On Software-based Remote Vehicle Monitoring for Detection and Mapping of Slippery Road Sections

  • Denrie EnriquezJr.
  • Sean Jenson
  • Alex Bautista
  • Paloma Hawn
  • Sun-il Kim
  • Muhammad Ali
  • Jeffrey Miller
Article
  • 173 Downloads

Abstract

The use of vehicular communications and networking technology has started to open up endless possibilities for applications development. These efforts include a wide rage of applications from road maintenance and traffic engineering at the transportation engineering level to applications designed for personal convenience and entertainment. In this paper, we describe our project on monitoring road conditions supported by the DOT-RITA program and the various agencies in Anchorage, Alaska. Our project first focuses on identifying dangerous road sections typically caused by, but not limited to, ice patches using vehicle slippage detection. The detection was done through probe vehicles equipped with our custom vehicular interface and networking device called CANOPNR (CAN-BUS OBD Programmable-expandable Network-enabled Reader). We describe the details of the CANOPNR architecture as well as our algorithm for slippage detection and present our test results. Along with the hardware configuration, our software has also been made openly available for the research community to use. Our test results showed that the system is able to effectively identify slippery road sections. We were also able to show the potential for prediction of some accident-prone areas. Individual cities may significantly benefit from utilizing such methodology with existing service vehicles as well as with the participation by the public. The end-users can benefit from safer-route computations enabled by the mappings.

Keywords

Road condition monitoring Vehicular communication V2I 

Notes

Acknowledgments

This work was supported in part by USDOT-RITA Grant #00003238 (AUTC Project #510018 Miller, Kim, Ali), by General Communications Inc, and the University of Alabama in Huntsville NFR grant. We would also like to acknowledge support from the Municipality of Anchorage, and assistance provided by Mr. Kelly Smith and the staff of the University of Alaska Anchorage Automotive and Diesel Technology Department, and the Anchorage Police Department. The views presented in this paper are of the authors only and do not necessarily reflect that of the supporting organizations.

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Denrie EnriquezJr.
    • 1
  • Sean Jenson
    • 2
  • Alex Bautista
    • 3
  • Paloma Hawn
    • 3
  • Sun-il Kim
    • 4
  • Muhammad Ali
    • 2
  • Jeffrey Miller
    • 5
  1. 1.InfoSpaceBellevueUSA
  2. 2.Department of Mechanical EngineeringOhio UniversityAthensUSA
  3. 3.General Communications IncorporatedAnchorageUSA
  4. 4.Computer Science DepartmentNorth Central CollegeNapervilleUSA
  5. 5.Department of Computer ScienceUniversity of Southern CaliforniaLos AngelesUSA

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