Greenroad Driving Technologies Ltd.

Ofer Nissim Raz

Oren Musicant

Itamar Mulchadsky

Hod Fleishman

Yaakov Hayun

Methods and systems are provided for determining a value of an event performance variable associated with a driving event, and/or for determining a session performance variable associated with at least one driving session. The method comprising: identifying a driving event which occurred during a driving session of a vehicle; providing a plurality of indicators associated with such a driving event; retrieving respective values for each of the plurality of indicators from one or more sensors located in the vehicle being driven; providing a mathematical relationship that represents the event performance variable as a function of the plurality of indicators, wherein the mathematical relationship represents an event of the type characterizing the identified driving event; and determining value of the event performance variable based on the mathematical relationship provided, by applying the values retrieved for each of the plurality of indicators.

Methods and systems for determining driving performance variables

A method is described for providing an advanced indication to a driver that a road segment which will require his attention is located along his route. The method comprising: a) detecting the vehicle's current location and identifying a road segment that the driver is about to reach; b) for the identified road segment, retrieving values of driving performance parameters associated therewith; c) evaluating whether any of the retrieved values exceeds a pre-defined threshold, and based on that evaluation, determining whether the identified road segment is a low service level segment and thus would require the driver's attention; and d) providing the driver with an advanced indication indicating the road segment which has been determined as being a segment of a low service level for the driver.

Method and device for providing advanced indications to a vehicle's driver

A data processing system which comprises: a first sensor adapted to provide indications of a first type on a vehicle's engine operational mode; a second sensor adapted to provide indications of a second type related to the vehicle movement; and a processor adapted to identify one or more vehicle idling periods, based on at least one indication of the first type and at least one indication of the second type.

Idle detection for improving fuel consumption efficiency in a vehicle

A method is provided for evaluating fuel consumption efficiency of a vehicle driven by a driver. The method comprises the steps of: a) collecting data associated with said driver's driving performance from a plurality of sensors comprised in the vehicle; b) identifying a plurality of driving events based on the collected data; c) estimating the driver's performance in at least one driving event from among the identified plurality of driving events, wherein that at least one event if poorly performed is associated with increased fuel consumption; and d) based on the estimated driver's performance of the at least one driving event, evaluating a fuel consumption efficiency of the vehicle driven by that driver.

Method and device for evaluating vehicle's fuel consumption efficiency

The invention provides a system for analyzing and evaluating the performance and behavior of a driver of a vehicle, and for displaying the results of the analysis and evaluation. A vehicle sensor utility is used to monitor the state of the vehicle while being driven by the driver. A raw data stream from the vehicle sensor utility is input to a driving event handler that detects driving events in the raw data stream and outputs to a maneuver detector a driving event string. The maneuver detector is configured to recognize patterns of driving maneuvers. One or more ratings of the driver's driving performance are calculated based upon the driving maneuvers as executed by the driver. The ratings are displayed on a display.

System and method for displaying a driving profile

A system and method for analyzing and evaluating the performance and attitude of a motor vehicle driver. A raw data stream from a set of vehicle sensors is filtered to eliminate extraneous noise, and then parsed to convert the stream into a string of driving event primitives. The string of driving events is then processed by a pattern-recognition system to derive a sequence of higher-level driving maneuvers. Driving maneuvers include such familiar procedures as lane changing, passing, and turn and brake. Driving events and maneuvers are quantified by parameters developed from the sensor data. The parameters and timing of the maneuvers can be analyzed to determine skill and attitude factors for evaluating the driver's abilities and safety ratings. The rendering of the data into common driving-related concepts allows more accurate and meaningful analysis and evaluation than is possible with ordinary statistical threshold-based analysis.

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Tel Aviv, Israel

Ofer Nissim Raz