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UseCases

value proposition

Smarter Navigation

Real-time traffic information update, reduces the latency from minutes to seconds, figure out the most efficient way for drivers.

Safe Drive Improvement

Figure out the potential risks which can NOT be seen by the driver. 

Reduce traffic violation

Let the driver understand the traffic rule in some specific area. For instance,  change the line prior to a narrow street, avoiding the opposite way drive in the one-way road, avoiding car pool lane when a single driver and so on.

Cooperative vehicle  and

infrastructure system

Real time road objects status is obtained by roadside sensing system.  Based on the sensing data, the vehicle obtains the traffic warning and driving assistance informationwhich threatens itself.

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Test case: The roadside camera recognizes the vehicles and pedestrians on the road through the edge computing server, and then pushes the pedestrian warning to the host vehicle (blue vehicle) .


Overall application Architecture

The following picture depicts the application architecture of the Connect Vehicle Blueprint, which consists of the following key components:

  • Commodity Hardware, Arm/X86 Physical Server.
  • Virtualization Layer.
  • Tars Microservice Platform layer.
  • Connected Vehicle Applications layer.

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Connected Vehicle Applications include roadside traffic situation monitoring, driving risk assessment, road event perception, high percision positioning, and so on.

Overall deployment Architecture

The following picture depicts the architecture of the Connect Vehicle Blueprint, which consists of the following key components:

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Connected Vehicle Applications are some different applications that fulfill Accurate Location, Smarter Navigation, Safe Drive Improvement, Reduce traffic violations, and cooperative vehicle infrastructure system.

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Platform Architecture

Software Platform Architecture

The following is the general architecture of Tars, which is a major component in R4.

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