Sensagrate's SensaVision: Reducing Traffic Congestion

Drivers face 2.9 billion gallons of wasted fuel and generate 56 billion lbs. of additional CO2. In the US, on average 37,000 people die in crashes annually and 50% of fatal and injury crashes occur at or near intersections. Pedestrian fatalities are increasing with more than 6500 fatalities in 2019 estimated by the Governors Highway Safety Association (GHSA). Where 75% of pedestrian fatalities are beyond the intersection and 82% are at night (AAA). These factors are distracted driving, impaired driving, distracted pedestrians, red-light runners, wrong-way drivers, speeding, and other factors. These problems decrease the efficiencies of traffic congestion, reducing emissions, and improving public safety with an economic cost in the US of $242B annually.

SensaVision collects, provides, and analyzes real-time roadway and traffic data. LiDAR point cloud and camera data provide 2D and 3D real-world views of vehicles, pedestrians, cyclists, and other mobility and non-mobility data with tracking and analytics. The data is time series based and there’s no data collection of personal identification information. Data shared is in raw view or processed JSON format. The data is collected at intersections, beyond intersections, mid-block, and other locations to provide viable and unique data to assess and understand risks, traffic flow analytics, counts, volume, predictive AI analytics, and roadway safety. Data collected is processed with traffic, signal, and roadway data to provide advanced analytics of driver and pedestrian behavior and traffic analysis. Data analytics can be used to improve pedestrian safety, for mobility applications, to foster better decision making for autonomous vehicles, and prepare for the future of intelligent transportation system applications in Vehicle-to-Infrastructure (V2X) and Infrastructure-to-Everything (I2X) communications.

Pilot or new project, program, or initiative

Our vision is to help reduce congestion, decrease emissions and save lives on roadways. The goal would be to pilot our technology with a city in Los Angeles County and with a successful pilot to expand across one city to neighboring and other cities across the county. A part of our plan is to integrate our data and solution into traffic control signals to make them adaptive. As well as, deployments that happened across the county our expansion to other intelligent transportation system solutions include vehicle-to-everything and infrastructure-to-vehicle communications. This solution will provide an intersection to intersection communication between all traffic signals to optimize traffic flow while decreasing congestion, emissions and improving public safety.

Results and impact will be measured by seeing the first 3 to 6 months of traffic flow and how traffic flow with congestion decreases creating less travel time and reducing emission. We install CO2 sensors without deployments to measure emission ratings. In addition, we assess the rate and frequency of near-miss collisions to verify changes to the signal phase and timing or other city planning impacts add value to describing the rate of incidents.