Development of Dashboards and Procedures for Using Connected Vehicle Data to Prioritize Investments in Electric Vehicle Related Infrastructure

Details

• Creators:
  Desai, Jairaj C. ; Sturdevant, Nathaniel J. ; McCue, George ; Bullock, Darcy M.
• Corporate Creators:
  Purdue University. Joint Transportation Research Program
• Corporate Contributors:
  Indiana Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Charging Deserts Charging Infrastructure Connected Vehicle Data Connected Vehicles Digital Infrastructure Electric Vehicle Charging Electric Vehicles Instrument Panels Investments Procedures Surveys Vehicle Range

  More +
• Publication/ Report Number:
  FHWA/IN/JTRP-2026/06
• DOI:
  https://doi.org/10.5703/1288284318614
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Indiana
• Edition:
  Final Report
• Corporate Publisher:
  Purdue University. Joint Transportation Research Program
• Abstract:
  The National Electric Vehicle Infrastructure (NEVI) Formula Program and the Charging and Fueling Infrastructure Discretionary Grant Program together provide $7.5 billion to support states with building out a nationwide EV charging network. Indiana’s Charging the Crossroads program, funded through the NEVI program, plans to invest almost $100 million to build an EV charging network along Indiana interstates and highways. There is broad consensus among states, that these fast charging station investments should be based upon quantitative geospatial data with the objective of maximizing the impact of the NEVI program investments. However, traditional methods for monitoring electric vehicle (EV) usage have relied on time and cost intensive techniques that do not scale well. Travel diaries, surveys, camera detection and count stations are just some of the methods utilized in the past to monitor traffic volumes. Connected vehicle data with enhanced attributes have the potential to inform stakeholders of electric vehicle use at scale and year-round without additional fixed infrastructure or sensor investments. The motivation of this study was to explore the viability of CV data to provide data-driven insights to practitioners in helping prioritize the rollout of EV charging infrastructure. The study utilized connected vehicle data to develop methodologies and reporting procedures that document usage of transportation and charging infrastructure by EVs. Additionally, the study utilized publicly available data on public fast charging station locations to determine fast charging deserts along AFCs.
• Format:
  PDF
• Funding:
  SPR-4815
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:8bcb10cc9897c6957b335684896e40009b47b1362d06a6b5b1effa03eba5fe15416ffa38e6860abda3f11cb7f00a91851b1f1be927d9e74b3fc93c47d8c0b88c
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/92254/dot_92254_DS1.pdf
• File Type:
  [PDF - 7.71 MB ]