An Empirical Framework for Intersection Optimization Based on Uniform Design
Operational performance optimization of signalized intersections is one of the most important tasks for traffic engineers and researchers. To compensate for the limitations of practical implementation, simulation software packages have been widely used to evaluate different optimization strategies a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2017/7396250 |
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| _version_ | 1832551862794977280 |
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| author | Ying Zhang Daniel Jian Sun Alexandra Kondyli |
| author_facet | Ying Zhang Daniel Jian Sun Alexandra Kondyli |
| author_sort | Ying Zhang |
| collection | DOAJ |
| description | Operational performance optimization of signalized intersections is one of the most important tasks for traffic engineers and researchers. To compensate for the limitations of practical implementation, simulation software packages have been widely used to evaluate different optimization strategies and thus to improve the efficiency of the intersections as well as the entire network. However, for the existing optimization studies on signalized intersections, the relationships among various optimization measures and the combination of strategies have not been fully investigated. In this paper, uniform design experimentation was introduced to combine different optimization measures into strategies and achieve the minimum time cost in model construction. VISSIM software package was then calibrated and used to evaluate various optimization strategies and identify the one with the best measurement of performance, namely, control delay at the signalized intersection. By taking a representative congested intersection in Shanghai as a case study, the optimal strategy was identified to reduce the overall control delay by 27.3%, which further verified the modeling capability of the proposed method. |
| format | Article |
| id | doaj-art-21c322055742405aa1f8a566bc91b60a |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-21c322055742405aa1f8a566bc91b60a2025-02-03T06:00:10ZengWileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/73962507396250An Empirical Framework for Intersection Optimization Based on Uniform DesignYing Zhang0Daniel Jian Sun1Alexandra Kondyli2State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, ChinaState Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Civil, Environmental, and Architectural Engineering, University of Kansas, Lawrence, KS, USAOperational performance optimization of signalized intersections is one of the most important tasks for traffic engineers and researchers. To compensate for the limitations of practical implementation, simulation software packages have been widely used to evaluate different optimization strategies and thus to improve the efficiency of the intersections as well as the entire network. However, for the existing optimization studies on signalized intersections, the relationships among various optimization measures and the combination of strategies have not been fully investigated. In this paper, uniform design experimentation was introduced to combine different optimization measures into strategies and achieve the minimum time cost in model construction. VISSIM software package was then calibrated and used to evaluate various optimization strategies and identify the one with the best measurement of performance, namely, control delay at the signalized intersection. By taking a representative congested intersection in Shanghai as a case study, the optimal strategy was identified to reduce the overall control delay by 27.3%, which further verified the modeling capability of the proposed method.http://dx.doi.org/10.1155/2017/7396250 |
| spellingShingle | Ying Zhang Daniel Jian Sun Alexandra Kondyli An Empirical Framework for Intersection Optimization Based on Uniform Design Journal of Advanced Transportation |
| title | An Empirical Framework for Intersection Optimization Based on Uniform Design |
| title_full | An Empirical Framework for Intersection Optimization Based on Uniform Design |
| title_fullStr | An Empirical Framework for Intersection Optimization Based on Uniform Design |
| title_full_unstemmed | An Empirical Framework for Intersection Optimization Based on Uniform Design |
| title_short | An Empirical Framework for Intersection Optimization Based on Uniform Design |
| title_sort | empirical framework for intersection optimization based on uniform design |
| url | http://dx.doi.org/10.1155/2017/7396250 |
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