Understanding road usage patterns in urban areas.

Author(s)
Wang, P. Hunter, T. Bayen, A.M. Schechtner, K. & González, M.C.
Year
Abstract

In this paper, the most complete record of daily mobility is combined, based on large-scale mobile phone data, with detailed Geographic Information System (GIS) data, uncovering previously hidden patterns in urban road usage. The authors find that the major usage of each road segment can be traced to its own - surprisingly few - driver sources. Based on this finding a network is proposed of road usage by defining a bipartite network framework, demonstrating that in contrast to traditional approaches, which define road importance solely by topological measures, the role of a road segment depends on both: its betweeness and its degree in the road usage network. Moreover, our ability to pinpoint the few driver sources contributing to the major traffic flow allows us to create a strategy that achieves a significant reduction of the travel time across the entire road system, compared to a benchmark approach. (Author/publisher)

Publication

Library number
20130182 ST [electronic version only]
Source

Nature Scientific Reports, Vol. 2 (2012), Article number 1001, 6 p., 32 ref.

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.