Simulation-Based Evaluation of Variation in Left-Turn Paths in the Coordinated Intersection Management
Coordinated intersection management (CIM) has gained more attention with the advance of connected and autonomous vehicle technology. The optimization of passing schedules and conflict separation between conflicting vehicles are usually conducted based on the predefined travelling paths through the i...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/6243530 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832563232875741184 |
|---|---|
| author | Menglin Yang Hao Yu Lu Bai |
| author_facet | Menglin Yang Hao Yu Lu Bai |
| author_sort | Menglin Yang |
| collection | DOAJ |
| description | Coordinated intersection management (CIM) has gained more attention with the advance of connected and autonomous vehicle technology. The optimization of passing schedules and conflict separation between conflicting vehicles are usually conducted based on the predefined travelling paths through the intersection area in the CIM. In real-world implementation, however, the diversity of turn paths exists due to multiple factors such as various vehicle sizes and automation control algorithms. The aim of this paper is to investigate how the variation in left-turn paths affects the feasibility and viability of optimal passing schedules, as well as the safety and efficiency of intersection operation. To do this, we start with identifying six typical left-turn paths to represent the variation. A scenario-based simulation is first conducted by using each of the paths as the nominal path. The optimal schedules and the corresponding alternative schedules are generated to calculate indicators for nominal performance, average performance, and robustness. The best path is selected in terms of schedule optimality and robustness. With schedules obtained by solving CIM models using the selected path, the left-turning CAVs are assumed to travel along one of the six paths randomly to simulate the path divergence. A surrogate safety measure, PET, is utilized to assess the safety of the intersection under CIM. The theoretical PET with the nominal path and the actual PET with the random path are calculated for each conflict event. Comparisons of two PET sets show the increase in conflict risk and vehicle delay. The conclusion can be drawn that the variation in left-turn paths causes the decline in safety level and travelling efficiency and should be considered in the CIM model to ensure safe and efficient implementation in the intersection. |
| format | Article |
| id | doaj-art-9908f68482f94caf8e3b0d634eb091ea |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-9908f68482f94caf8e3b0d634eb091ea2025-02-03T01:20:39ZengWileyJournal of Advanced Transportation2042-31952021-01-01202110.1155/2021/6243530Simulation-Based Evaluation of Variation in Left-Turn Paths in the Coordinated Intersection ManagementMenglin Yang0Hao Yu1Lu Bai2School of TransportationSchool of TransportationSchool of TransportationCoordinated intersection management (CIM) has gained more attention with the advance of connected and autonomous vehicle technology. The optimization of passing schedules and conflict separation between conflicting vehicles are usually conducted based on the predefined travelling paths through the intersection area in the CIM. In real-world implementation, however, the diversity of turn paths exists due to multiple factors such as various vehicle sizes and automation control algorithms. The aim of this paper is to investigate how the variation in left-turn paths affects the feasibility and viability of optimal passing schedules, as well as the safety and efficiency of intersection operation. To do this, we start with identifying six typical left-turn paths to represent the variation. A scenario-based simulation is first conducted by using each of the paths as the nominal path. The optimal schedules and the corresponding alternative schedules are generated to calculate indicators for nominal performance, average performance, and robustness. The best path is selected in terms of schedule optimality and robustness. With schedules obtained by solving CIM models using the selected path, the left-turning CAVs are assumed to travel along one of the six paths randomly to simulate the path divergence. A surrogate safety measure, PET, is utilized to assess the safety of the intersection under CIM. The theoretical PET with the nominal path and the actual PET with the random path are calculated for each conflict event. Comparisons of two PET sets show the increase in conflict risk and vehicle delay. The conclusion can be drawn that the variation in left-turn paths causes the decline in safety level and travelling efficiency and should be considered in the CIM model to ensure safe and efficient implementation in the intersection.http://dx.doi.org/10.1155/2021/6243530 |
| spellingShingle | Menglin Yang Hao Yu Lu Bai Simulation-Based Evaluation of Variation in Left-Turn Paths in the Coordinated Intersection Management Journal of Advanced Transportation |
| title | Simulation-Based Evaluation of Variation in Left-Turn Paths in the Coordinated Intersection Management |
| title_full | Simulation-Based Evaluation of Variation in Left-Turn Paths in the Coordinated Intersection Management |
| title_fullStr | Simulation-Based Evaluation of Variation in Left-Turn Paths in the Coordinated Intersection Management |
| title_full_unstemmed | Simulation-Based Evaluation of Variation in Left-Turn Paths in the Coordinated Intersection Management |
| title_short | Simulation-Based Evaluation of Variation in Left-Turn Paths in the Coordinated Intersection Management |
| title_sort | simulation based evaluation of variation in left turn paths in the coordinated intersection management |
| url | http://dx.doi.org/10.1155/2021/6243530 |
| work_keys_str_mv | AT menglinyang simulationbasedevaluationofvariationinleftturnpathsinthecoordinatedintersectionmanagement AT haoyu simulationbasedevaluationofvariationinleftturnpathsinthecoordinatedintersectionmanagement AT lubai simulationbasedevaluationofvariationinleftturnpathsinthecoordinatedintersectionmanagement |