Sensagrate's SensaVision: Reducing Traffic Congestion
For profit business
SensaVision collects real-time traffic and roadway safety data of cities to decrease congestion and save lives on roadways. SensaVision is an end-to-end computer vision, AI, and IoT Mobility-as-a-Service platform for mobility and transportation data providers, and traffic engineers to provide real-time roadway, traffic, and safety analytics with and predictive analysis.
Describe the mission of your organization.
To develop an industry-defining, smart city infrastructure-to-vehicle (I2V) communication platform that provides data to support intelligent decision-making for both human-driven and autonomous vehicles to foster safer interaction as they navigate our roadways.
In which areas of Los Angeles will you be directly working?
- East LA
- County of Los Angeles
- City of Los Angeles
What is the problem that you are seeking to address?
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.
Describe the project, program, or initiative that this grant will support to address the problem identified.
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.
In what stage of innovation is this project, program, or initiative?Pilot or new project, program, or initiative
Approximately how many people will be impacted by this project, program, or initiative?
- Direct impact
- Indirect impact
Describe how Los Angeles County will be different if your work is successful.
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.
What evidence do you have that this project, program, or initiative is or will be successful, and how will you define and measure success?
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.
Which of the connect metrics will you impact?
- Travel time to work
- Public transit ridership
Indicate any additional LA2050 goals your project will impact.
- LA is the best place to PLAY
- LA is the healthiest place to LIVE
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