Electronic Vehicle Identification: Applications and Implementation Considerations

Details

• Alternative Title:
  Vehicle/License plate identification for toll collection applications.
• Creators:
  Persad, Khali R. ; Walton, C. Michael ; Wang, Zhong ; Robertson, Chris ; Hussain, Shahriyar
• Corporate Creators:
  University of Texas at Austin. Center for Transportation Research
• Corporate Contributors:
  United States. Federal Highway Administration ; Texas. Dept. of Transportation. Research and Technology Implementation Office
• Subject/TRT Terms:
  • Automatic vehicle location
  • Automated toll collection
  • Benefit cost analysis
  • Vehicle detectors
  • Intelligent transportation systems
  • Dedicated short range communications
  • Toll roads--Electronic equipment
  • Highway communications
  • Highways
  • Planning and Forecasting
  More +
• Publication/ Report Number:
  FHWA/TX-09/0-5217-1
• Resource Type:
  Research Paper
• Geographical Coverage:
  Texas ; United States
• TRIS Online Accession Number:
  01141673
• OCLC Number:
  457841047
• Edition:
  Technical Report
• Corporate Publisher:
  Texas. Dept. of Transportation. Research and Technology Implementation Office
• Description:
  Electronic vehicle identification (EVI) is already an important component of electronic toll collection. Universal EVI would provide the opportunity for transportation agencies to introduce ITS features such as in-vehicle information systems. In this project three areas were researched: (1) Current and promising technologies for vehicle identification, especially those already being deployed for toll collection, (2) Incorporation of national and state standards, legislative initiatives, and public response into TxDOT planning, and (3) Costs, benefits and implementation requirements for EVI.
• Format:
  PDF
• Funding:
  Project 0-5217
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/38416/dot_38416_DS1.pdf
• File Type:
  [PDF - 2.17 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:919732b80832012989c2a1c55498bd90d49b4a1dcde3aa07cd8487b3077aa4e0