ATTENTION: The software behind KU ScholarWorks is being upgraded to a new version. Starting July 15th, users will not be able to log in to the system, add items, nor make any changes until the new version is in place at the end of July. Searching for articles and opening files will continue to work while the system is being updated. If you have any questions, please contact Marianne Reed at mreed@ku.edu .

Show simple item record

dc.contributor.authorHale, David K.
dc.contributor.authorMa, Jiaqi
dc.contributor.authorKondyli, Alexandra
dc.contributor.authorHu, Jia
dc.contributor.authorHuang, Zhitong
dc.contributor.authorSu, Peng
dc.date.accessioned2017-11-10T19:33:29Z
dc.date.available2017-11-10T19:33:29Z
dc.date.issued2016
dc.identifier.citationHale, D. K., Ma, J., Kondyli, A., Hu, J., Huang, Z., & Su, P. (2016). Right-Turn-on-Red Flow Profile Impactson Urban Street Capacity Analysis. Transportation Research Record: Journal of the Transportation Research Board, 2553, 29-40. doi:10.3141/2553-04en_US
dc.identifier.urihttp://hdl.handle.net/1808/25326
dc.description.abstractThe Highway Capacity Manual 2010 (HCM 2010) contains computational procedures for evaluating traffic operational efficiency of urban street segments. These procedures have been implemented within several commercial software packages and are likely used by thousands of engineers and planners across the United States. The procedures for urban street capacity analysis contain no logic for handling right turns on red (RTORs) or for handling special cases of RTORs such as shielded and free right turns. A new proposed RTOR modeling framework is described for urban streets in the HCM 2010. When significant upstream RTOR flows exist, the proposed logic is designed to generate more realistic flow profiles. Three types of experimental results are presented: they demonstrate the improved modeling accuracy of the proposed logic. First, it is shown that macroscopic flow profile shapes are now more visually sensible because they now illustrate RTOR flows moving at the appropriate times. Second, macroscopic flow profile shapes are now more consistent with microscopic vehicle trajectories. Third, a statistical analysis shows that when the proposed logic is used, HCM 2010 performance measures become more consistent with the performance measures generated by microsimulation. Finally, case study results show that when the proposed RTOR logic is not used, control delays are sometimes be inaccurate by more than 30%. Given the experimental evidence presented, it is urgent that the proposed improvements be adopted and implemented so that RTOR corridors can be accurately analyzed by the HCM 2010 procedures.en_US
dc.publisherNational Academy of Sciencesen_US
dc.rights© 2016 National Academy of Sciencesen_US
dc.titleRight-Turn-on-Red Flow Profile Impactson Urban Street Capacity Analysisen_US
dc.typeArticleen_US
kusw.kuauthorKondyli, Alexandra
kusw.kudepartmentCivil, Environmental and Architectural Engineeringen_US
dc.identifier.doi10.3141/2553-04en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccess


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record