Advancing Intelligent Transportation Systems with LiDAR Technology

Frequently Asked Questions

• How does LiDAR compare to inductive loop detectors for traffic counting?

  Inductive loop detectors are embedded in pavement and count vehicles by sensing magnetic field disruption as metal passes over them. They provide no spatial context, cannot classify pedestrians or cyclists, and require costly road closures to install or repair. LiDAR sensors mount overhead on poles or gantries and capture the full 3D geometry of every entity crossing an intersection, enabling simultaneous vehicle classification, pedestrian tracking, and near-miss detection without touching the road surface. Outsight applies this infrastructure-based LiDAR approach at city scale through its SHIFT platform, including deployments at smart-city intersections such as those in Bellevue, Washington, where the goal is reducing traffic fatalities through real-time spatial intelligence.

• What does LiDAR actually measure at a smart city intersection that radar cannot?

  Radar returns a velocity and approximate range per detected object but collapses spatial shape into a point or blob. LiDAR captures millions of 3D points per second, resolving the bounding box, orientation, and trajectory of every entity simultaneously: a cyclist filtering between lanes, a pedestrian mid-crossing, and a turning bus are all tracked as distinct classified objects with centimeter-level positions. That geometric fidelity is what enables near-miss detection and vulnerable-road-user monitoring at scale. Outsight applies this capability at smart-city intersections through its infrastructure-based Motional Digital Twin, with deployments such as the City of Bellevue's Vision Zero program using LiDAR-derived 3D data to monitor exactly these conflict scenarios without capturing any biometric information.

• Can LiDAR-based traffic sensors be used for Vision Zero pedestrian safety programs?

  Yes. The City of Bellevue, Washington deployed LiDAR-based intersection monitoring as part of its Vision Zero initiative, using real-time 3D tracking to identify conflict points between pedestrians and vehicles. That deployment was built on Outsight's infrastructure-based approach, where LiDAR sensors installed in the infrastructure itself generate a Motional Digital Twin of every person and vehicle moving through an intersection. Because LiDAR assigns persistent anonymous IDs to every detected entity, it can log trajectory data needed to reconstruct near-miss events and generate the objective safety metrics that policy programs require before scaling citywide. The anonymous-by-definition nature of LiDAR perception, capturing shape and motion rather than faces or license plates, also makes it compatible with the privacy constraints that municipal Vision Zero programs typically face.

• How is real-time LiDAR data typically fed into a city's traffic management center?

  Edge processing hardware at each intersection converts raw 3D point clouds into structured entity streams (position, class, speed, heading) in under 50 milliseconds. That structured feed is then transmitted over the city's fiber or cellular backhaul to the traffic management center's UTMC platform via standard protocols such as MQTT or REST. Outsight's SHIFT platform follows this same architecture, processing infrastructure-mounted LiDAR data through a sub-50ms pipeline and delivering pre-classified object streams to downstream city systems, as demonstrated in its Vision Zero intersection deployment with the City of Bellevue. The management center receives pre-classified events rather than raw sensor data, keeping bandwidth demands manageable even across large corridor deployments.

• Does infrastructure-mounted LiDAR work without GPS or cellular connectivity at each sensor?

  Infrastructure-mounted LiDAR sensors do not require GPS because their position and orientation are fixed and calibrated once at installation. Each sensor knows its own coordinate frame relative to the intersection or facility layout. Connectivity is needed only to transmit the processed entity stream to a central platform; if that link drops, edge hardware buffers data locally and resumes transmission when connectivity restores. This architecture is more resilient than cloud-dependent video analytics systems. Outsight's SHIFT platform follows exactly this model, running a sub-50ms edge pipeline that produces a real-time 3D entity stream without relying on GPS or per-sensor cellular links, as demonstrated in smart-city deployments such as the City of Bellevue's Vision Zero intersections.

• How many cities have deployed LiDAR in their ITS infrastructure?

  According to figures cited in recent ITS industry coverage, over 30 major metropolitan areas have integrated LiDAR into their ITS infrastructure to improve traffic flow and incident detection. The figure reflects deployments where LiDAR is used as a primary sensing layer for real-time monitoring, not supplementary research pilots. Adoption is concentrated in North America, Europe, and parts of Asia, driven by Vision Zero mandates, smart-city investment programs, and the declining unit cost of solid-state LiDAR sensors. The City of Bellevue, Washington, is one documented example, where Outsight's infrastructure-based LiDAR approach supports Vision Zero intersection safety goals by tracking pedestrian and vehicle movement in real time without capturing any biometric data.