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, ITSC 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1825-1830 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781467365956, 9781467365956, 9781467365956, 9781467365956 |
| DOIs | |
| 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 |
| ISSN (Print) | 2153-0009 |
| ISSN (Electronic) | 2153-0017 |
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 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 11 Sustainable Cities and Communities
Keywords
- Autonomous vehicles
- Dynamic lane reversal
- Dynamic traffic assignment
- System optimal
Fingerprint
Dive into the research topics of 'System Optimal Dynamic Lane Reversal for Autonomous Vehicles'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS