Real-Time Traffic Management to Maximize Throughput of Automated Vehicles
In intelligent transportation systems, most of the research work has focused on lane change assistant systems. No existing work considers minimizing the disruption of traffic flow by maximizing the number of lane changes while eliminating the collisions. In this thesis, the authors develop qualitative and quantitative approaches for minimizing the disruption of traffic flow for three lane scenarios and show that this approach can be extended to an arbitrary number of lanes. The proposed algorithm is able to achieve the maximum number of lane changes. Simulation results show that this approach provides much better performance when compared with different lane change algorithms without incurring large overhead, and is hence suitable for online use.
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Supplemental Notes:
- This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
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Corporate Authors:
Utah State University, Logan
Utah Transportation Center
Logan, UT United States 84321 North Dakota State University
Fargo, ND United States 58108Research and Innovative Technology Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Authors:
- Chantem, Tam
- Desiraju, Divya
- Publication Date: 2015-3
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 31p
Subject/Index Terms
- TRT Terms: Algorithms; Highway traffic control systems; Intelligent transportation systems; Intelligent vehicles; Lane changing; Simulation; Traffic flow
- Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;
Filing Info
- Accession Number: 01560894
- Record Type: Publication
- Report/Paper Numbers: MPC 15-283
- Files: UTC, NTL, TRIS, RITA, ATRI, USDOT
- Created Date: Apr 24 2015 10:23AM