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PSIMS AVL

Cushing Technologies Inc. provides an AVL system that applies across industry boundaries. The basic approach is to:

1. Provide real-time data to multiple users
2. Store all AVL data for historical purposes
3. Pass AVL data to third party systems

AVL is often more useful in its historical context than in real-time views. To that end the PSIMS AVL system provides a three tier client-server application whose first responsibility is to capture all incoming data and logically store the records in a SQL compliant database. The data is routed to the other applications for real-time viewing purposes.

AVL Data Redirector

The server component of the system is called the AVL Data Redirector. This application is able to gather AVL data from a variety of concurrent networks and organize it by mobile unit in a database. After creating a database copy, the system routes AVL records to predetermined client applications that provide real-time services to the user community.

The redirector component is configured to listen for AVL data on direct serial connections or on the local area network. As fleets by nature can be in vastly different places with different mobile data systems the ability to gather from multiple sources is paramount.

The system also provides the ability to send commands to GPS units for soliciting current position, testing for the presence of the unit, amending the parameters, etc..

Having collected and harmonized the data into a common format, the redirector will make a copy and, using a background process, store the data in a database for historical purposes.

Part of the harmonization is to provide a generic Unit Identifier for each physical device in the field. Typically the server first sees this as the RF device address – be that an IP address, a Kenwood TK-7180, or other RF provider identifier.

Once this key identifier has been determined, entries are made into both and active and historical table of record. The active table maintains the last know position of a vehicle and is aged according to the customers preferences. For example, position reports older than 4 hours may be purged indicating that the unit is inactive. The historical tables maintain a time stamped entry for every record received.

The system may then be configured to pass records on to other systems or PSIMS clients. Often the receiving system is unaware that the PSIMS Server has acted as a pass through agent.

Conversely, where an organization has multiple systems deployed, a central system can be used to provide back-up and an enterprise-wide reporting station. This system can dynamically acquire data from satellite systems through a simple configuration screen.

Another support of third party applications is through a flat file interface. For example, if one used Microsoft Streets as a viewer then the flat file used to drive that application can be configured as an external system.

All together, these features provide a comprehensive AVL data management system.

Vehicle History Reporting

The Vehicle Status client software component of the PSIMS AVL system provides historical views of by vehicle.

Using the drop down selectors, the vehicle and data source are chosen. The result will show the vehicle route:

Depending on the mapping software chosen, routes are depicted in differing ways. The example above uses the Chicago Map Corporation data set. PSIMS AVL supports many mapping products, from retail shelf products such as Microsoft Mappoint to industry leading law enforcement mapping products such as those from GeoComm Inc., BullBerry Systems Inc, microData GIS, etc.

Often customers already own a mapping display system with their own area map sets.

The display also includes a graph of vehicle movement over a 24 hour period. The movement is represented as speed over time with inactivity shown in red. Certain fleet owners have strict speed policies and can be informed when vehicles are exceeding their limits.

The graphical view can also be viewed in its original form.

Having a history of all activity can also be used to evaluate implied mileage according to the GPS data compared to the odometer of the vehicle to determine if the vehicle is being used outside of the work parameters.

 

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