Real-time traffic management to maximize throughput of automated vehicles.

Details

• Creators:
  Chantem, Tam ; Desiraju, Divya
• Corporate Creators:
  Utah Transportation Center
• Corporate Contributors:
  United States. Department of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Highway traffic control
  • Real time information
  • Lane changing
  • Traffic flow
  • Algorithms
  • Simulation
  • Intelligent vehicles
  • Intelligent transportation systems
• Publication/ Report Number:
  MPC 15-283
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Mountain-Plains Consortium
• Abstract:
  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, we develop qualitative and quantitative ; approaches for minimizing the disruption of traffic flow for three lane scenarios and show that we can ; extend our approach to an arbitrary number of lanes. The proposed algorithm is able to achieve the ; maximum number of lane changes. Simulation results show that our approach provides much better ; performance when compared with different lane change algorithms without incurring large overhead, and ; is hence suitable for online use.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28783/dot_28783_DS1.pdf
• File Type:
  [PDF - 1.47 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:07f099273b7a0a756b5c765fca4c414786469df914803c6fbb8a92d0c6f122c0180da492659b6ead73102847b1a44abd072cf957407ac076431e6438566ceb1b