Development of an Analysis/Modeling/Simulation (AMS) Framework for V2I and Connected /Automated Vehicle Environment

This project developed a conceptual framework for an analysis, modeling, and simulation (AMS) system for evaluating the impacts of connected and automated vehicle (CAV) technologies on transportation facilities at the strategic and operational levels, providing the basis for future development of CAV-enabled evaluation tools. The objective of this project is twofold: (1) to lay a foundational framework for the development of AMS system that includes CAVs, and (2) to engage in small scale CAV AMS development using this framework that encourages future development activities as a step toward the availability of CAV-aware tools for practitioners. The aforementioned framework includes four main components that provide the core for an envisioned CAV AMS system for evaluating the strategic and tactical impacts of CAVs: 1) demand changes, 2) supply changes, 3) operational performance, 4) and network integration. To conduct a proof-of-concept test of a prototype CAV AMS framework, a case study focusing on the operational performance impacts of CAV systems was selected. The case study focuses on the performance impacts of CAV systems in a mixed traffic environment and uses an integrated traffic-telecommunication microsimulation tool that was developed at Northwestern University as a testbed. Using the aforementioned testbed, three sets of scenarios were evaluated. Mixed traffic flow simulations show that connectivity and automated driving can improve traffic flow throughput, stability, and travel time at high market penetrations. AV sensor performance simulations show that distance measurement error has insignificant impact on the performance of traffic flow in the case of low AV market penetration. High distance measurement error (30 percent), however, could lead to a small increase in throughput at high AV market penetrations, though this would depend on the programmed following distances specified for the AVs. Automated truck platooning simulations show that truck platoons formed under the assumed opportunistic platoon formation strategy are of small size (2-4 vehicles) and short duration (mostly less than 50 sec) in the testbed under consideration, as connected trucks activate platooning behavior only if they are following other connected trucks.

• Record URL:
  https://rosap.ntl.bts.gov/view/dot/39965
• Corporate Authors:

  Leidos

  11251 Roger Bacon Drive
  Reston, VA  United States  20190

  Federal Highway Administration

  Turner-Fairbank Highway Research Center
  McLean, VA  United States  22101

  Department of Transportation

  Intelligent Transportation Systems Joint Program Office
  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Mahmassani, Hani S
  • 0000-0002-8443-8928
  • Elfar, Amr
  • Shladover, Steven
  • Huang, Zhitong
• Publication Date: 2018-10

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; References; Tables;
• Pagination: 180p

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Case studies; Connected vehicles; Intelligent vehicles; Prototype tests; Traffic flow; Vehicle mix; Vehicle to infrastructure communications
• Uncontrolled Terms: Analysis, modeling, simulation system; Operational performance; Proof of concept
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01706721
• Record Type: Publication
• Report/Paper Numbers: FHWA-JPO-18-725
• Contract Numbers: DTFH-61-16-D-00030-0003
• Files: NTL, TRIS, ATRI, USDOT
• Created Date: May 29 2019 2:19PM