This paper presents an on-board road condition monitoring system developed for the safety application in Vehicle Infrastructure Integration (VII) project. The system equipped on the so-called probe vehicle is able to continuously evaluate road surface in terms of slipperiness and coarseness. Road surface is classified into four grades using stock mobile sensors and GPS speed-based measurements. The task of distinguishing slippery extents of road surfaces was treated as a "pattern-recognition" problem based on experimental results such that road surfaces can be classified into three slip levels, normal (μmax ≥0.5), slippery (0.3≥μmax <0.5), and very slippery (μmax <0.3) provided enough excitation. To distinguish rough road surfaces like gravel roads from normal asphalt roads, a separate classifier making use of a filterbank for analyzing wheel speed signal was implemented. Experimental results demonstrate the feasibility of this road condition monitoring system for detecting slippery and rough road surfaces in close to real-time. Once a slippery road condition is detected by the probe vehicle, a warning message with accurate GPS position can be transmitted from the probe vehicle to road side equipment (RSE) and further be relayed to following vehicles as well as traffic management center (TMC) via Dedicated Short Range Communication (DSRC); hence the safety of road users can be improved with the aid of this cooperative or VII active safety system.
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ASME 2006 International Mechanical Engineering Congress and
Exposition
November 5–10, 2006
Chicago, Illinois, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
0-7918-4768-3
PROCEEDINGS PAPER
On-Board Road Condition Monitoring System Using Slip-Based Tire-Road Friction Estimation and Wheel Speed Signal Analysis
James A. Misener,
James A. Misener
University of California at Berkeley
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Karl Hedrick
Karl Hedrick
University of California at Berkeley
Search for other works by this author on:
Kang Li
University of California at Berkeley
James A. Misener
University of California at Berkeley
Karl Hedrick
University of California at Berkeley
Paper No:
IMECE2006-14102, pp. 267-276; 10 pages
Published Online:
December 14, 2007
Citation
Li, K, Misener, JA, & Hedrick, K. "On-Board Road Condition Monitoring System Using Slip-Based Tire-Road Friction Estimation and Wheel Speed Signal Analysis." Proceedings of the ASME 2006 International Mechanical Engineering Congress and Exposition. Dynamic Systems and Control, Parts A and B. Chicago, Illinois, USA. November 5–10, 2006. pp. 267-276. ASME. https://doi.org/10.1115/IMECE2006-14102
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