Methods, systems and computer program products to detect distracted driving are disclosed. A mobile device is associated with a vehicle driver. Suspect activity associated with the vehicle driver is detected based at least in part on mobile device use data collected by the mobile device. A suspect activity record is generated comprising mobile device use data associated with the detected suspect activity. The suspect activity record and an identifier of the vehicle driver are provided to a repository.

Methods, systems and computer program products to detect distracted driving are disclosed. A mobile device is associated with a vehicle driver. Suspect activity associated with the vehicle driver is detected based at least in part on mobile device use data collected by the mobile device. A suspect activity record is generated comprising mobile device use data associated with the detected suspect activity. The suspect activity record and an identifier of the vehicle driver are provided to a repository.

A data logger device for monitoring operation of a flexible lance drive apparatus is disclosed that includes a cylindrical housing removably connected to an air fluid pressure line to the drive apparatus, a circuit board mounted in the housing, a pressure sensing switch mounted on the circuit board and communicating with the fluid in the pressure line, and a processor and memory on the board operable to log time at which the switch changes state between two predetermined states.

Methods, systems and computer program products to detect distracted driving are disclosed. A mobile device is associated with a vehicle driver. Suspect activity associated with the vehicle driver is detected based at least in part on mobile device use data collected by the mobile device. A suspect activity record is generated comprising mobile device use data associated with the detected suspect activity. The suspect activity record and an identifier of the vehicle driver are provided to a repository.

Methods, systems and computer program products to detect distracted driving are disclosed. A mobile device is associated with a vehicle driver. Suspect activity associated with the vehicle driver is detected based at least in part on mobile device use data collected by the mobile device. A suspect activity record is generated comprising mobile device use data associated with the detected suspect activity. The suspect activity record and an identifier of the vehicle driver are provided to a repository.

A method and system for detecting unsafe or suspect activities such as distracted driving associates distracted driving events to the road type, vehicle speed and vehicle acceleration (positive, negative and lateral) at the time of the distracted driving event, and identifies severe distracted driving events from a large population of minor events using a statistical distribution such as a Cauchy distribution equation. The system employs a smartphone application (App) coupled with a central server that computes driver safety scores which relate time of day, road type, vehicle speed, vehicle acceleration (positive, negative and lateral) and distracted driving using the Cauchy distribution equation. The server renders summary and detail reports of driving scores and distracted driving events to concerned parties including insurance companies, fleet managers, vehicle owners and the parents/guardians of teenaged drivers.

A method and system for detecting unsafe or suspect activities such as distracted driving associates distracted driving events to the road type, vehicle speed and vehicle acceleration (positive, negative and lateral) at the time of the distracted driving event, and identifies severe distracted driving events from a large population of minor events using a statistical distribution such as a Cauchy distribution equation. The system employs a smartphone application (App) coupled with a central server that computes driver safety scores which relate time of day, road type, vehicle speed, vehicle acceleration (positive, negative and lateral) and distracted driving using the Cauchy distribution equation. The server renders summary and detail reports of driving scores and distracted driving events to concerned parties including insurance companies, fleet managers, vehicle owners and the parents/guardians of teenaged drivers.

A method and system for detecting unsafe or suspect activities such as distracted driving associates distracted driving events to the road type, vehicle speed and vehicle acceleration (positive, negative and lateral) at the time of the distracted driving event, and identifies severe distracted driving events from a large population of minor events using a statistical distribution such as a Cauchy distribution equation. The system employs a smartphone application (App) coupled with a central server that computes driver safety scores which relate time of day, road type, vehicle speed, vehicle acceleration (positive, negative and lateral) and distracted driving using the Cauchy distribution equation. The server renders summary and detail reports of driving scores and distracted driving events to concerned parties including insurance companies, fleet managers, vehicle owners and the parents/guardians of teenaged drivers.

A method and system for detecting unsafe or suspect activities such as distracted driving associates distracted driving events to the road type, vehicle speed and vehicle acceleration (positive, negative and lateral) at the time of the distracted driving event, and identifies severe distracted driving events from a large population of minor events using a statistical distribution such as a Cauchy distribution equation. The system employs a smartphone application (App) coupled with a central server that computes driver safety scores which relate time of day, road type, vehicle speed, vehicle acceleration (positive, negative and lateral) and distracted driving using the Cauchy distribution equation. The server renders summary and detail reports of driving scores and distracted driving events to concerned parties including insurance companies, fleet managers, vehicle owners and the parents/guardians of teenaged drivers.

An environmental data recorder includes an enclosure, a first acceleration recorder array positioned on a first inner surface of the enclosure corresponding to an x-z plane defined by an x-axis and a z-axis, a second acceleration recorder array positioned on a second inner surface of the enclosure corresponding to an x-y plane defined by the x-axis and a y-axis, and a third acceleration recorder array positioned on a third inner surface of the enclosure corresponding to a y-z plane defined by the y-axis and the z-axis. The x-axis, the y-axis, and the z-axis are orthogonal axes. The first, second, and third acceleration recorder arrays each include a plurality of beams cantilevered at first ends from a base attached to an inner surface of the enclosure and a plurality of known masses associated with the beams. The beams are configured to deform or break when exposed to different g loads.