Developing a Vehicle Communciation Network for a Safer Future

Why We are Developing Such a Network ?

Roadside infrastructure has evolved significantly over the last 100 years. The modern driver experiences different visual cues consisting of road markers, traffic lights and street signs. Human drivers can easily recognize these visual cues that are designed to convey short, simple messages. However, visual information is difficult for machines to detect, process, and respond to. To overcome this difficulty and accelerate the deployment of self-driving cars, SinWaves sees an opportunity to create a “smart” transportation infrastructure through the implementation of a roadside communication network (RCN). A unit placed on a street sign will transmit information to approaching vehicles alerting of upcoming events. The driver, whether person or machine, receives the information with more than adequate response time to make safer, smarter decisions.

Navigational technologies have tried to provide additional road characteristics, such as speed limits, but without continual software updates their navigational context data can become oudated. Mapping software best provides maps and directions, but can’t always convey changes like closures and detours due to events like construction and power outages. Road maintenance and construction often involves alterations or detours to the original flow of traffic in addition to adding other hazards like equipment and personnel into the street. The latest technical advances in vehicles use visual object detection and/or radar to determine their surroundings. These solutions can provide the driver with additional cognitive awareness, helping them to make better and safer driving decisions. Each approach has its limitations that become apparent when working with autonomous vehicles.

The roadside infrastructure proposed by SinWaves can rapidly overcome some of the difficulties encountered by self-driving cars. Distributing these units into the field alleviates demands that would otherwise be placed on the cloud infrastructure because necessary information is available at the point of interest. By moving from cloud-based systems to location-based services, field information is always correct because it is able to be updated quickly. For example, when road work disturbs the normal flow of traffic, construction units are placed in the field providing advanced notice to approaching vehicles of route modification and personnel at work. Detailed, real-time field data as descripted isn’t always available by cloud.

    The current infrastructure needs to be updated. The next revolution will not be adding more bridges, it will be optimizing current roadways.

      Pedestrians need to be addressed in the future of a connected infrastructure. SīnWaves is developing technology that will seamless integrate with no motorized technology to create redundancies in safety critical situations.