A highway detection system may include a telematics device associated with a vehicle having one or more sensors arranged therein, a mobile device associated with a user traveling in the vehicle, and a server computer. The server computer may receive traveling data for a trip of the user from the one or more sensors and via the telematics device. The server computer may then determine whether the user is traveling within a city or on a highway based on analysis of the traveling data for the trip of the user, which may include a statistical analysis to calculate standard deviations of metrics in the traveling data. In response to the determination, the server computer may generate a notification to transmit to the user based on whether the user is traveling within a city or on a highway and transmit the notification to the mobile device associated with the user.

In an embodiment, a method includes receiving, by a processor of a mobile device, raw pedometer data from a pedometer included in or coupled to the mobile device. The processor receives raw GNSS data from a GNSS receiver included in or coupled to the mobile device. A first filter uses the raw pedometer data to estimate a step frequency of a user wearing or holding the mobile device. The processor determines a pace change from the estimated step frequency. Responsive to the pace change, the processor adapts a bandwidth of a second filter and estimates, by the second filter, an estimated pace or speed of the user.

A highway detection system may include a telematics device associated with a vehicle having one or more sensors arranged therein, a mobile device associated with a user traveling in the vehicle, and a server computer. The server computer may receive traveling data for a trip of the user from the one or more sensors and via the telematics device. The server computer may then determine whether the user is traveling within a city or on a highway based on analysis of the traveling data for the trip of the user, which may include a statistical analysis to calculate standard deviations of metrics in the traveling data. In response to the determination, the server computer may generate a notification to transmit to the user based on whether the user is traveling within a city or on a highway and transmit the notification to the mobile device associated with the user.

A highway detection system may include a telematics device associated with a vehicle having one or more sensors arranged therein, a mobile device associated with a user traveling in the vehicle, and a server computer. The server computer may receive traveling data for a trip of the user from the one or more sensors and via the telematics device. The server computer may then determine whether the user is traveling within a city or on a highway based on analysis of the traveling data for the trip of the user, which may include a statistical analysis to calculate standard deviations of metrics in the traveling data. In response to the determination, the server computer may generate a notification to transmit to the user based on whether the user is traveling within a city or on a highway and transmit the notification to the mobile device associated with the user.

A highway detection system may include a telematics device associated with a vehicle having one or more sensors arranged therein, a mobile device associated with a user traveling in the vehicle, and a server computer. The server computer may receive traveling data for a trip of the user from the one or more sensors and via the telematics device. The server computer may then determine whether the user is traveling within a city or on a highway based on analysis of the traveling data for the trip of the user, which may include a statistical analysis to calculate standard deviations of metrics in the traveling data. In response to the determination, the server computer may generate a notification to transmit to the user based on whether the user is traveling within a city or on a highway and transmit the notification to the mobile device associated with the user.

A highway detection system may include a telematics device associated with a vehicle having one or more sensors arranged therein, a mobile device associated with a user traveling in the vehicle, and a server computer. The server computer may receive traveling data for a trip of the user from the one or more sensors and via the telematics device. The server computer may then determine whether the user is traveling within a city or on a highway based on analysis of the traveling data for the trip of the user, which may include a statistical analysis to calculate standard deviations of metrics in the traveling data. In response to the determination, the server computer may generate a notification to transmit to the user based on whether the user is traveling within a city or on a highway and transmit the notification to the mobile device associated with the user.

The present disclosure provides a lift running speed measurement method and system. Record a q.sup.th start time of a lift when the lift starts on a start floor, and record a q.sup.th stop time and a q.sup.th floor number when the lift stops running on a q.sup.th destination floor. Compute a q.sup.th time difference between the q.sup.th stop time and the q.sup.th start time. If the q is less than the statistic times Q, record q=q+1 and return to carry out the step of starting the lift on the start floor; if the q is greater than or equal to the statistic times Q, respectively compute a difference between a time difference of each value from 2.sup.nd to Q.sup.th and a 1.sup.st time difference, and a difference between a floor number of each value from 2.sup.nd to Q.sup.th and a 1.sup.st floor number.

The present disclosure provides a lift running speed measurement method and system. Record a q.sup.th start time of a lift when the lift starts on a start floor, and record a q.sup.th stop time and a q.sup.th floor number when the lift stops running on a q.sup.th destination floor. Compute a q.sup.th time difference between the q.sup.th stop time and the q.sup.th start time. If the q is less than the statistic times Q, record q=q+1 and return to carry out the step of starting the lift on the start floor; if the q is greater than or equal to the statistic times Q, respectively compute a difference between a time difference of each value from 2.sup.nd to Q.sup.th and a 1.sup.st time difference, and a difference between a floor number of each value from 2.sup.nd to Q.sup.th and a 1.sup.st floor number.

In the present invention: a power consumption calculation unit sets target speeds in a plurality of sections of a track; the power consumption calculation unit calculates, on the basis of the target speeds, the power consumption when the track is traveled; a target speed change unit changes combinations of target speeds in the plurality of sections set by the power consumption calculation unit; an evaluation value calculation unit calculates an evaluation value on the basis of an evaluation function for each combination of target speeds; the evaluation function is a function in which the power consumption calculated by the power consumption calculation unit is multiplied by a prescribed weight; and a target speed determination unit sets the combination of target speeds in which the evaluation value is smallest as the target speed of the vehicle in each section.

Driving behavior for a particular driver may be gathered and analyzed over a time period, such as a year or a duration of the driver's employment at a particular employer. The driving behavior is received by a server from a positioning device as multiple streams of position data at different time stretches throughout the time period, each stream of position data associated with a route of a plurality of routes driven by at least one vehicle. The server generates speed data from the streams of position data and compares the speed data to retrieved speed limit data for those routes. The server generates a report with at least a speeding percentage value corresponding to how often the driver was speeding while driving during the time period. The report is then sent to the driver's computing device.