A Framework of a V2X Communication System for Enhancing Vehicle and Pedestrian Safety at Un-signalized Intersections

Connected vehicle (CV) technology presents great potential to improve the safety of the roadway system by increasing driver situational awareness and reducing or eliminating crashes through vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-device systems (V2X) communications. There have been several studies focusing on safety and operational benefits of V2V and V2I communications. However, the safety benefits of V2X communications were not sufficiently explored and discussed in the current published materials. This paper focuses on developing a framework of a V2X communication system for enhancing vehicle and pedestrian safety at un-signalized intersections. A comprehensive review of the literature has been made to investigate existing V2X safety applications. A cost-effective, solar-energy driven, small, and lightweight communication node device, called the smart road sticker (SRS), is developed to communicate with connected vehicles via LoRa and dedicated short range communications (DSRC), and with pedestrians and unconnected vehicle through cell phones and other mobile devices via Bluetooth. A mobile application that allows pedestrians, bicyclists, and drivers of unconnected vehicles to communicate with the SRS device and vice versa is also designed. A crash prediction algorithm is developed to identify unsafe conditions and determine appropriate CV based safety countermeasures to be presented to system users. Finally, a CV simulation test bed is established in VISSIM to evaluate the safety benefits of the proposed methodology under various traffic and landscape conditions. The simulation results indicate that the number of conflicts increases when the penetration rate of connected devices decreases.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ANF10 Standing Committee on Pedestrians.
• Authors:
  • Zeng, Ziqiang
  • 0000-0003-1782-2804
  • Ash, John
  • Pu, Ziyuan
  • Zhuang, Yifan
  • Wang, Yinhai
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: References;
• Pagination: 5p

Subject/Index Terms

• TRT Terms: Algorithms; Connected vehicles; Crash risk forecasting; Highway safety; Mobile applications; Mobile communication systems; Pedestrian safety; Sensors; Simulation; Unsignalized intersections
• Subject Areas: Data and Information Technology; Highways; Pedestrians and Bicyclists; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01658378
• Record Type: Publication
• Report/Paper Numbers: 18-03707
• Files: TRIS, TRB, ATRI
• Created Date: Jan 29 2018 10:27AM