Benewake Intelligent Traffic System——BITS

Benewake Intelligent Traffic System——BITS

The technology behind traffic light timing programs is rapidly evolving. The aim is to further develop adaptive signal control technology (ASCT) in an effort to adapt traffic light timing programs to the demands of real-time traffic and thus reduce traffic congestion in urban areas.

ITS provide real-time information for decision-making algorithms that can be then used by travelers and traffic management systems. Different advanced driver assistance systems (ADAS) have been developed to make drivers aware of their surroundings while driving. Some of the most common include forward collision warning (FCW), which detects a leading vehicle and calculates relative speed and distance in order to generate warning signals based on time to collision (TTC); traffic sign recognition (TSR) or systems that recognize different traffic signs to augment the field of view of the driver; traffic light recognition (TLR), to detect and recognize traffic lights; and traffic light assistance (TLA) systems that acquire data related to the signal timing, tailback, and geometry of intersections and combine it with in-vehicle data. For each of them, collection of different data is required, such as speed or distance to the following car or next traffic light.

Rigidity analysis

With the rise of smart cities, the intelligent transportation industry has become the most promising industry with the most policy inclination in the current subdivision.

According to the actual application, in order to meet the needs of the scene, the program needs to realize the detection of multiple parameters, such as vehicle model (contour), number of axles, vehicle length, license plate number and other parameters.

Existing solution introduction

Single point LiDAR

This solution is based on the Benewake single-point ToF LiDAR and consists of three parts: the data acquisition unit, using the Benewake single-point long-range LiDAR, TF03. the main control board, used to collect and process LiDAR information and control output results, control LED display screen (can be omitted); mechanical structure, used to install and fix the entire program.

Advantages analysis of solution

High frame rate

High accuracy

Long lifespan

Low cost

Easy to install

Benewake’s single point LiDAR solution: BITS

The two LiDARs are installed in the vertical ground direction and the tilt-to-ground (40 °) direction respectively. The tilt LiDAR and the vertical LiDAR can detect the vehicle successively, calculate the trigger time difference between the two and then calculate the driving speed of the vehicle. The data measured by the vertical radar can restore the contour information of the vehicle. The model recognition is completed by neural network algorithm.

Vehicle height information can be directly obtained by vertical radar measurement. The vehicle speed calculated by the two LiDARs, and the trigger time, calculate the available vehicle speed. The neural network algorithm is used to match and identify the original data collected by the LiDAR.

After the recognition test is completed, the main control board directly transmits the test results to the customer's main control system through the data line. Transmission content includes statistics of vehicle model, vehicle height, vehicle length, vehicle speed and number of vehicle models, see data communication protocol for details.

Main function of BITS:

Traffic statistics

Overspeed detection

Vehicle speed detection

Traffic light control assistance

Figure 1 A typical traffic light control system

Table 1 Rigidity analysis of vehicle classification applications

Figure 3 Benewake’s single point LiDAR solution of vehicle classification traffic statistics

Figure 4 BITS LiDAR detection module

Figure 5 Dimensional drawing of BITS

Figure 6 The original data map of the vehicle models collected by Benewake’s LiDAR

Figure 7 Installation drawing of BITS

Figure 8 GUI for BITS, LiDAR monitor