Tradeoffs between safety and time: A routing view

Daniel R. Carmody, Richard B. Sowers

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)357-377
Number of pages21
JournalTransportation Research Part C: Emerging Technologies
Volume108
DOIs
StatePublished - Nov 2019

Keywords

  • Accidents
  • Intelligent urban navigation
  • Optimization
  • Routing
  • Safety
  • Smart city

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Automotive Engineering
  • Transportation
  • Computer Science Applications

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