User perceptions and engineering definitions of highway level of service: an exploratory statistical comparison |
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| Institution: | 1. Department of Civil Engineering, Chulalongkorn University, Bangkok 10330, Thailand;2. School of Civil Engineering, Purdue University, West Lafayette, Indiana 47907, USA;2. Graduate School of Chinese Academy of Sciences (CAS), Beijing 100049, People׳s Republic of China;1. Department of Civil Engineering, Taibah University, 42353 Medina, Saudi Arabia;2. LESTE Laboratory, ENIM, Monastir University, 12, Ibn El Jazzar Avenue, 5019 Monastir, Tunisia;1. Department of Civil and Geomatics Engineering, California State University, Fresno, 2320 E. San Ramon Ave. Engineering East M/S 94, Fresno, CA 93740-8030, Phone: (540) 577-0462, Fax: (559) 278-7002;2. Charles E. Via Jr. Department of Civil and Environmental Engineering, Virginia Tech Transportation Institute, 3500 Transportation Research Plaza, Blacksburg, VA 24061, Phone: (540) 231-1505, Fax: (540) 231-1555;1. Department of Civil Engineering, University of Duhok, Duhok 42001, Iraq;2. Department of Spatial Planning, University of Duhok, Duhok 42001, Iraq |
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| Abstract: | The level of service (LOS) concept in the Highway Capacity Manual has been used as a qualitative measure representing freeway operational conditions for over 35 years. One key element that has not been adequately addressed is how road users perceive LOS. This exploratory research examines road-user perceptions of freeway LOS by presenting study participants with a series of video clips of various traffic conditions (taken from cameras on overpasses to allow a complete view of the traffic stream) and asking them their perceptions of LOS. A random effects ordered probability model is then used to statistically link participant-recorded perceptions of LOS with measurable traffic conditions (speed, density, flow, percentage of trucks, vehicle headways) and participant characteristics. The findings suggest that the Highway Capacity Manual’s use of traffic density as a single performance measure for LOS does not accurately reflect road-user perceptions. The statistical analysis shows that a number of attributes besides traffic density determine public perceptions of LOS and that these perceptions vary depending on both traffic conditions and road-user characteristics. |
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