@article{ref1,
title="Tradeoffs between safety and time: a routing view",
journal="Transportation research part C: emerging technologies",
year="2019",
author="Carmody, Daniel R. and Sowers, Richard B.",
volume="108",
number="",
pages="357-377",
abstract="This article proposes a data-driven combination of travel times, distance, and collision counts in urban mobility datasets, with the goal of quantifying how intertwined traffic accidents are in the road network of a city. We devise a bi-attribute routing problem to capture the tradeoff between travel time and accidents. We apply this to a dataset from New York City. By visualizing the results of this computation in a normalized way, we provide a comparative tool for studies of urban traffic.<p /> <p>Language: en</p>",
language="en",
issn="0968-090X",
doi="10.1016/j.trc.2019.09.020",
url="http://dx.doi.org/10.1016/j.trc.2019.09.020"
}