Beyond One-Off Traffic Counts: Continuous Traffic Flow Analysis and Incident Detection

Everyone knows signal timing must change. The problem is evidence. Most road decisions rely on manual surveys or short samples that show how many cars passed, not that a vehicle is stopped 3 km ahead. LookOut reads every lane in 3D without excavation, unifying counting and incident detection.

Oct 07, 2026

Beyond One-Off Traffic Counts: Continuous Traffic Flow Analysis and Incident Detection

Contents

Who Is This For?A story for organizations that must base their decisions on the flow of traffic on the road.The Problem on the Ground Four problems arise together in road operations.Why Were Existing Methods Insufficient?The root of the problem lies in the structural limitations of each measurement method.How LookOut Solves It LookOut reads the road in 3D using LiDAR sensors and turns it into data through the following steps.What Changes When the measurement method changes, decision-making and cost structures change with it.In a Nutshell Featured Application Scenarios LookOut's traffic volume and flow analysis is applied differently depending on the type of road.Decisions Grounded in Road Traffic Flow, LookOut Is With You

Who Is This For?

A story for organizations that must base their decisions on the flow of traffic on the road.

Transportation and road operations departments of local and central governments
Road and tunnel operators such as expressway corporations and facilities management agencies
Transportation facility operators such as national rail authorities and urban railway operators
Smart city and Intelligent Transportation Systems (ITS) integrators
Traffic impact assessment, road design, and traffic consulting firms

What they all need is the answer to one question: "How is this road actually being used right now?" Every decision, from adjusting signals and redrawing lanes to responding to accidents, is made on that basis.

The Problem on the Ground

Four problems arise together in road operations.

Decision-making: Signal timing and road operation policies must be set, but their basis remains limited to manual surveys at specific times or sample data.
Safety: It is difficult to detect incidents such as stopped vehicles, fallen debris, jaywalking, and wrong-way driving in real time, especially in tunnel sections with inconsistent lighting.
Cost: Embedding measurement equipment requires excavating the road and closing lanes. Both installation and maintenance involve traffic control.
Technology: It is difficult to capture traffic volume by vehicle type together with movement paths, and comparing data accumulated separately by each device over long periods is cumbersome.

Why Were Existing Methods Insufficient?

The root of the problem lies in the structural limitations of each measurement method.

Manual traffic surveys are limited in duration and scope, and it is difficult to accumulate data continuously.
Loop and piezoelectric sensors must be embedded by excavating the road, and they only record that something passed over the embedded point. They are limited when it comes to vehicle classification and movement path analysis.
Video cameras are vulnerable to nighttime conditions, backlighting, shadows, and occlusion between objects, and they carry a privacy burden.
Running incident detection and traffic counting as separate systems increases the amount of equipment and makes it difficult to compare data against a single standard.

In short, there was no solution that simultaneously met all four conditions: requiring no excavation, classifying by vehicle type, detecting incidents at the same time, and carrying no privacy burden.

How LookOut Solves It

LookOut reads the road in 3D using LiDAR sensors and turns it into data through the following steps.

Detection and classification: Passenger cars, commercial vehicles, motorcycles, bicycles, and pedestrians are detected and distinguished as separate 3D objects. Because irregular objects not included in the training list are also detected, fallen debris or cargo on the lanes is not missed.
Trajectory tracking: Each detected object is assigned a unique ID and its trajectory is tracked continuously. Which lane a vehicle entered from and which direction it exited toward is recorded as a single flow.
Measurement: Speed and size are calculated together to automatically compute traffic volume by vehicle type, average speed, occupancy, and queue length.
Zone configuration and event alerts: Intersection approaches, merging and diverging sections, and shoulders are designated as virtual zones, and alerts are triggered when situations such as stops, wrong-way driving, or zone intrusions occur.
External integration: Results are sent to control systems, CCTV cameras, license plate recognition cameras, and alarm devices, so the detected location can be checked and responded to immediately.
Accumulation and analysis: Accumulated data by time of day, day of week, and period is delivered through dashboards and heatmaps.
De-identification: Because the system uses 3D coordinate data rather than raw video, pedestrian movement is analyzed without identifying faces.

No excavation, classification down to vehicle type, incident detection included, and no facial identification. LookOut meets all four conditions above at once.

What Changes

When the measurement method changes, decision-making and cost structures change with it.

Signal timing adjustments and road operation policies can be based on continuously accumulated data.
Because measurement and incident detection are handled on a single perception platform, equipment and operating systems are simplified.
The staff and costs previously spent on time-specific surveys can be reduced.
Bottlenecks and accident-prone locations can be identified through accumulated data.
Before-and-after changes from road improvement projects can be quantitatively compared using the same metrics.
Because installation requires no excavation or lane closures, the burden of traffic control during construction is reduced.

💡

In a Nutshell

Going beyond one-off traffic surveys to turn every movement on the road into continuous data.

Featured Application Scenarios

LookOut's traffic volume and flow analysis is applied differently depending on the type of road.

Urban arterial roads and tunnel sections: Operated as a monitoring system that continuously analyzes vehicle traffic while detecting abnormal situations at the same time. Even at tunnel entrances and exits where lighting changes sharply, LiDAR works the same because it measures distance by emitting its own signal.
Urban intersections: Traffic information by approach and direction is analyzed and used as the basis for signal optimization, and the system serves as measurement infrastructure for evaluating smart intersection performance.
Expressway mainlines: Using long-range LiDAR, vehicle positions can be precisely tracked over sections of up to 500 m, enabling real-time monitoring of traffic flow and incidents.
Rest area and terminal entrances/exits: Entering and exiting vehicles are counted by vehicle type and linked with people counting inside the facility, giving a combined view of vehicle and pedestrian flow.
Railway facilities: The same perception platform can be applied to station entry/exit routes and connecting transportation sections. However, because railway environments differ from roads, the scope of application is defined through on-site consultation.

