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

Journal Article · · IEEE Transactions on Intelligent Transportation Systems
 [1];  [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Energy and Transportation Science Division
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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.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). National Transportation Research Center (NTRC)
Sponsoring Organization:
USDOE Laboratory Directed Research and Development (LDRD) Program
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1311220
Journal Information:
IEEE Transactions on Intelligent Transportation Systems, Journal Name: IEEE Transactions on Intelligent Transportation Systems; ISSN 1524-9050
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 200 works
Citation information provided by
Web of Science

Cited By (5)

Energy Saving Potentials of CAVs book August 2019
A dynamic event-triggered H ∞ control for singular Markov jump systems with redundant channels journal December 2019
A dynamic merge assistance method based on the concept of instantaneous virtual trajectory for vehicle-to-infrastructure connected vehicles journal February 2020
Lane density optimisation of automated vehicles for highway congestion control journal January 2019
A bi‐level model to optimize road networks for a mixture of manual and automated driving: An evolutionary local search algorithm journal August 2019

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Related Subjects

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