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This content will become publicly available on August 5, 2017

Title: Automated and Cooperative Vehicle Merging at Highway On-Ramps

Recognition of necessities of connected and automated vehicles (CAVs) is gaining momentum. CAVs can improve both transportation network efficiency and safety through control algorithms that can harmonically use all existing information to coordinate the vehicles. This paper addresses the problem of optimally coordinating CAVs at merging roadways to achieve smooth traffic flow without stop-and-go driving. Here we present an optimization framework and an analytical closed-form solution that allows online coordination of vehicles at merging zones. The effectiveness of the efficiency of the proposed solution is validated through a simulation, and it is shown that coordination of vehicles can significantly reduce both fuel consumption and travel time.
 [1] ;  [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Energy and Transportation Science Division
Publication Date:
OSTI Identifier:
Grant/Contract Number:
Accepted Manuscript
Journal Name:
IEEE Transactions on Intelligent Transportation Systems
Additional Journal Information:
Journal Name: IEEE Transactions on Intelligent Transportation Systems; Journal ID: ISSN 1524-9050
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). National Transportation Research Center (NTRC)
Sponsoring Org:
USDOE Laboratory Directed Research and Development (LDRD) Program
Country of Publication:
United States
99 GENERAL AND MISCELLANEOUS; 42 ENGINEERING; 33 ADVANCED PROPULSION SYSTEMS; Connected and Automated Vehicles; Vehicle-to-Vehicle Communication; Vehicle-to-Infrastructure Communication; Cooperative Driving; Driver Feedback Systems; Vehicles; Merging; Roads; Fuels; Safety