Abstract
Criteria for the design of horizontal curves implicitly rely on design speed to produce safe and efficient designs, particularly for horizontal sight line offsets and stopping sight distances. Current design guidance provides a method for calculating minimum horizontal sight line off-sets that is accurate and valid only when both driver and object are within the limits of the curve. Other methods are available to estimate minimum horizontal sight line offsets when the driver, object, or both are not within the curve limits. However, design guidance recommends using the calculated value for offsets as a conservative estimate near the ends of curves. In this study, speed prediction models and reliability theory were used to estimate the probability that drivers would not have enough sight distance to see, react to, and stop before reaching an object in the roadway if horizontal sight line offset criteria were applied when the driver or object was outside the limits of a horizontal curve. Six scenarios at the curve approach and inside the curve were analyzed. Reliability estimates (based on minimum horizontal sight line offsets from current minimum design criteria) and stopping sight distance distributions (based on individual driver characteristics) indicated that the probability of drivers not having enough stopping sight distance was much greater on the approach to than inside the horizontal curves. For improvement of design consistency, the use of calculated horizontal sight line onsets beyond the limits of the curve (approach and departure tangents) is suggested to provide extra sight distance to drivers near the curve.
Original language | English (US) |
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Title of host publication | Transportation Research Record |
Publisher | National Research Council |
Pages | 43-50 |
Number of pages | 8 |
ISBN (Electronic) | 9780309295345 |
DOIs | |
State | Published - Jan 1 2014 |
Publication series
Name | Transportation Research Record |
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Volume | 2436 |
ISSN (Print) | 0361-1981 |
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All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
- Mechanical Engineering
Cite this
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Stopping sight distance and horizontal sight line offsets at horizontal curves. / Wood, Jonathan S.; Donnell, Eric T.
Transportation Research Record. National Research Council, 2014. p. 43-50 (Transportation Research Record; Vol. 2436).Research output: Chapter in Book/Report/Conference proceeding › Chapter
TY - CHAP
T1 - Stopping sight distance and horizontal sight line offsets at horizontal curves
AU - Wood, Jonathan S.
AU - Donnell, Eric T.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Criteria for the design of horizontal curves implicitly rely on design speed to produce safe and efficient designs, particularly for horizontal sight line offsets and stopping sight distances. Current design guidance provides a method for calculating minimum horizontal sight line off-sets that is accurate and valid only when both driver and object are within the limits of the curve. Other methods are available to estimate minimum horizontal sight line offsets when the driver, object, or both are not within the curve limits. However, design guidance recommends using the calculated value for offsets as a conservative estimate near the ends of curves. In this study, speed prediction models and reliability theory were used to estimate the probability that drivers would not have enough sight distance to see, react to, and stop before reaching an object in the roadway if horizontal sight line offset criteria were applied when the driver or object was outside the limits of a horizontal curve. Six scenarios at the curve approach and inside the curve were analyzed. Reliability estimates (based on minimum horizontal sight line offsets from current minimum design criteria) and stopping sight distance distributions (based on individual driver characteristics) indicated that the probability of drivers not having enough stopping sight distance was much greater on the approach to than inside the horizontal curves. For improvement of design consistency, the use of calculated horizontal sight line onsets beyond the limits of the curve (approach and departure tangents) is suggested to provide extra sight distance to drivers near the curve.
AB - Criteria for the design of horizontal curves implicitly rely on design speed to produce safe and efficient designs, particularly for horizontal sight line offsets and stopping sight distances. Current design guidance provides a method for calculating minimum horizontal sight line off-sets that is accurate and valid only when both driver and object are within the limits of the curve. Other methods are available to estimate minimum horizontal sight line offsets when the driver, object, or both are not within the curve limits. However, design guidance recommends using the calculated value for offsets as a conservative estimate near the ends of curves. In this study, speed prediction models and reliability theory were used to estimate the probability that drivers would not have enough sight distance to see, react to, and stop before reaching an object in the roadway if horizontal sight line offset criteria were applied when the driver or object was outside the limits of a horizontal curve. Six scenarios at the curve approach and inside the curve were analyzed. Reliability estimates (based on minimum horizontal sight line offsets from current minimum design criteria) and stopping sight distance distributions (based on individual driver characteristics) indicated that the probability of drivers not having enough stopping sight distance was much greater on the approach to than inside the horizontal curves. For improvement of design consistency, the use of calculated horizontal sight line onsets beyond the limits of the curve (approach and departure tangents) is suggested to provide extra sight distance to drivers near the curve.
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UR - http://www.scopus.com/inward/citedby.url?scp=84938503627&partnerID=8YFLogxK
U2 - 10.3141/2436-05
DO - 10.3141/2436-05
M3 - Chapter
AN - SCOPUS:84938503627
T3 - Transportation Research Record
SP - 43
EP - 50
BT - Transportation Research Record
PB - National Research Council
ER -