Method, apparatus, and system for detecting venue trips and related road traffic

Abstract

An approach is provided for detecting venue trips and related road traffic. The approach involves, for example, processing probe data to identify a trip related to the venue. The trip is traveled by a probe vehicle generating the probe data within a timeframe associated with an event occurring at the venue. The approach also involves generating an influence graph comprising one or more roads used by the probe vehicle during the trip. The approach further involves determining a traffic parameter for the one or more roads of the influence graph. The approach further involves computing a traffic impact score for the venue, the event, or a combination thereof based on the traffic parameter.

What is claimed is: 
     
         1 . A computer-implemented method comprising:
 collecting probe data from at least one probe vehicle traveling to or from a venue;   processing, by a processor, the probe data to determine one or more roads used by the at least one probe vehicle; and   computing, by the processor, a traffic impact score for the venue based on traffic data associated with the one or more roads.   
     
     
         2 . The method of  claim 1 , further comprising:
 determining an event type of an event occurring at the venue during the traveling by the at least one probe vehicle to or from the venue; and   determining a detection time window for collecting the probe data based on the event type.   
     
     
         3 . The method of  claim 2 , further comprising:
 determining an allowed-arrive timeframe and an allowed-leave timeframe for the probe data that are non-overlapping based on determining that the event type is a static event.   
     
     
         4 . The method of  claim 2 , further comprising:
 determining an allowed-arrive timeframe and an allowed-leave timeframe for the probe data that are overlapping based on determining that the event type is a flowing event.   
     
     
         5 . The method of  claim 1 , further comprising:
 providing data for presenting a traffic management user interface based on the traffic impact score for the venue.   
     
     
         6 . The method of  claim 2 , wherein the traffic management user interface presents a ranking of the venue among at least one other venue based on the traffic impact score. 
     
     
         7 . The method of  claim 1 , further comprising:
 determining a change in the traffic data,   wherein the traffic impact score is based on the change.   
     
     
         8 . The method of  claim 1 , further comprising:
 determining a traffic state of the at least one probe vehicle based on a speed, an interprobe time frequency, an interprobe distance, or a combination thereof indicated in the probe data,   wherein the traffic data is based on the traffic state.   
     
     
         9 . The method of  claim 1 , wherein the traffic state includes a traffic congestion state, a vehicle stopped or parked state, or a combination thereof. 
     
     
         10 . The method of  claim 1 , further comprising:
 determining that the at least one probe vehicle is traveling to or from the venue based on the probe data indicating the at least one probe vehicle has stopped or parked within a threshold proximity of the venue, a parking spot or a parking facility associated with the venue, or a combination thereof.   
     
     
         11 . An apparatus for detecting road traffic resulting from a venue comprising:
 at least one processor; and   at least one memory including computer program code for one or more programs,   the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,
 collect probe data from at least one probe vehicle traveling to or from a venue; 
 process, by a processor, the probe data to determine one or more roads used by the at least one probe vehicle; and compute, by the processor, a traffic impact score for the venue based on traffic data associated with the one or more roads. 
   
     
     
         12 . The apparatus of  claim 11 , wherein the apparatus is further caused to:
 determine an event type of an event occurring at the venue during the traveling by the at least one probe vehicle to or from the venue; and   determine a detection time window for collecting the probe data based on the event type.   
     
     
         13 . The apparatus of  claim 12 , wherein the apparatus is further caused to:
 determine an allowed-arrive timeframe and an allowed-leave timeframe for the probe data that are non-overlapping based on determining that the event type is a static event.   
     
     
         14 . The apparatus of  claim 12 , wherein the apparatus is further caused to:
 determine an allowed-arrive timeframe and an allowed-leave timeframe for the probe data that are overlapping based on determining that the event type is a flowing event.   
     
     
         15 . The apparatus of  claim 11 , wherein the apparatus is further caused to:
 provide data for presenting a traffic management user interface based on the traffic impact score for the venue.   
     
     
         16 . A non-transitory computer-readable storage medium for detecting road traffic resulting from a venue, carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to perform:
 collecting probe data from at least one probe vehicle traveling to or from a venue;   processing, by a processor, the probe data to determine one or more roads used by the at least one probe vehicle; and   computing, by the processor, a traffic impact score for the venue based on traffic data associated with the one or more roads.   
     
     
         17 . The non-transitory computer-readable storage medium of  claim 16 , further comprising:
 determining an event type of an event occurring at the venue during the traveling by the at least one probe vehicle to or from the venue; and   determining a detection time window for collecting the probe data based on the event type.   
     
     
         18 . The non-transitory computer-readable storage medium of  claim 17 , further comprising:
 determining an allowed-arrive timeframe and an allowed-leave timeframe for the probe data that are non-overlapping based on determining that the event type is a static event.   
     
     
         19 . The non-transitory computer-readable storage medium of  claim 17 , further comprising:
 determining an allowed-arrive timeframe and an allowed-leave timeframe for the probe data that are overlapping based on determining that the event type is a flowing event.   
     
     
         20 . The non-transitory computer-readable storage medium of  claim 16 , further comprising:
 providing data for presenting a traffic management user interface based on the traffic impact score for the venue.