Surface street traffic estimation

In this paper, we propose a simple yet effective method of identifying traffic conditions on surface streets given location traces collected from on-road vehicles--this requires only GPS location data, plus infrequent low-bandwidth cellular updates. Unlike other systems, which simply display vehicle speeds on the road, our system characterizes unique traffic patterns on each road segment and identifies unusual traffic states on a segment-by-segment basis. We developed and evaluated the system by applying it to two sets of location traces. Evaluation results show that higher than 90% accuracy in characterization can be achieved after ten or more traversals are collected on a given road segment. We also show that traffic patterns on a road are very consistent over time, provided that the underlying road conditions do not change. This allows us to use a longer history in identifying traffic conditions with higher accuracy. Categories and Subject Descriptors H.2 [DATABASE MANAGEMENT]: Dat...

• Type: Conference
• Year: 2007
• Where: MOBISYS
• Authors: Jungkeun Yoon, Brian Noble, Mingyan Liu
• Keywords: Measurement Keywords Traffic, MOBISYS 2007, Traffic Conditions, Unique Traffic Patterns, Wireless Networks