Collaborative Trajectories Optimization for Tram and Connected Vehicles at Signalized Intersection
In order to alleviate the conflict at intersections in a networked environment between trams in a semi-exclusive right-of-way mode and social vehicles, the running characteristics of these trams and vehicles and their coupling characteristics with the intersection signal are analyzed. The positive a...
| Main Authors: | , , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | English |
| Publicado: |
MDPI AG
2023-01-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Acceso en liña: | https://www.mdpi.com/2076-3417/13/3/1514 |
| _version_ | 1827760424095842304 |
|---|---|
| author | Weixi Lv Jianwu Dang Zhenhai Zhang Yongzhi Min Jing Zuo |
| author_facet | Weixi Lv Jianwu Dang Zhenhai Zhang Yongzhi Min Jing Zuo |
| author_sort | Weixi Lv |
| collection | DOAJ |
| description | In order to alleviate the conflict at intersections in a networked environment between trams in a semi-exclusive right-of-way mode and social vehicles, the running characteristics of these trams and vehicles and their coupling characteristics with the intersection signal are analyzed. The positive and negative effects of the special priority signal on the intersection are considered, and a guidance optimization model that combines urban rails and roads is constructed. With the aim of creating an unplanned delay adjustment scenario for trams, an online collaborative optimization algorithm is proposed, which takes the energy consumption, passenger travel time and comfort of both trams and connected vehicles as optimization objectives in order to realize integrated adjustment of the running trajectories and signal timing, and the population is evolved by using an adaptive elitist genetic algorithm. The study is based on the actual traffic information and timing scheme of an intersection on the T1 line of the Sanya Tram. By comparing with conventional trajectories, the optimized trajectories reduce the total transit time by about 17.1%, the total energy consumption by about 34.7% and the passenger discomfort degree by about 27.8%. The contradiction of the right-of-way distribution at the intersection is alleviated, effectively safeguarding the interests of different users and enterprises. The experimental results show that the model has excellent applicability for different proportions of passenger numbers. |
| first_indexed | 2024-03-11T09:53:01Z |
| format | Article |
| id | doaj.art-73ae59bf57754e37b47c7f9cf3ef19b1 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T09:53:01Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-73ae59bf57754e37b47c7f9cf3ef19b12023-11-16T16:06:35ZengMDPI AGApplied Sciences2076-34172023-01-01133151410.3390/app13031514Collaborative Trajectories Optimization for Tram and Connected Vehicles at Signalized IntersectionWeixi Lv0Jianwu Dang1Zhenhai Zhang2Yongzhi Min3Jing Zuo4School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaGansu Provincial Engineering Research Center for Artificial Intelligence and Graphic & Image Processing, Lanzhou 730070, ChinaSchool of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaIn order to alleviate the conflict at intersections in a networked environment between trams in a semi-exclusive right-of-way mode and social vehicles, the running characteristics of these trams and vehicles and their coupling characteristics with the intersection signal are analyzed. The positive and negative effects of the special priority signal on the intersection are considered, and a guidance optimization model that combines urban rails and roads is constructed. With the aim of creating an unplanned delay adjustment scenario for trams, an online collaborative optimization algorithm is proposed, which takes the energy consumption, passenger travel time and comfort of both trams and connected vehicles as optimization objectives in order to realize integrated adjustment of the running trajectories and signal timing, and the population is evolved by using an adaptive elitist genetic algorithm. The study is based on the actual traffic information and timing scheme of an intersection on the T1 line of the Sanya Tram. By comparing with conventional trajectories, the optimized trajectories reduce the total transit time by about 17.1%, the total energy consumption by about 34.7% and the passenger discomfort degree by about 27.8%. The contradiction of the right-of-way distribution at the intersection is alleviated, effectively safeguarding the interests of different users and enterprises. The experimental results show that the model has excellent applicability for different proportions of passenger numbers.https://www.mdpi.com/2076-3417/13/3/1514intelligent transportationtrajectory planningtramconnected vehicleadaptive genetic algorithmpriority strategy |
| spellingShingle | Weixi Lv Jianwu Dang Zhenhai Zhang Yongzhi Min Jing Zuo Collaborative Trajectories Optimization for Tram and Connected Vehicles at Signalized Intersection Applied Sciences intelligent transportation trajectory planning tram connected vehicle adaptive genetic algorithm priority strategy |
| title | Collaborative Trajectories Optimization for Tram and Connected Vehicles at Signalized Intersection |
| title_full | Collaborative Trajectories Optimization for Tram and Connected Vehicles at Signalized Intersection |
| title_fullStr | Collaborative Trajectories Optimization for Tram and Connected Vehicles at Signalized Intersection |
| title_full_unstemmed | Collaborative Trajectories Optimization for Tram and Connected Vehicles at Signalized Intersection |
| title_short | Collaborative Trajectories Optimization for Tram and Connected Vehicles at Signalized Intersection |
| title_sort | collaborative trajectories optimization for tram and connected vehicles at signalized intersection |
| topic | intelligent transportation trajectory planning tram connected vehicle adaptive genetic algorithm priority strategy |
| url | https://www.mdpi.com/2076-3417/13/3/1514 |
| work_keys_str_mv | AT weixilv collaborativetrajectoriesoptimizationfortramandconnectedvehiclesatsignalizedintersection AT jianwudang collaborativetrajectoriesoptimizationfortramandconnectedvehiclesatsignalizedintersection AT zhenhaizhang collaborativetrajectoriesoptimizationfortramandconnectedvehiclesatsignalizedintersection AT yongzhimin collaborativetrajectoriesoptimizationfortramandconnectedvehiclesatsignalizedintersection AT jingzuo collaborativetrajectoriesoptimizationfortramandconnectedvehiclesatsignalizedintersection |