Capacity Estimation of Advance Right-Turn Motor Vehicles Considering Nonstrict Priority Crossing Behaviors under Mixed-Traffic Conditions
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 148, Issue 2
Abstract
The use of channelized islands to optimize the operation of advance right-turn motor vehicles (ARTMVs) is an effective intersection design method. To overcome the limitations of previous models with respect to the characteristics of nonstrict priority crossing behaviors and mixed nonmotor vehicle (NMV) flow, we have constructed a new capacity estimation model of ARTMVs. This novel model is based on the driving force model for nonstrict priority crossing behaviors, and fully describes the mixed NMV flow with perceived density. Based on the driving force model for nonstrict priority crossing, the speed of ARTMVs crossing the NMV lane and the headways of ARTMVs are obtained. Finally, the number of ARTMVs crossing the NMV lane in a saturated traffic state, i.e., the capacity, is estimated. The method does not need to consider the gap probability of NMV flow, which makes up for the influence of NMVs passing ARTMVs side-by-side. The model was verified by data collected at validation sites in Kunming, China, and compared with the gap acceptance model; the accuracy of the proposed model with heterogeneous NMV flow improved by 22.2%. The construction method of the model provides a new idea for the capacity estimation of ARTMVs under mixed traffic conditions.
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Data Availability Statement
The authors confirm that the data supporting the findings of this study are available within the article.
Acknowledgments
This work was supported by the National Natural Science Foundation of China under Grant No. 52002161; Yunnan Fundamental Research Projects under Grant No. 202101AU070026; and Kunming University of Science and Technology Talent Training Fund under Grant No. KKZ3202002039.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 148 • Issue 2 • February 2022
Copyright
© 2021 American Society of Civil Engineers.
History
Received: May 1, 2021
Accepted: Oct 1, 2021
Published online: Dec 9, 2021
Published in print: Feb 1, 2022
Discussion open until: May 9, 2022
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