Coupled Control of Traffic Signal and Connected Autonomous Vehicles at Signalized Intersections
To enhance the traffic operation efficiency at signalized intersections, a model for coupled control of traffic signals and connected autonomous vehicles at isolated signalized intersections is proposed. This model estimates the time that CAVs reach stop lines with real-time information about the sp...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2023/6684252 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849694609229217792 |
|---|---|
| author | Dan Wang Zhizhou Wu Guosheng Ma Zhibo Gao Zhidan Yang |
| author_facet | Dan Wang Zhizhou Wu Guosheng Ma Zhibo Gao Zhidan Yang |
| author_sort | Dan Wang |
| collection | DOAJ |
| description | To enhance the traffic operation efficiency at signalized intersections, a model for coupled control of traffic signals and connected autonomous vehicles at isolated signalized intersections is proposed. This model estimates the time that CAVs reach stop lines with real-time information about the speed and position of CAVs. The arrival time is leveraged to optimize traffic signal timing by rolling horizon, with the maximization of phase saturation as the optimization objective. Based on the optimized traffic signal timing, the speed profile of CAVs is optimized by a linear integer programming, with the maximization of speed at the moment of reaching the stop line as the optimization objective. Through the coupled control of travel speed and the traffic signal, CAVs can pass through the intersection safely, efficiently, and smoothly. NetLogo, a multiagent microscopic simulator, is developed to test this strategy, and an intersection in Weihai is taken for verification and analysis lastly. The simulation results demonstrate that, compared with the fixed traffic signal timing control and the model optimizing only speed profile of CAVs, the proposed model can reduce the average number of stops by 47.0% and the queuing time by 41.3%. In addition, the optimization is better during off-peak hours, about 10% higher than the peak hours. |
| format | Article |
| id | doaj-art-a587805f203e4164b0c8ea77f08e6145 |
| institution | DOAJ |
| issn | 2042-3195 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-a587805f203e4164b0c8ea77f08e61452025-08-20T03:20:00ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/6684252Coupled Control of Traffic Signal and Connected Autonomous Vehicles at Signalized IntersectionsDan Wang0Zhizhou Wu1Guosheng Ma2Zhibo Gao3Zhidan Yang4Key Laboratory of Road and Traffic Engineering of the Ministry of EducationKey Laboratory of Road and Traffic Engineering of the Ministry of EducationSchool of Automotive EngineeringSchool of Traffic and Transportation EngineeringKey Laboratory of Road and Traffic Engineering of the Ministry of EducationTo enhance the traffic operation efficiency at signalized intersections, a model for coupled control of traffic signals and connected autonomous vehicles at isolated signalized intersections is proposed. This model estimates the time that CAVs reach stop lines with real-time information about the speed and position of CAVs. The arrival time is leveraged to optimize traffic signal timing by rolling horizon, with the maximization of phase saturation as the optimization objective. Based on the optimized traffic signal timing, the speed profile of CAVs is optimized by a linear integer programming, with the maximization of speed at the moment of reaching the stop line as the optimization objective. Through the coupled control of travel speed and the traffic signal, CAVs can pass through the intersection safely, efficiently, and smoothly. NetLogo, a multiagent microscopic simulator, is developed to test this strategy, and an intersection in Weihai is taken for verification and analysis lastly. The simulation results demonstrate that, compared with the fixed traffic signal timing control and the model optimizing only speed profile of CAVs, the proposed model can reduce the average number of stops by 47.0% and the queuing time by 41.3%. In addition, the optimization is better during off-peak hours, about 10% higher than the peak hours.http://dx.doi.org/10.1155/2023/6684252 |
| spellingShingle | Dan Wang Zhizhou Wu Guosheng Ma Zhibo Gao Zhidan Yang Coupled Control of Traffic Signal and Connected Autonomous Vehicles at Signalized Intersections Journal of Advanced Transportation |
| title | Coupled Control of Traffic Signal and Connected Autonomous Vehicles at Signalized Intersections |
| title_full | Coupled Control of Traffic Signal and Connected Autonomous Vehicles at Signalized Intersections |
| title_fullStr | Coupled Control of Traffic Signal and Connected Autonomous Vehicles at Signalized Intersections |
| title_full_unstemmed | Coupled Control of Traffic Signal and Connected Autonomous Vehicles at Signalized Intersections |
| title_short | Coupled Control of Traffic Signal and Connected Autonomous Vehicles at Signalized Intersections |
| title_sort | coupled control of traffic signal and connected autonomous vehicles at signalized intersections |
| url | http://dx.doi.org/10.1155/2023/6684252 |
| work_keys_str_mv | AT danwang coupledcontroloftrafficsignalandconnectedautonomousvehiclesatsignalizedintersections AT zhizhouwu coupledcontroloftrafficsignalandconnectedautonomousvehiclesatsignalizedintersections AT guoshengma coupledcontroloftrafficsignalandconnectedautonomousvehiclesatsignalizedintersections AT zhibogao coupledcontroloftrafficsignalandconnectedautonomousvehiclesatsignalizedintersections AT zhidanyang coupledcontroloftrafficsignalandconnectedautonomousvehiclesatsignalizedintersections |