Automated and Cooperative Vehicle Merging at Highway On-Ramps
Abstract
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.
- Authors:
-
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Energy and Transportation Science Division
- Publication Date:
- 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
- OSTI Identifier:
- 1311220
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- 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
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 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
Citation Formats
Rios-Torres, Jackeline, and Malikopoulos, Andreas A. Automated and Cooperative Vehicle Merging at Highway On-Ramps. United States: N. p., 2016.
Web. doi:10.1109/TITS.2016.2587582.
Rios-Torres, Jackeline, & Malikopoulos, Andreas A. Automated and Cooperative Vehicle Merging at Highway On-Ramps. United States. https://doi.org/10.1109/TITS.2016.2587582
Rios-Torres, Jackeline, and Malikopoulos, Andreas A. Fri .
"Automated and Cooperative Vehicle Merging at Highway On-Ramps". United States. https://doi.org/10.1109/TITS.2016.2587582. https://www.osti.gov/servlets/purl/1311220.
@article{osti_1311220,
title = {Automated and Cooperative Vehicle Merging at Highway On-Ramps},
author = {Rios-Torres, Jackeline and Malikopoulos, Andreas A.},
abstractNote = {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.},
doi = {10.1109/TITS.2016.2587582},
journal = {IEEE Transactions on Intelligent Transportation Systems},
number = ,
volume = ,
place = {United States},
year = {Fri Aug 05 00:00:00 EDT 2016},
month = {Fri Aug 05 00:00:00 EDT 2016}
}
Web of Science
Works referencing / citing this record:
Energy Saving Potentials of CAVs
book, August 2019
- Sciarretta, Antonio; Vahidi, Ardalan; Sciarretta, Antonio
- Energy-Efficient Driving of Road Vehicles: Toward Cooperative, Connected, and Automated Mobility, p. 1-31
A dynamic event-triggered H ∞ control for singular Markov jump systems with redundant channels
journal, December 2019
- Wang, Yanqian; Zhuang, Guangming; Chen, Fu
- International Journal of Systems Science, Vol. 51, Issue 1
A dynamic merge assistance method based on the concept of instantaneous virtual trajectory for vehicle-to-infrastructure connected vehicles
journal, February 2020
- Jiang, Xiaowen; Jin, Peter J.; Wang, Yizhou
- Journal of Intelligent Transportation Systems
Lane density optimisation of automated vehicles for highway congestion control
journal, January 2019
- Ramezani, Mohsen; Ye, Eric
- Transportmetrica B: Transport Dynamics, Vol. 7, Issue 1
A bi‐level model to optimize road networks for a mixture of manual and automated driving: An evolutionary local search algorithm
journal, August 2019
- Madadi, Bahman; Nes, Rob; Snelder, Maaike
- Computer-Aided Civil and Infrastructure Engineering, Vol. 35, Issue 1