Method, apparatus, and system of providing zone-to-zone trip reliability analysis using probe data

An apparatus 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,
• determine probe data collected from a plurality of sensors of a plurality of probe vehicles traveling in a geographic area of interest;
• process the probe data to determine a plurality of vehicle trips;
• cluster the plurality of vehicle trips into one or more zone-to-zone trip categories based on origin zones and destination zones of the plurality of vehicle trips;
• for each zone-to-zone trip category of the one or more zone-to-zone trip categories, compute, using a parallelized compute infrastructure, a zone-to-zone trip category reliability metric based on the plurality of vehicle trips clustered into each zone-to-zone trip category, wherein the parallelized compute infrastructure partitions the plurality of vehicle trips into distinct data partitions corresponding to the distinct zones and applies compute resources to concurrently process the distinct data partitions of the plurality of vehicle trips, and wherein the reliability metric comprises a statistical measure of a variability of zone-to-zone travel times for the plurality of vehicle trips clustered into each zone-to-zone trip category;
• and
• provide the zone-to-zone trip category reliability metric for each zone-to-zone trip category as an output.

A non-transitory computer-readable storage medium carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to perform:

• determining probe data collected from a plurality of sensors of a plurality of probe vehicles traveling in a geographic area of interest;
• processing the probe data to determine a plurality of vehicle trips;
• clustering the plurality of vehicle trips into one or more zone-to-zone trip categories based on origin zones and destination zones of the plurality of vehicle trips;
• for each zone-to-zone trip category of the one or more zone-to-zone trip categories, computing, using a parallelized compute infrastructure, a zone-to-zone trip category reliability metric based on the plurality of vehicle trips clustered into each zone-to-zone trip category, wherein the parallelized compute infrastructure partitions the plurality of vehicle trips into distinct data partitions corresponding to the distinct zones and applies compute resources to concurrently process the distinct data partitions of the plurality of vehicle trips, and wherein the reliability metric comprises a statistical measure of a variability of zone-to-zone travel times for the plurality of vehicle trips clustered into each zone-to-zone trip category;
• and
• providing the zone-to-zone trip category reliability metric for each zone-to-zone trip category as an output.