Optimal Road Traffic Operations for an Increasingly Autonomous and Connected Vehicle Fleet

Details

• Creators:
  Osorio, Carolina
• Corporate Creators:
  Massachusetts Institute of Technology
• Corporate Contributors:
  New England University Transportation Center ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  • Autonomous vehicles
  • Intelligent vehicles
  • Algorithms
  • Connected vehicles
  • Fleet management
  • Highway operations
  • Behavior
  • Calibration
  • Highway traffic control
  • Optimization
  More +
• Publication/ Report Number:
  MITR25-11
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Year 25 Final Report
• Corporate Publisher:
  New England University Transportation Center
• Abstract:
  The goal of this project is to develop decision-making tools that enhance our understanding of the intricate relationship between vehicle autonomy, traffic operations and congestion externalities. A detailed traffic simulation tool was used to investigate the relationship between vehicle autonomy, travel demand attributes (e.g., driver behavior), and network supply (e.g., prevailing traffic management strategies). The project carried out the following tasks. We have formulated, designed and prototyped, offline and online, calibration algorithms, such as to fit the input parameters of the new generation simulators that simulate both autonomous and/or connected vehicles. We then also formulated and implemented simulation-based optimization algorithms to address traffic management problems with mixed (i.e., autonomous and manually driven) traffic.
• Format:
  PDF
• Funding:
  DTRT13-G-UTC31
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/43885/dot_43885_DS1.pdf
• File Type:
  [PDF - 240.91 KB]
• Collection(s):
  Autonomous Vehicles ; University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:3be5cf30baf6b5ff0a45a3b6cc60d811ab2ef73a9d5235576101ec481b9d9cf46532314569e7f873cb2fe0153f47a3f9d144bce6c39a19db653231e441edb78c