What does SPM mean in UNCLASSIFIED

Signal Performance Measures (SPM) are calculated by assessing the performance of a signal system based on defined metrics related to safety, reliability, efficiency, and demand/capacity balancing. Each metric is weighted differently depending on the specific type of service being evaluated. The resulting metrics can be utilized to understand how the system is performing against pre-determined goals, track progress over time and make informed decisions related to investments, operations and planning.

For calculating SPMs, data from various traffic sources such as Automatic Vehicle Counts (AVCs), Automatic Number Plate Recognition (ANPR), travel speed surveys, public transit ridership counts, origin-destination surveys, as well as other sensor data from traffic signals or environmental factors can be used. Some metrics also require inputs from crash reports and incident management systems in order to determine their values.

By utilizing SPMs it is possible to identify areas that need improvement when compared with predetermined goals, measure the impact of changes over time and develop strategies for better utilization of resources for signaling infrastructure investment planning, operations and maintenance decision making. Therefore investments made towards improving signals will actually improve system performance leading to safer roads and improved mobility for all users.

It depends on your needs but it is generally recommended that you analyze your SPMs at least once per quarter or once every six months depending on the size of your network or complexity of your problem. Remember that SPMs need recent data which means that if documented changes have been made then frequent monitoring might be advised in order to track their effect on performance accurately over time.

Yes! There are many commercial applications such as Citywatch Gatewayâ„¢ or Streetlyticsâ„¢ which offer comprehensive platforms specifically designed for the analysis and monitoring of SPMS leveraging real-time data from multiple sources including AVCs ANPR's etc. These can save you lots of valuable time with their automated calculations so you can focus more on strategic decision making.

Yes! You certainly retain complete control over your own analytics no matter what software you utilize.Most modern Applications will allow you add additional parameters such as applying custom functions or weights for certain attributes so you can tweak them according to your own preferences.