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MPD063 Video Detection System Merit Data Center System Traffic Flow Radar Detector Traffic Flow Geomagnetic Collection Product Installation Guide
Merit Data Center System
Merit Data Center System
Detailed Introduction

Detailed Introduction

 

System Functions

 

Comprehensive Intersection Data

It can provide traffic data such as traffic flow, real-time speed/average speed, presence, occupancy rate, number of vehicles, number of queuing vehicles, distance from the leading vehicle to the stop line, queue length, and event detection;

Flexible deployment, capable of detecting occupancy data at any position of the intersection;

It can simulate loop coils to detect stationary or fast-moving vehicles, and the number of loop coils can be set based on actual needs;

 

Quick and Easy Installation

It can be installed using existing road infrastructure and poles, with a simple structure and convenient debugging;

 

Support for Software Correction

Support horizontal angle correction and simultaneous monitoring of incoming and outgoing lanes;

 

Visualization

It can access 1 channel of video data to realize system visualization and support target recognition;

 

Access to Geomagnetic Data

It can access up to 32 channels of geomagnetic data to realize multi-technology fusion detection;

 

All-Weather Operation

Suitable for any weather conditions, including rain, fog, snow, strong wind, ice, dust, etc.;

 

Diversified Power Supply Interfaces

POE/12-24VDC power supply/power supply from signal lights, facilitating installation;

 

Diversified Output Interfaces

IO switch signals (needing to be used with a converter), RJ45 network port (RS485 optional), and wireless transmission (optional), facilitating connection with various platforms;

It can realize wireless networking for data transmission, reducing construction difficulty;





Technical Parameters

Traffic flow detection accuracy: ≥98%

Vehicle speed detection range: 0km/h - 250km/h

Vehicle speed detection error: 2% (Note: The original "98%" may be a description error; the actual intended meaning is that the accuracy is over 98%, so the error is less than 2%)

Vehicle length detection accuracy: 90%

Queue length detection accuracy: 90%

Interval vehicle count detection accuracy: ≥90%

Queuing vehicle count detection accuracy: 90%

Detection accuracy of the distance from the leading vehicle to the stop line: 90%

Maximum longitudinal effective distance: 260m

Lateral detection range: 1 - 12 lanes

Simultaneous tracking target count: ≤128

Camera resolution: 5MP, starlight level

Focal length: 16mm

Number of lanes monitored by video simultaneously: ≤8

Identifiable low-speed and static targets: ≤256

Types of vehicle models identifiable: ≤6

Power supply mode: POE/12~24VDC

Average power of the whole machine: ≤9W

Interfaces: IO switch (needs to be used with a converter), RJ45 network port, RS485 (optional), wireless transmission (optional)

Operating temperature range: -40°C - +85°C

Operating humidity range: ≤93%RH

Shell protection class: IP65

Dimensions: 282mm × 212mm × 150mm (excluding bracket)

Electromagnetic compatibility: Complies with GB/T17618 "Limits and Measurement Methods for Immunity of Information Technology Equipment"

Mean Time Between Failures (MTBF): 100,000h

Output Data of Merit Data Center  

 

Timing Data:  

- Effective green time (the green time that vehicles can effectively utilize);  

- Green signal ratio (the proportion of time available for vehicle passage in one cycle, i.e., the ratio of the effective green time of a phase to the cycle length);  

- Cycle length;  

- Green time duration.  

 

Lane-level Real-time Data:  

- Traffic capacity (the maximum number of vehicles that can pass through a section of a road or an intersection per unit time);  

- Saturated headway (the time interval between consecutive vehicle heads traveling in the same lane at saturated traffic flow passing a point);  

- Lane green-end idle time (the duration from when the last vehicle in a lane passes the stop line to the end of the green light);  

- Green light idle time (the time during the green light when no vehicles pass);  

- Saturation (the ratio of the actual traffic flow of the vehicle stream to its saturated traffic capacity, which is one of the important indicators reflecting road service level);  

- Real-time saturated flow rate (the maximum number of vehicles that can pass the stop line during a continuous green light).  

 

Lane-level Statistical Data on Average Speed:  

- Maximum queue length;  

- Initial green queue length (the number of queuing vehicles in the lane when the green light turns on);  

- Maximum saturated flow rate.

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