A simple crowdsourced delay-based traffic signal control.

Current transportation management systems rely on physical sensors that use traffic volume and queue-lengths. These physical sensors incur significant capital and maintenance costs. The ubiquity of mobile devices has made possible access to accurate and cheap traffic delay data.

Correction: Characterizing multicity urban traffic conditions using crowdsourced data.

[This corrects the article DOI: 10.1371/journal.pone.

Characterizing multicity urban traffic conditions using crowdsourced data.

Road traffic congestion continues to manifest and propagate in cities around the world. The recent technological advancements in intelligent traveler information have a strong influence on the route choice behavior of drivers by enabling them to be more flexible in selecting their routes. Measuring traffic congestion in a city, understanding its spatial dispersion, and investigating whether the congestion patterns are stable (temporally, such as on a day-to-day basis) are critical to developing effective traffic management strategies.