Field Implementation of Direction Rumble Strips for Deterring Wrong-Way Entries
2019-07
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Field Implementation of Direction Rumble Strips for Deterring Wrong-Way Entries
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2019-07
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Center for Transportation Studies, University of Minnesota
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Report
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This report presents the field implementation results of three directional rumble strip (DRS) patterns designed to deter wrong-way (WW) freeway entries. Southbound off-ramps at Exits 208 and 284 on I-65 in Alabama were selected for implementation because they were ranked as high-risk locations by a network screening tool developed by Auburn University. Three patterns (D3, C, and E.1) were recommended for field implementation based on the results of a previous project. Pattern D3 was installed at the off-ramp terminal near the stop bar or yield line. Pattern C was implemented at the segment between the terminal and ramp curve. Pattern E.1 was placed on the tangent part before the ramp curve. WW incident and traffic speed data before and after the implementation were collected using cameras and magnetic sensors, respectively. Field driving tests were conducted to collect sound and vibration data at various speed categories for both RW and WW directions. Before and after studies evaluated the effectiveness of the DRS patterns in reducing wrong way driving (WWD) incidents and traffic speeds on off-ramps. Sound and vibration analyses quantified the differences between right way (RW) and WW drivers’ perceptions. Results showed that the number of WWD incidents and average driving distances were significantly reduced after implementing all of the DRS. The results confirmed that WWDs can perceive elevated sound and vibrations when passing the DRS. The DRS can also reduce the 85th percentile, mean, and standard deviations of off-ramp traffic speeds. A general guideline was developed for implementing different DRS to deter WW freeway entries.
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Zhou, Huaguo; Xue, Chennan. (2019). Field Implementation of Direction Rumble Strips for Deterring Wrong-Way Entries. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/204904.
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