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The Technology


Myth:Connected vehicles will compromise my personal privacy.

No, connected vehicle technologies do not pose a significant threat to an individual’s privacy. Connected vehicles being developed under US DOT sponsorship in a manner that:

  • Does not collect or store any personally identifiable information about individuals or vehicles,
  • Does not permit tracking through space or time of specific owners, drivers, or passengers,
  • Does not collect financial information, personal communications, or personally identifiable information about individuals or vehicles,
  • Enrolls V2V-enabled vehicles automatically, without collecting any information identifying specific vehicles or owners.
  • Does not provide a “pipe” into the vehicle for extracting data.1

Myth:Connected vehicle technologies will be used to support enforcement (e.g., red light and/or speeding).

No, connected vehicle concepts developed under sponsorship from US DOT prohibit law enforcement or private entities to use messages exchanged by vehicles to be used for enforcement purposes.

Myth:Connected vehicles (CV) are useful only if everybody is CV-enabled.

No, V2V applications, in general, will require that the vehicles themselves are CV-equipped, but it is expected that in addition to OEM inclusion of the technology in future model years, aftermarket devices will be available, increasing the likelihood of V2V communications. CV-equipped vehicles will be able to take advantage of CV-enabled infrastructure immediately, offering potential safety, mobility and environmental benefits ‘today’. In addition, much of the research being conducted today is focused on identifying those applications which can achieve benefits for individual equipped vehicles, or conditions with very low rates of equipped vehicles.

Myth:Autonomous vehicles will supplant connect vehicle-enabled vehicles in the next decade, making the investment in CV technologies irrelevant.

No, current Autonomous Vehicles use onboard sensors to react to current conditions or to predict based on prior knowledge. CV-enabled infrastructure, such as that deployed at an intersection, eliminates the error associated with predicting or simply reacting by providing real-time situational data from the intersection, including, for instance, time remaining in a green phase, presence of pedestrians, etc.