Other PIDs --> Personal Information Device:
VRU path prediction

This triple is bi-directional. See also Personal Information Device --> Other PIDs: VRU path prediction

Definitions

VRU path prediction (Information Flow): The predicted future path of travel by the VRUs equipment. This flow includes an indication of the future positions of the transmitting traveler that can be used by receiving connected devices to support coordinated travel maneuvers and enhance collision avoidance.

Other PIDs (Source Physical Object): 'Other PIDs' represents other personal information devices (PIDs) that are communicating with the device. This includes all connected personal information devices that support wireless short-range communications, including those used by pedestrians, cyclists, and other vulnerable road users (VRUs). This object provides a source and destination for information transfers between connected personal devices. The host device, represented by the Personal Information Device physical object, sends information to, and receives information from the Other PIDs to model all connected personal-to-personal (P2P) communications in ARC-IT.

Personal Information Device (Destination Physical Object): The 'Personal Information Device' provides the capability for travelers to receive formatted traveler information wherever they are. Capabilities include traveler information, trip planning, and route guidance. Frequently a smart phone, the Personal Information Device provides travelers with the capability to receive route planning and other personally focused transportation services from the infrastructure in the field, at home, at work, or while en-route. Personal Information Devices may operate independently or may be linked with vehicle on-board equipment. This subsystem also supports safety related services with the capability to broadcast safety messages and initiate a distress signal or request for help.

Included In

This Triple is in the following Service Packages:

This triple is associated with the following Functional Objects:

This Triple is described by the following Functional View Data Flows:

This Triple has the following triple relationships:

None

Communication Solutions

Solutions are sorted in ascending Gap Severity order. The Gap Severity is the parenthetical number at the end of the solution.

Selected Solution

(None-Data) - Local Unicast Wireless (1609.2)

Solution Description

This solution is used within Canada and the U.S.. It combines standards associated with (None-Data) with those for V-X: Local Unicast Wireless (1609.2). The (None-Data) standards include an unspecified set of standards at the upper layers. The V-X: Local Unicast Wireless (1609.2) standards include lower-layer standards that support local-area unicast wireless solutions applicable to North America, such as WAVE DSRC, LTE-V2X, LTE, Wi-Fi, etc.

ITS Application Entity
Mind the gapMind the gap

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Mgmt
Mind the gap

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Mind the gap

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Mind the gap
TransNet

IEEE 1609.3
Access
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TransNet TransNet

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Note that some layers might have alternatives, in which case all of the gap icons associated with every alternative may be shown on the diagram, but the solution severity calculations (and resulting ordering of solutions) includes only the issues associated with the default (i.e., best, least severe) alternative.

Characteristics

Characteristic Value
Time Context Recent
Spatial Context Regional
Acknowledgement True
Cardinality Unicast
Initiator Source
Authenticable True
Encrypt False


Interoperability Description
National This triple should be implemented consistently within the geopolitical region through which movement is essentially free (e.g., the United States, the European Union).

Security

Information Flow Security
  Confidentiality Integrity Availability
Rating Low High Moderate
Basis Information intentionally shared with surrounding users that might cooperate. Initial use cases suggest broadcast-mode communications, and no presumption of obfuscation. MMV clustering applications need timeliness and protection of data to ensure that platooning-like operations happen without incident. Data integrity protections rated higher than availability because incorrect/modified data could lead to catastrophic consequences given the lack of protection that most MMVs offer, and the fact that they operate in close proximity to pedestrians. MMV clustering applications need timeliness and protection of data to ensure that platooning-like operations happen without incident. Data integrity protections rated higher than availability because incorrect/modified data could lead to catastrophic consequences given the lack of protection that most MMVs offer, and the fact that they operate in close proximity to pedestrians.


Security Characteristics Value
Authenticable True
Encrypt False