Decisions Grounded in Road Traffic Flow, LookOut Is With You

If you need a detailed explanation of LiDAR-based traffic volume and flow analysis tailored to the road or railway sections you operate, please submit a request through the "Request a Custom Consultation" form. Tell us about the layout of the target section and your measurement goals, and we will propose a sensor placement plan along with the metrics we can deliver.

Contents

Use Case

Beyond One-Off Traffic Counts: Continuous Traffic Flow Analysis and Incident Detection

Oct 07, 2026

Contents

Who Is This For?

A story for organizations that must base their decisions on the flow of traffic on the road.

Transportation and road operations departments of local and central governments
Road and tunnel operators such as expressway corporations and facilities management agencies
Transportation facility operators such as national rail authorities and urban railway operators
Smart city and Intelligent Transportation Systems (ITS) integrators
Traffic impact assessment, road design, and traffic consulting firms

The Problem on the Ground

Four problems arise together in road operations.

Decision-making: Signal timing and road operation policies must be set, but their basis remains limited to manual surveys at specific times or sample data.
Safety: It is difficult to detect incidents such as stopped vehicles, fallen debris, jaywalking, and wrong-way driving in real time, especially in tunnel sections with inconsistent lighting.
Cost: Embedding measurement equipment requires excavating the road and closing lanes. Both installation and maintenance involve traffic control.
Technology: It is difficult to capture traffic volume by vehicle type together with movement paths, and comparing data accumulated separately by each device over long periods is cumbersome.

Why Were Existing Methods Insufficient?

The root of the problem lies in the structural limitations of each measurement method.

Manual traffic surveys are limited in duration and scope, and it is difficult to accumulate data continuously.
Loop and piezoelectric sensors must be embedded by excavating the road, and they only record that something passed over the embedded point. They are limited when it comes to vehicle classification and movement path analysis.
Video cameras are vulnerable to nighttime conditions, backlighting, shadows, and occlusion between objects, and they carry a privacy burden.
Running incident detection and traffic counting as separate systems increases the amount of equipment and makes it difficult to compare data against a single standard.

How LookOut Solves It

LookOut reads the road in 3D using LiDAR sensors and turns it into data through the following steps.

Detection and classification: Passenger cars, commercial vehicles, motorcycles, bicycles, and pedestrians are detected and distinguished as separate 3D objects. Because irregular objects not included in the training list are also detected, fallen debris or cargo on the lanes is not missed.
Trajectory tracking: Each detected object is assigned a unique ID and its trajectory is tracked continuously. Which lane a vehicle entered from and which direction it exited toward is recorded as a single flow.
Measurement: Speed and size are calculated together to automatically compute traffic volume by vehicle type, average speed, occupancy, and queue length.
Zone configuration and event alerts: Intersection approaches, merging and diverging sections, and shoulders are designated as virtual zones, and alerts are triggered when situations such as stops, wrong-way driving, or zone intrusions occur.
External integration: Results are sent to control systems, CCTV cameras, license plate recognition cameras, and alarm devices, so the detected location can be checked and responded to immediately.
Accumulation and analysis: Accumulated data by time of day, day of week, and period is delivered through dashboards and heatmaps.
De-identification: Because the system uses 3D coordinate data rather than raw video, pedestrian movement is analyzed without identifying faces.

No excavation, classification down to vehicle type, incident detection included, and no facial identification. LookOut meets all four conditions above at once.

What Changes

When the measurement method changes, decision-making and cost structures change with it.

Signal timing adjustments and road operation policies can be based on continuously accumulated data.
Because measurement and incident detection are handled on a single perception platform, equipment and operating systems are simplified.
The staff and costs previously spent on time-specific surveys can be reduced.
Bottlenecks and accident-prone locations can be identified through accumulated data.
Before-and-after changes from road improvement projects can be quantitatively compared using the same metrics.
Because installation requires no excavation or lane closures, the burden of traffic control during construction is reduced.

💡

In a Nutshell

Going beyond one-off traffic surveys to turn every movement on the road into continuous data.

Featured Application Scenarios

LookOut's traffic volume and flow analysis is applied differently depending on the type of road.

Urban arterial roads and tunnel sections: Operated as a monitoring system that continuously analyzes vehicle traffic while detecting abnormal situations at the same time. Even at tunnel entrances and exits where lighting changes sharply, LiDAR works the same because it measures distance by emitting its own signal.
Urban intersections: Traffic information by approach and direction is analyzed and used as the basis for signal optimization, and the system serves as measurement infrastructure for evaluating smart intersection performance.
Expressway mainlines: Using long-range LiDAR, vehicle positions can be precisely tracked over sections of up to 500 m, enabling real-time monitoring of traffic flow and incidents.
Rest area and terminal entrances/exits: Entering and exiting vehicles are counted by vehicle type and linked with people counting inside the facility, giving a combined view of vehicle and pedestrian flow.
Railway facilities: The same perception platform can be applied to station entry/exit routes and connecting transportation sections. However, because railway environments differ from roads, the scope of application is defined through on-site consultation.

Decisions Grounded in Road Traffic Flow, LookOut Is With You

Contents