The airline industry mandates the use of a Traffic Collision Avoidance System (TCAS) that tracks trajectories and identifies potential collisions.
On our roadways, where far more lives are at stake, we lack such a foundational and necessary safety mechanism.
And yet, as the world works to overcome the challenges of connected mobility, a chaotic transition is taking place.
Cars from the 80s, 90s, and 2000s drive side by side with technologically advanced semi-autonomous and autonomous vehicles. This disparity will continue to grow into the foreseeable future.
One of the biggest challenges to realizing connected mobility is getting all modes of transportation to communicate with each other and with infrastructure.
Cellular communication, known here as C-V2X, is the fastest and most economical route.
Without C-V2X or massive infrastructure investment, the most technologically advanced autonomous features will still communicate, as they do today, primarily with themselves, using only line of site technologies to navigate and avoid collisions.
But they won’t be able to predict potential collisions, which provides the opportunity for corrective measures.
MCAS creates an infrastructure that opens communication amongst all modes of transportation, including vehicles, bicyclists, pedestrians and others, for beyond-line-of-site collision avoidance and predictive trajectories.
In essence, we’ve created for our roadways a safety infrastructure similar to that used in the ultra-safe airline industry.
Sfara assembled a partnership of four global technology players offering leading-edge solutions covering all necessary aspects of an MCAS deployment.
This includes multi-modal, mobile crash detection, data prioritization, network compatibility and security.
Together, these partners offer an unparalleled opportunity to propel the transportation revolution forward with a solution that works today, not in some distant future.
Sfara’s mobile AI uses the hard sensors in ubiquitous smartphones and data from the edge to precisely determine location for use in anonymized situational mapping and predictive trajectories.
No other solution offers the ubiquity of multi-modal detection by smartphone. Plus, embedded solutions, which exclude non-vehicular transportation, don’t have a globally ubiquitous infrastructure in place.
MobiledgeX cloudlets exist on the edge, which provides the ultra-low latency necessary for split-second decision making in driving situations and seamless data exchange through all participating carrier networks.
Without agnostic cloudlets on competing infrastructures, MCAS could only work in limited geographic zones, causing huge gaps in data.
Solace extrapolates data sent to the cloudlets in the cell towers, prioritizes that data and then shares it as needed amongst cloudlets, giving priority to MCAS safety and emergency data.
In split-second, life-or-death driving situations, safety data must override other network traffic, such as people binge watching streaming shows or using augmented reality apps.
Accedian provides Cloudlet network and application performance as well as auditable telemetry, user attribution, as well as intrusion detection and forensics.
Critical safety data must be performant and secure, but it must also be auditable and offer network and application transactional attestation and threat forensics that can detect or predict performance impairments or intrusions.