Modeling and Simulation of Nonmotorized Vehicles’ Dispersion at Mixed Flow Intersections
Interactions between motorized and nonmotorized vehicles have drawn considerable attention from researchers. They are commonly seen at mixed flow intersections where nonmotorized vehicles, without the restriction of lane markers or physical barriers, may disperse into adjacent lanes and thus lead to...
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Format: | Article |
Language: | English |
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Wiley
2019-01-01
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Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2019/9127062 |
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author | Qiyuan Liu Jian Sun Ye Tian Ying Ni Shinan Yu |
author_facet | Qiyuan Liu Jian Sun Ye Tian Ying Ni Shinan Yu |
author_sort | Qiyuan Liu |
collection | DOAJ |
description | Interactions between motorized and nonmotorized vehicles have drawn considerable attention from researchers. They are commonly seen at mixed flow intersections where nonmotorized vehicles, without the restriction of lane markers or physical barriers, may disperse into adjacent lanes and thus lead to complex interactions with motorized vehicles. Such a dispersion phenomenon between heterogeneous participants (e-bikes and bicycles as nonmotorized vehicles versus motorized vehicles) is difficult to model. In this paper, we were inspired by the dispersion of charged particles in an electric field and modeled the dispersion phenomenon of go-straight, nonmotorized vehicles at mixed flow intersections accordingly, as it was discovered in this research that these two dispersion phenomena share three underlying commonalities with each other. A novel particle dispersion model (PDM) based on a particle’s movement in an electric field is proposed. The model is calibrated and validated using 1,490 high-definition sets of trajectory data for go-straight, nonmotorized vehicles during 43 cycles at two typical mixed flow intersections. The PDM is compared with the social force model (SFM) on their dispersion characteristics that are used to describe the nonmotorized bicycles’ behavior. The results show that the PDM performs better than the SFM with regard to depicting the dispersion characteristic indices of the nonmotorized vehicles, such as the travel time, the dispersion intensity of heterogeneous nonmotorized vehicles, the sectional dispersion degree, and other dispersion characteristics. |
format | Article |
id | doaj-art-75be271778d74fb7bc5231ad0907818e |
institution | Kabale University |
issn | 0197-6729 2042-3195 |
language | English |
publishDate | 2019-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Advanced Transportation |
spelling | doaj-art-75be271778d74fb7bc5231ad0907818e2025-02-03T06:11:32ZengWileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/91270629127062Modeling and Simulation of Nonmotorized Vehicles’ Dispersion at Mixed Flow IntersectionsQiyuan Liu0Jian Sun1Ye Tian2Ying Ni3Shinan Yu4Key Laboratory of Road and Traffic Engineering in the Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering in the Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering in the Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering in the Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering in the Ministry of Education, Tongji University, Shanghai 201804, ChinaInteractions between motorized and nonmotorized vehicles have drawn considerable attention from researchers. They are commonly seen at mixed flow intersections where nonmotorized vehicles, without the restriction of lane markers or physical barriers, may disperse into adjacent lanes and thus lead to complex interactions with motorized vehicles. Such a dispersion phenomenon between heterogeneous participants (e-bikes and bicycles as nonmotorized vehicles versus motorized vehicles) is difficult to model. In this paper, we were inspired by the dispersion of charged particles in an electric field and modeled the dispersion phenomenon of go-straight, nonmotorized vehicles at mixed flow intersections accordingly, as it was discovered in this research that these two dispersion phenomena share three underlying commonalities with each other. A novel particle dispersion model (PDM) based on a particle’s movement in an electric field is proposed. The model is calibrated and validated using 1,490 high-definition sets of trajectory data for go-straight, nonmotorized vehicles during 43 cycles at two typical mixed flow intersections. The PDM is compared with the social force model (SFM) on their dispersion characteristics that are used to describe the nonmotorized bicycles’ behavior. The results show that the PDM performs better than the SFM with regard to depicting the dispersion characteristic indices of the nonmotorized vehicles, such as the travel time, the dispersion intensity of heterogeneous nonmotorized vehicles, the sectional dispersion degree, and other dispersion characteristics.http://dx.doi.org/10.1155/2019/9127062 |
spellingShingle | Qiyuan Liu Jian Sun Ye Tian Ying Ni Shinan Yu Modeling and Simulation of Nonmotorized Vehicles’ Dispersion at Mixed Flow Intersections Journal of Advanced Transportation |
title | Modeling and Simulation of Nonmotorized Vehicles’ Dispersion at Mixed Flow Intersections |
title_full | Modeling and Simulation of Nonmotorized Vehicles’ Dispersion at Mixed Flow Intersections |
title_fullStr | Modeling and Simulation of Nonmotorized Vehicles’ Dispersion at Mixed Flow Intersections |
title_full_unstemmed | Modeling and Simulation of Nonmotorized Vehicles’ Dispersion at Mixed Flow Intersections |
title_short | Modeling and Simulation of Nonmotorized Vehicles’ Dispersion at Mixed Flow Intersections |
title_sort | modeling and simulation of nonmotorized vehicles dispersion at mixed flow intersections |
url | http://dx.doi.org/10.1155/2019/9127062 |
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