Development Of A Freeway Incident Rating System
2008
- 6Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
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Thesis / Dissertation Description
A freeway incident rating system is proposed to classify incidents in terms of their disruptive potential to cause delays, fuel wastage, secondary accidents, and other adverse operational impacts. A two-dimensional rating scale is used which classifies incidents in terms of their severity and the number of agencies required to respond and clear incidents. Variables used in characterizing the severity include number of vehicles involved, number of lanes and shoulders blocked, time of incident occurrence, duration of incident until full clearance, and weather conditions at the time of the incident. The objective behind the development of such a rating system is two-fold. First, it provides a systematic and standard way of organizing the information about the number of incidents of various severity occurring in a freeway network over a time period. This would be particularly helpful in analyzing incident data to identify temporal and spatial trends in a freeway network and to monitor and quantify the efficacy of incident prevention and response efforts. A second objective, once some experience has been gained in rating incidents, is to allow traffic management centers to rate incidents at their onsets in terms of their potential severity. Communicating those ratings using a commonly understood terminology to all responding agencies could then result in a more coordinated response to the incident, thus accelerating return to normalcy and minimizing adverse impacts such as user delays and secondary accidents.
Bibliographic Details
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