Intersection Directional Traffic Volume, Signal Optimization, and Incident Detection
Solutions
Lookout™
Industry
Roads·Rail
Applicatios
Traffic Analytics
Go beyond fragmented traffic surveys
and turn every movement on the road into continuous data.
Target Customers
• Traffic and road operations departments of central and local governments
• Road corporations, railway authorities, and transportation facility operators
• Smart city and intelligent transportation system (ITS) implementation providers
• Traffic impact assessment, road design, and traffic consulting firms
Challenges
• No way to continuously and accurately measure traffic volume, speed, and congestion by lane and vehicle class, leaving insufficient evidence for signal operations and road policy
• Reliance on fragmented data from survey time points makes it difficult to reflect actual traffic flow, which varies by day and time, in policy
• Bottlenecks and conflict risks at intersections, merges, and diverges cannot be captured in real time, so problem sections are recognized only after accidents occur
Existing Limitations
• Detect vehicles and pedestrians as 3D objects with LiDAR and track their trajectories.
• Automatically analyze traffic volume by lane, direction, and vehicle class, including average speed, occupancy, and queue length.
• Configure intersection approaches, merging areas, and diverging areas as virtual analysis zones.
• Provide accumulated data by time, day, and period through dashboards and support external-system integration.
• Use 3D coordinate data rather than raw video to minimize privacy exposure.
Solution Approach
• Detect vehicles and pedestrians as 3D objects with LiDAR sensors and track their trajectories
• Automatically analyze traffic volume, average speed, occupancy, and queues by lane, direction, and vehicle class
• Define desired areas, such as intersection approaches and merge/diverge sections, as virtual analysis zones
• Provide accumulated data by time of day, day of week, and period on a dashboard and integrate with external systems
• Use 3D coordinate data rather than raw video to minimize privacy exposure
Expected Benefits
• Enable signal cycle adjustment and road operations policy-making based on continuously accumulated data
• Reduce the labor and cost spent on traffic surveys
• Objectively identify bottleneck sections and accident-risk sections
• Quantitatively compare traffic flow before and after road improvement projects
• Obtain vehicle and pedestrian movement data while lowering privacy burden
