Mobility and Safety Analysis of Mixed Traffic with Connected and Autonomous Vehicles in Rural and Small Urban Area under Severe Weather Conditions

Autonomous vehicles (AVs) utilize a variety of sensor technologies to perceive their surroundings and make logical decisions based on the acquired information. However, real-world conditions such as coexist of connected and autonomous vehicles (CAVs) and human driving vehicles (HDVs) situation and adverse weather conditions including rain, snow, fog, and hail will present challenges that can hinder the functionality of AV sensors and subsequently diminish their performance. This research aims to analyze the mobility and safety implications of mixed traffic with connected and autonomous vehicles (CAVs) in rural and small urban areas under severe weather conditions. The methodology includes simulation studies and data analysis to assess mobility and safety performance. The expected results provide insights into the effectiveness of CAVs in mitigating severe weather challenges and improving multi-modal mobility. This research is expected to enhance the understanding of CAV behavior in adverse weather conditions in rural and small urban area, paving the way for safer and more efficient traffic management in the future.

Language

• English

Project

• Status: Active
• Funding: $150000
• Contract Numbers:

  CMMM-NDSUPL-2023-C0009

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  North Dakota State University

  P.O. Box 6050
  Fargo, ND  United States  58108-60050
• Project Managers:

  Lu, Pan

• Performing Organizations:

  North Dakota State University

  P.O. Box 6050
  Fargo, ND  United States  58108-60050
• Principal Investigators:

  Lu, Pan

• Start Date: 20230601
• Expected Completion Date: 20240531
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Sensors; Simulation; Traffic safety; Vehicle mix; Weather conditions
• Subject Areas: Highways; Planning and Forecasting; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01909496
• Record Type: Research project
• Source Agency: Center for Multi-Modal Mobility in Urban, Rural, and Tribal Areas (CMMM)
• Contract Numbers: CMMM-NDSUPL-2023-C0009
• Files: UTC, RIP
• Created Date: Feb 22 2024 4:15PM