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Indicators of Performance on Two-Lane Rural Highways : Empirical Investigation Al-Kaisy, Ahmed ; Karjala, Sarah

By: Contributor(s): Series: ; 2071Publication details: Transportation Research Record: Journal of the Transportation Research Board, 2008Description: s. 87-97ISBN:
  • 9780309113465
Subject(s): Bibl.nr: VTI P8167:2071Location: Abstract: This paper presents an empirical investigation into performance indicators on two-lane rural highways. Field data from four study sites in the state of Montana were used in this investigation. Six performance indicators were investigated: average travel speed, average travel speed of passenger cars, average travel speed as a percent of free-flow speed, average travel speed of passenger cars as a percent of free-flow speed of passenger cars, percent followers, and follower density. The study examined the level of association between the selected performance indicators and major platooning variables, namely, traffic flow in the direction of travel, opposing traffic flow, percent heavy vehicles, standard deviation of free-flow speeds, and percent no-passing zones. Among all platooning variables investigated, traffic flow in the direction of travel was found to have the highest correlation with performance indicators. Other platooning variables exhibited only weak correlations with performance indicators. Also, follower density followed by percent followers exhibited the highest correlations with platooning variables.
Item type: Reports, conferences, monographs
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This paper presents an empirical investigation into performance indicators on two-lane rural highways. Field data from four study sites in the state of Montana were used in this investigation. Six performance indicators were investigated: average travel speed, average travel speed of passenger cars, average travel speed as a percent of free-flow speed, average travel speed of passenger cars as a percent of free-flow speed of passenger cars, percent followers, and follower density. The study examined the level of association between the selected performance indicators and major platooning variables, namely, traffic flow in the direction of travel, opposing traffic flow, percent heavy vehicles, standard deviation of free-flow speeds, and percent no-passing zones. Among all platooning variables investigated, traffic flow in the direction of travel was found to have the highest correlation with performance indicators. Other platooning variables exhibited only weak correlations with performance indicators. Also, follower density followed by percent followers exhibited the highest correlations with platooning variables.