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Lane change and merge maneuvers for connected and automated vehicles: A survey

  • David Bevly
  • , Xiaolong Cao
  • , Mikhail Gordon
  • , Guchan Ozbilgin
  • , David Kari
  • , Brently Nelson
  • , Jonathan Woodruff
  • , Matthew Barth
  • , Chase Murray
  • , Arda Kurt
  • , Keith Redmill
  • , Umit Ozguner
  • Auburn University
  • Ohio State University
  • University of California at Riverside

Research output: Contribution to journalArticlepeer-review

261 Scopus citations

Abstract

Intelligence in vehicles has developed through the years as self-driving expectations and capabilities have increased. To date, the majority of the literature has focused on longitudinal control topics (e.g. Adaptive Cruise Control (ACC), Cooperative ACC (CACC), etc.). To a lesser extent, there have been a variety of research articles specifically dealing with lateral control, e.g., maneuvers such as lane changes and merging. This paper provides a survey of this particular area of vehicle automation. The key topics addressed are control systems, positioning systems, communication systems, simulation modeling, field tests, surroundings vehicles, and human factors. Overall, there has been some successful research and field testing in lane change and merge maneuvers; however, there is a strong need for standardization and even more research to enable comprehensive field testing of these lateral maneuvers, so that commercial implementation of automated vehicles can be realized.

Original languageEnglish
Article number7515222
Pages (from-to)105-120
Number of pages16
JournalIEEE Transactions on Intelligent Vehicles
Volume1
Issue number1
DOIs
StatePublished - 2016

Keywords

  • Cooperative adaptive cruise control (CACC)
  • Dedicated short range communications (DSRC)
  • Differential global positioning system (DGPS)
  • Lane change and merge
  • Light detection and ranging (LiDAR)
  • Managed lanes
  • Model predictive control (MPC)
  • Platooning

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