Hierarchical Anomaly Behavior Management System with Connected Vehicles

Passenger vehicles operated by anomalous drivers, who are distracted on roads and perform errorable driving behaviors, result in increased risk of collisions to themselves and their surrounding vehicles. It become very urgent to manage the behaviors of anomalous vehicles to mitigate their impact on driving safety. In this paper, an anomaly behavior management system is developed with the help of connected vehicles to improve safety performance of both individual vehicles and whole networks. A hierarchical architecture is integrated with the proposed system to reduce the risk of collision caused by anomaly vehicles in large-scale road networks. The connected vehicles are applied to monitor anomaly vehicles and estimates speed and lane-changing instructions for connected vehicles to avoid dangerous behaviors. A microscopic traffic simulation is applied to evaluate the benefits of the proposed system on reducing the risk of collisions and improving mobility for both connected vehicles and whole networks. In addition, a sensitivity analysis of market penetration rates of connected vehicles and traffic demand levels will be conducted to understand the reliability of the system at different development stages of connected vehicles and traffic congestion.

• Record URL:
  https://annualmeeting.mytrb.org/OnlineProgram/Details/15870
• Supplemental Notes:
  • This paper was sponsored by TRB committee ACP80 Standing Committee on Traffic Simulation Committee.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Yang, Hao
  • Oguchi, Kentaro
  • Ucar, Seyhan
• Conference:
  • Transportation Research Board 100th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2021-1-5 to 2021-1-29
• Date: 2021

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 18p

Subject/Index Terms

• TRT Terms: Behavior; Connected vehicles; Drivers; Highway safety; Probability; Rear end crashes; Sensitivity analysis; Traffic crashes; Traffic simulation
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01764039
• Record Type: Publication
• Report/Paper Numbers: TRBAM-21-02736
• Files: TRIS, TRB, ATRI
• Created Date: Feb 4 2021 10:57AM