Dynamic Coordinated Speed Control and Synergistic Performance Evaluation in Connected and Automated Vehicle Environment

Details

• Creators:
  Fan, Wei ; Hua, Chengying
• Corporate Creators:
  University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education ; University of North Carolina at Charlotte. Department of Civil and Environmental Engineering
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Automatic speed control
  • Autonomous vehicles
  • Connected vehicles
  • Impacts
  • Machine learning
  • Manual control
  • Market penetration
  • Motor vehicles
  • Optimization
  • Traffic congestion
  More +
• Publication/ Report Number:
  2022 Project 16
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education
• Abstract:
  In the vicinity of weaving areas, freeway congestion is nearly unavoidable due to their negative effects on the continuous freeway mainline flow. The adverse impacts include increased collision risks, extended travel time, and excessive emissions and fuel consumption. Dynamic Speed Harmonization (DSH), which is also known as Variable Speed Limit (VSL), has the potential to dampen traffic oscillation during congestion. However, the effectiveness of this strategy is typically limited by the low compliance rates of drivers and potential delays in information transmission and dissemination, and that control strategies can only affect a small area. Fortunately, new opportunities are emerging with the development of Connected and Automated Vehicles (CAVs) that can completely comply with the control system. CAVs can greatly help complement the intelligent transportation systems to enhance a variety of Measures of Effectiveness (MOEs), such as safety, mobility, and environmental sustainability.
• Format:
  PDF
• Funding:
  69A3551747133
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/77809/dot_77809_DS1.pdf
• File Type:
  [PDF - 1.75 MB]
• Collection(s):
  Autonomous Vehicles ; University Transportation Centers
• Main Document Checksum:
  urn:sha-512:41cbc6b63a9df7e5d9dad1d21051fd8af0f27d51a17ff7b1fa0a12576e98a3082fece581ccb91eb4ed88a89655b2bf1e7b9404295e997a51646caae036c85522