Abstract: Vehicle operations data is received from a plurality of data capturing devices installed at a plurality of transport vehicles. The vehicle operations data is representative of sensor output captured by the data capturing devices. Data sets are processed to obtain different vehicle safety metrics defined by the different types of sensors. An indication of non-conformance can be output when a compared vehicle safety metric does not conform to a threshold. Vehicle safety metrics can be combined into a combined representation of a categorical aspect of vehicle safety, which can be dynamically updated whenever a metric is added or removed. Combined representations can be filtered or grouped according to a reporting criterion to generate reports for drivers, units, company divisions, and the like. Vehicle operations data can be converted from multiple different formats used by different data sources to a common format used for processing metrics and combined representations.

Abstract: Vehicle operations data is received from a plurality of data capturing devices installed at a plurality of transport vehicles. The vehicle operations data is representative of sensor output captured by the data capturing devices. Data sets are processed to obtain different vehicle safety metrics defined by the different types of sensors. An indication of non-conformance can be output when a compared vehicle safety metric does not conform to a threshold. Vehicle safety metrics can be combined into a combined representation of a categorical aspect of vehicle safety, which can be dynamically updated whenever a metric is added or removed. Combined representations can be filtered or grouped according to a reporting criterion to generate reports for drivers, units, company divisions, and the like. Vehicle operations data can be converted from multiple different formats used by different data sources to a common format used for processing metrics and combined representations.