Assessing road traffic speed using data from multiple data sources

摘要

Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment based on obtained data samples may include various filtering and/or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).

主权项

1. A computer-implemented method comprising:
receiving, by one or more configured computing systems, multiple data samples that reflect speeds of multiple vehicles traveling on a road, the multiple data samples including information reported by multiple mobile devices on the road; automatically analyzing, by the one or more configured computing systems, the multiple data samples to estimate an average traffic speed of vehicles traveling on the road based at least in part on combining the speeds of the multiple data samples in a weighted manner using multiple distinct weights associated with the multiple data samples; and providing, by the one or more configured computing systems, an indication of the estimated average traffic speed, to enable use of the indicated estimated average traffic speed in facilitating vehicle travel.