Prajakta Desai

Just as we leverage sensing technologies to measure individual’s breathing and heart rates, cities can actually benefit from the same technology. One of the key aspects of a smart city is a sensor-equipped intelligent transportation system that monitors the city’s “health” – tracking traffic data and parking meters for enforcement, traffic light prioritization and incident management as shown in Figure 1.

Intelligent sensors serve as the heart of intelligent transportation systems to track traffic congestion and keep traffic flowing, especially at intersections and on highways. These sensors must possess these features:

• Accuracy, to measure extended range, velocity and position of vehicles or pedestrians.
• Robustness, including imperviousness to weather conditions, darkness and sunlight.
• Integration in order to optimize real-time assessment and corrections.
• Ease of use, with reference code and sample performance to accelerate deployment.

TI’s innovative millimeter-wave (mmWave) technology is an over-the-air sensing solution for traffic monitoring, with an inherent capability to measure range, velocity and position information to determine a vehicle’s distance from intersections, as well as its speed and lane occupation. The new and updated Traffic Monitoring Object Detection and Tracking Reference Design Using mmWave Radar Sensor with the IWR1642 includes an onboard C674x digital signal processor that enables detection of objects, while the Arm® R4F processor enables the tracking of vehicle range and velocity over time. See Figure 2.

With this new design, TI makes it easier to use mmWave radar sensors in a variety of traffic monitoring applications (see Table 1). For example, a sensor that can monitor vehicle speeds on a highway might make it possible to remotely issue tickets to speeding cars and reduce the possibility of dangerous situations for law enforcement. In order to do that, however, the sensor must be able to accurately detect the velocity of various objects at different distances, enabled by the Vmax extension algorithm added to the design.

This same functionality would improve the accuracy of a sensor monitoring an intersection, enabling it to better anticipate the number of vehicles approaching. This functionality can enable green-light control, creating a smoother flow of traffic with fewer starts and stops and making it easier to ticket those who run red lights.

The reference design also features an advanced detecting and tracking algorithm that enables the sensor to maintain a history of where a particular object has been, making it easier for the sensor to more accurately distinguish between multiple cars or other objects in a dense urban environment.

With a 35cm range resolution, the solution is capable of detecting various objects at different distances up to 200m. In addition, a 50cm-per-second velocity resolution enables accurate tracking of vehicles in a single lane up to 200kph for highway monitoring, with higher speed limits and vehicles in multiple lanes up to 70kph for green-light control and enforcement at intersections.

A 120-degree field-of-view (FOV) capability with a 15-degree angular resolution enables a wider detection view of cars or pedestrians approaching an intersection. The sensor can keep an eye on multiple parking spots, so drivers know whether it’s worth it to go down that one aisle in the parking garage, or if they’re better off just going up a floor.

The innovations packed into the IWR1642 mmWave sensor system can help you address the challenges in intelligent transportation systems, that will help you focus on creating a differentiated end product.

Get started today and accelerate your development to production with the IWR mmWave platform.

Additional Resources

• To start developing your intelligent transportation system using mmWave sensor systems:
  • Download Traffic Monitoring Object Detection and Tracking Reference Design
  • Order the IWR1642-BOOST evaluation module.
  • Download the IWR1642 data sheet.