Context-based vehicle idling detection system
A system and method for monitoring vehicle idling events using contextual information. Engine operational data from a vehicle is monitored to detect idling states. When a parameter of the idling state exceeds a threshold value, the system obtains contextual data associated with the vehicle including camera feeds, location data, and environmental conditions. The contextual data is analyzed to determine operational conditions during the idling event. Based on the analysis, the system categorizes the idling state and generates reports that include the categorization and operational conditions. The system enables real-time detection and analysis of idling events by incorporating multiple data streams to accurately determine whether idling events are productive or unproductive.
1 . A method comprising:
monitoring engine operational data from a vehicle, the engine operational data indicating a vehicle idling state;
determining that a parameter of the vehicle idling state exceeds a threshold value, the parameter including a duration of the vehicle idling state;
responsive to determining that the parameter of the vehicle idling state exceeds the threshold value, triggering acquisition of contextual data associated with the vehicle, the contextual data including an environmental factor and auxiliary equipment operation status;
analyzing the contextual data to determine an operational condition;
categorizing the vehicle idling state based on the determined operational condition;
generating, based on the categorizing, a report that includes the categorization of the vehicle idling state and the operational condition, the report comprising a visualization that indicates a total idle time value and an idle time percentage for a selected time period; and
causing display of the report via a user interface.
2 . The method of claim 1 , wherein obtaining the contextual data comprises:
capturing image data from at least one camera mounted at the vehicle; and
analyzing the image data to determine at least one of:
driver presence in a vehicle cab of the vehicle; and
surrounding traffic conditions.
3 . The method of claim 1 , wherein the engine operational data comprises at least one of:
an engine revolution per minute (RPM) value greater than zero;
a vehicle speed value of zero; and
a throttle position value below a threshold percentage.
4 . The method of claim 1 , wherein obtaining the contextual data comprises:
determining a location of the vehicle; and
determining whether the location corresponds to a predefined zone type, wherein the zone type comprises at least one of:
a yard;
a highway; and
a city street.
5 . The method of claim 1 , wherein obtaining the contextual data comprises:
receiving temperature data; and
determining whether the temperature data falls within a predefined temperature range.
6 . The method of claim 1 , wherein categorizing the vehicle idle state comprises:
determining whether the vehicle idling state is productive or unproductive based on customizable rules associated with the operational condition.
7 . The method of claim 1 , further comprising:
generating an alert based on the categorization of the vehicle idling state; and
transmitting the alert to a client device.
8 . The method of claim 1 , wherein analyzing the contextual data comprises:
processing image data using machine learning to identify environmental conditions affecting the vehicle idling state.
9 . The method of claim 1 , wherein the report comprises:
a visualization of vehicle idling events categorized by location;
a breakdown of productive versus unproductive idling time; and
associated contextual information for each categorized vehicle idling state.
10 . The method of claim 1 , wherein the report comprises:
aggregating idling events based on location data;
generating a heatmap overlay based on the aggregated idling events; and
causing display of the heatmap overlay upon a map interface at a client device.
11 . A system comprising:
a memory; and
at least one hardware processor to perform operations comprising:
monitoring engine operational data from a vehicle, the engine operational data indicating a vehicle idling state;
determining that a parameter of the vehicle idling state exceeds a threshold value, the parameter including a duration of the vehicle idling state;
responsive to determining that the parameter of the vehicle idling state exceeds the threshold value, triggering acquisition of contextual data associated with the vehicle, the contextual data including an environmental factor and auxiliary equipment operation status;
analyzing the contextual data to determine an operational condition;
categorizing the vehicle idling state based on the determined operational condition;
generating, based on the categorizing, a report that includes the categorization of the vehicle idling state and the operational condition, the report comprising a visualization that indicates a total idle time value and an idle time percentage for a selected time period; and
causing display of the report via a user interface.
12 . The system of claim 11 , wherein obtaining the contextual data comprises:
capturing image data from at least one camera mounted at the vehicle; and
analyzing the image data to determine at least one of:
driver presence in a vehicle cab of the vehicle; and
surrounding traffic conditions.
13 . The system of claim 11 , wherein the engine operational data comprises at least one of:
an engine revolution per minute (RPM) value greater than zero;
a vehicle speed value of zero; and
a throttle position value below a threshold percentage.
14 . The system of claim 11 , wherein obtaining the contextual data comprises:
determining a location of the vehicle; and
determining whether the location corresponds to a predefined zone type, wherein the zone type comprises at least one of:
a yard;
a highway; and
a city street.
15 . The system of claim 11 , wherein obtaining the contextual data comprises:
receiving temperature data; and
determining whether the temperature data falls within a predefined temperature range.
16 . The system of claim 11 , wherein categorizing the vehicle idling state comprises:
determining whether the vehicle idling state is productive or unproductive based on customizable rules associated with the operational condition.
17 . The system of claim 11 , further comprising:
generating an alert based on the categorization of the vehicle idling state; and
transmitting the alert to a client device.
18 . The system of claim 11 , wherein analyzing the contextual data comprises:
processing image data using machine learning to identify environmental conditions affecting the vehicle idling state.
19 . The system of claim 11 , wherein the report comprises:
a visualization of vehicle idling events categorized by location;
a breakdown of productive versus unproductive idling time; and
associated contextual information for each categorized vehicle idling state.
20 . A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:
monitoring engine operational data from a vehicle, the engine operational data indicating a vehicle idling state;
determining that a parameter of the vehicle idling state exceeds a threshold value, the parameter including a duration of the vehicle idling state;
responsive to determining that the parameter of the vehicle idling state exceeds the threshold value, triggering acquisition of contextual data associated with the vehicle, the contextual data including an environmental factor and auxiliary equipment operation status;
analyzing the contextual data to determine an operational condition;
categorizing the vehicle idling state based on the determined operational condition;
generating, based on the categorizing, a report that includes the categorization of the vehicle idling state and the operational condition, the report comprising a visualization that indicates a total idle time value and an idle time percentage for a selected time period; and
causing display of the report via a user interface.