Autotalks provides chipsets to NoTraffic autonomous driving traffic management platform

(Image source: Autotalks official website)

According to foreign media reports, Autotalks, a global leader in V2X (vehicle-to-everything) communication solutions, is supplying its chipset for NoTraffic's autonomous driving traffic management platform, which can convey infrastructure sensor information to vehicles through V2I (vehicle-to-infrastructure) communication. The integrated solution can identify various objects such as vehicles, motorcycles, pedestrians, etc., and can also use dedicated short-range communication technology (DSRC) or C-V2X (cellular network vehicle-to-everything) technology to transmit such information to oncoming vehicles. The car will alert the driver and automatically brake in dangerous situations to avoid traffic accidents.

Smart infrastructure equipped with visual sensors such as cameras and radars, as well as non-visual sensing devices such as VX2, can improve traffic flow while enhancing safety. NoTraffic's platform can be deployed anywhere in the world to make urban intersections safer and more efficient, including ensuring the safety of vulnerable road users such as pedestrians and cyclists, providing priority for emergency vehicles and public transportation, allowing autonomous vehicles to safely pass through intersections, and managing traffic to improve road capacity and flow.

Autotalks' second-generation V2X chipset for deployment is the world's first viable solution that supports both DSRC based on the 802.11p/ITS-G5 standard and C-V2X based on 3GPP Release 14 and 15 specifications. It also embeds V2X cybersecurity features, and the chipset allows customers to easily switch between DSRC and C-V2X communications. NoTraffic's platform includes data from various fused sensors (cameras, radar, V2X) installed at intersections, which can work directly with centralized systems in the cloud to improve traffic flow and road user safety. Integrating Autotalks' V2X chipset allows NoTraffic to use visual sensors to improve the effectiveness of V2X.