>, "targetId": <unique identifier for VRU device used to filter redundant detections>, "notificationTime": <detection timestamp in integer milliseconds since UNIX epoch> }

  10. “Will Ride 4 Food”Cycling Event

  11. Capture of Data-Graphical Representation This data represents the number of times these riders sent data to the driver (1 time/second). We do collect a LOT of data through this effort—data that can be collected to alert drivers to the approach of riders.

  12. Management Team Thadd Selden Brent Massey CTO Visionary technologist with expertise in software management, software architecture, object-oriented design Rider – Triumph Bonneville CEO & Co-Founder Drue Freeman StrategicAdvisor Successful start-up experience and holder of previous US Patent 4,967,943 Technology background & Visionary behind this technology.  Rider - BMW R1200GS Drue Freeman is a 30-year semiconductor veteran. He advises and consults for technology companies ranging from early-stage start-ups to multi-billion dollar corporations and for financial institutions investigating the implications of the technological disruptions impacting the automotive industry.

  13. Questions? contact us for more information: bmassey@ridarsystems.com

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