transit stop locations Quintuple
Bidirectional?: False
transit stop locations (A-Interconnect): This CVRIA application interconnect encapsulates all of the Layer 2 information flows between two application objects: 'Map Management', and 'Transit Vehicle V2V Safety'. In this case, there is only a single Layer 2 flow associated with this interconnect, so the Layer 1 application interconnect name and the Layer 2 information flow name are both 'transit stop locations'. This application interconnect is uni-directional since the underlying layer 2 information flows go from 'Map Update System' to 'Transit Vehicle OBE'.
Map Update System (Source Physical Object): The 'Map Update System' represents a provider of map databases used to support ITS services. It supports the provision of the map data that are used directly by vehicles (e.g., roadway and intersection geometry data sets), travelers (e.g., navigable maps used for route guidance and display maps used at traveler information points), system operators (e.g., map data used by Traffic Operators to monitor and manage the road network, and map data used by Fleet Managers to manage a vehicle fleet). It may represent a third-party provider or an internal organization that produces map data for agency use. Products may include simple display maps, map data sets that define detailed road network topology and geometry, or full geographic information system databases that are used to support planning and operations.
Map Management (Source Application Object): "Map Management" provides the GIS functionality necessary to support map data creation and management. It provides an operator interface that supports management of the map data and rendering of the maps under operator control and interfaces to external data sources, including the connected vehicle environment.
Transit Vehicle OBE (Destination Physical Object): The Transit Vehicle On-Board equipment (OBE) resides in a transit vehicle and provides the sensory, processing, storage, and communications functions necessary to support safe and efficient movement of passengers. The types of transit vehicles containing this physical object include buses, paratransit vehicles, light rail vehicles, other vehicles designed to carry passengers, and supervisory vehicles. It collects ridership levels and supports electronic fare collection. It supports a traffic signal prioritization function that communicates with the roadside physical object to improve on-schedule performance. Automated vehicle location enhances the information available to the transit operator enabling more efficient operations. On-board sensors support transit vehicle maintenance. The physical object supports on-board security and safety monitoring. This monitoring includes transit user or vehicle operator activated alarms (silent or audible), as well as surveillance and sensor equipment. The surveillance equipment includes video (e.g. CCTV cameras), audio systems and/or event recorder systems. It also furnishes travelers with real-time travel information, continuously updated schedules, transfer options, routes, and fares. In CVRIA, a separate 'Vehicle OBE' physical object supports the general V2V and V2I safety applications and other applications that apply to all vehicles, including transit vehicles. The Transit Vehicle OBE supplements these general capabilities with capabilities that are specific to transit vehicles.
Transit Vehicle V2V Safety (Destination Application Object): "Transit Vehicle V2V Safety" exchanges current vehicle location and motion information with other vehicles in the vicinity, uses that information to predict vehicle paths, and notifies the driver when the potential for an impending collision is detected. Information from on-board sensors (e.g., radars and image processing) are used to augment the V2V communications, if available. In addition to notifying the driver, control information can also be provided to support automated control functions that can avoid the collision. This object is similar to the "Vehicle Basic V2V Safety", but it accounts for crash scenarios that are unique to transit vehicles (e.g., Vehicle Turning Right in Front of Bus). It is also stop-aware since stop locations pose specific crash threats for transit vehicles. Finally, the detection and control algorithms, filters, and timing account for bus performance and risk profiles associated with remote vehicles that are unique to transit.