System Optimal Dynamic Lane Reversal for Autonomous Vehicles

Melissa Duell; Michael W. Levin; Stephen D. Boyles; S. Travis Waller

doi:10.1109/ITSC.2015.296

System Optimal Dynamic Lane Reversal for Autonomous Vehicles

Melissa Duell, Michael W. Levin, Stephen D. Boyles, S. Travis Waller

Civil, Environmental, and Geo- Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Scopus citations

Abstract

Transformative technologies such as autonomous vehicles (AVs) create an opportunity to reinvent features of the traffic network to improve efficiency. The focus of this work is dynamic lane reversal: using AV communications and behavior to change the direction vehicles are allowed to travel on a road lane with much greater frequency than would be possible with human drivers. This work presents a novel methodology based on the linear programming formulation of dynamic traffic assignment using the cell transmission model for solving the system optimal (SO) problem. The SO assignment is chosen because the communications and behavior protocols necessary to operate AV intersection and lane reversal controls could be used to assign routes and optimize network performance. This work expands the model to determine the optimal direction of lanes at small space-time intervals. Model assumptions are outlined and discussed. Results demonstrate the model and explore the dynamic demand scenarios which are most conducive to increasing system efficiency with dynamic lane reversal.

Original language	English (US)
Title of host publication	Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems
Subtitle of host publication	Smart Mobility for Safety and Sustainability, ITSC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1825-1830
Number of pages	6
ISBN (Electronic)	9781467365956, 9781467365956, 9781467365956, 9781467365956
DOIs	https://doi.org/10.1109/ITSC.2015.296
State	Published - Oct 30 2015
Event	18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015 - Gran Canaria, Spain Duration: Sep 15 2015 → Sep 18 2015

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume	2015-October

Other

Other	18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015
Country/Territory	Spain
City	Gran Canaria
Period	9/15/15 → 9/18/15

Keywords

Autonomous vehicles
Dynamic lane reversal
Dynamic traffic assignment
System optimal

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Publisher link

10.1109/ITSC.2015.296

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Duell, M., Levin, M. W., Boyles, S. D., & Waller, S. T. (2015). System Optimal Dynamic Lane Reversal for Autonomous Vehicles. In Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems: Smart Mobility for Safety and Sustainability, ITSC 2015 (pp. 1825-1830). Article 7313388 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2015-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2015.296

System Optimal Dynamic Lane Reversal for Autonomous Vehicles. / Duell, Melissa; Levin, Michael W.; Boyles, Stephen D. et al.
Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems: Smart Mobility for Safety and Sustainability, ITSC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1825-1830 7313388 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2015-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Duell, M, Levin, MW, Boyles, SD & Waller, ST 2015, System Optimal Dynamic Lane Reversal for Autonomous Vehicles. in Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems: Smart Mobility for Safety and Sustainability, ITSC 2015., 7313388, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, vol. 2015-October, Institute of Electrical and Electronics Engineers Inc., pp. 1825-1830, 18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015, Gran Canaria, Spain, 9/15/15. https://doi.org/10.1109/ITSC.2015.296

Duell M, Levin MW, Boyles SD, Waller ST. System Optimal Dynamic Lane Reversal for Autonomous Vehicles. In Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems: Smart Mobility for Safety and Sustainability, ITSC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1825-1830. 7313388. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). doi: 10.1109/ITSC.2015.296

Duell, Melissa ; Levin, Michael W. ; Boyles, Stephen D. et al. / System Optimal Dynamic Lane Reversal for Autonomous Vehicles. Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems: Smart Mobility for Safety and Sustainability, ITSC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1825-1830 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

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abstract = "Transformative technologies such as autonomous vehicles (AVs) create an opportunity to reinvent features of the traffic network to improve efficiency. The focus of this work is dynamic lane reversal: using AV communications and behavior to change the direction vehicles are allowed to travel on a road lane with much greater frequency than would be possible with human drivers. This work presents a novel methodology based on the linear programming formulation of dynamic traffic assignment using the cell transmission model for solving the system optimal (SO) problem. The SO assignment is chosen because the communications and behavior protocols necessary to operate AV intersection and lane reversal controls could be used to assign routes and optimize network performance. This work expands the model to determine the optimal direction of lanes at small space-time intervals. Model assumptions are outlined and discussed. Results demonstrate the model and explore the dynamic demand scenarios which are most conducive to increasing system efficiency with dynamic lane reversal.",

keywords = "Autonomous vehicles, Dynamic lane reversal, Dynamic traffic assignment, System optimal",

author = "Melissa Duell and Levin, {Michael W.} and Boyles, {Stephen D.} and Waller, {S. Travis}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; 18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015 ; Conference date: 15-09-2015 Through 18-09-2015",

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AB - Transformative technologies such as autonomous vehicles (AVs) create an opportunity to reinvent features of the traffic network to improve efficiency. The focus of this work is dynamic lane reversal: using AV communications and behavior to change the direction vehicles are allowed to travel on a road lane with much greater frequency than would be possible with human drivers. This work presents a novel methodology based on the linear programming formulation of dynamic traffic assignment using the cell transmission model for solving the system optimal (SO) problem. The SO assignment is chosen because the communications and behavior protocols necessary to operate AV intersection and lane reversal controls could be used to assign routes and optimize network performance. This work expands the model to determine the optimal direction of lanes at small space-time intervals. Model assumptions are outlined and discussed. Results demonstrate the model and explore the dynamic demand scenarios which are most conducive to increasing system efficiency with dynamic lane reversal.

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System Optimal Dynamic Lane Reversal for Autonomous Vehicles

Abstract

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Keywords

UN SDGs

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