Performance Measures for Winter Operations

Author:

Adams Teresa M.1,Danijarsa Mohamad2,Martinelli Tom3,Stanuch Gerald14,Vonderohe Alan1

Affiliation:

1. Department of Civil and Environmental Engineering, University of Wisconsin, 1415 Engineering Hall, Madison, WI 53706

2. Department of Civil and Environmental Engineering, University of Wisconsin, 945 Eagle Heights, Apartment A, Madison, WI 53705

3. Wisconsin Department of Transportation, 4802 Sheboygan Avenue, Room 501, P.O. Box 7986, Madison, WI 53707-7986

4. Ho-Chunk Nation, W9814 Airport Road, Black River Falls, WI 54615

Abstract

New winter maintenance vehicles are being equipped with differential Global Positioning System (DGPS) receivers and numerous sensors that collect environmental data (e.g., pavement and air temperature), equipment status data (e.g., plow up, plow down), and material usage data (e.g., salt application rate). These data can be both telemetered to a dispatch center and recorded on magnetic media for later downloading. Data are transmitted and recorded as often as every 2 s. Such data, both type and quantity, have only recently become available. Vehicles were instrumented with the reasonable expectation that information can be used to improve winter maintenance. As a result, these technology demonstration projects tend to be guided by loosely defined “try-and-see” data requirements. Now, with the availability of these data, agencies are beginning to explore the possibilities for improving the performance of winter maintenance operations. A comprehensive set of performance measures for winter maintenance that can be computed from data collected by DGPS receivers and sensors on winter maintenance vehicles is described. The performance measures are indicators of how well winter maintenance operations meet and satisfy expectations. Consideration of the business goals and objectives determined during a series of meetings with state transportation agency professionals from all levels, including winter operations engineers, county commissioners, patrol supervisors, and program managers, led directly to identification of the performance measures. Consequently, the measures directly tie to the business processes and performance of operations. After baseline values of the measures are established, changes in performance can be related to cost of the technology.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference15 articles.

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Snowplow Truck Performance Assessment and Feature Importance Analysis Using Machine-Learning Techniques;Journal of Transportation Engineering, Part A: Systems;2021-02

2. Current Practices of Winter Maintenance Operations and Perceptions of Winter Weather Conditions;Journal of Cold Regions Engineering;2019-09

3. Snow Removal Performance Metrics: Past, Present, and Future;Transportation Research Record: Journal of the Transportation Research Board;2017-01

4. Simulation-based approach for uncertainty assessment: Integrating GPS and GIS;Transportation Research Part C: Emerging Technologies;2013-11

5. Uncertainty Issues in Integrating Geographic Information Systems and the Global Positioning System for Transportation;Transportation Research Record: Journal of the Transportation Research Board;2011-01

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