Straight-Going Priority in Hierarchical Control Framework for Right-Turning Vehicle Merging Based on Cooperative Game

Yang, Jingwen; Zhang, Libin; Wang, Ping; Zhao, Xiangmo

doi:10.1007/s12204-023-2577-z

J. Shanghai Jiaotong Univ. (Sci.)

2023

DOI: 10.1007/s12204-023-2577-z

|View full text |Cite

Straight-Going Priority in Hierarchical Control Framework for Right-Turning Vehicle Merging Based on Cooperative Game

Jingwen Yang

Libin Zhang

Ping Wang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Multi-Segment Variable Speed Predictive Control Strategy for Eliminating Traffic Bottlenecks in Emergency Cases on Super-Long-Span Bridges

Yang,

Wang

2024

Applied Sciences

View full text Add to dashboard Cite

In this paper, we investigate traffic bottlenecks, a primary cause of congestion that significantly impacts the overall efficiency of traffic networks. To address this challenge, a multi-segment variable speed limit control strategy is proposed to mitigate moving bottlenecks, particularly those on super-long-span bridges. First, an extended macro-traffic flow model, built upon the classic MetaNet framework, is proposed as a state-space model to capture the critical characteristics of long segments, which is a key contribution of this paper. Next, a fast prediction model is developed to forecast traffic flow states in lane-drop bottlenecks with restricted passing capacity over long road segments. Then, a controller leveraging the state-compensation flow model is designed to regulate the future evolution of bottleneck density. Finally, the multi-segment variable speed predictive control (MVSPC) strategy is validated on a simulation platform integrating PYTHON and SUMO, and its performance is compared with both traditional and advanced methods. The results demonstrate that under varying traffic flow levels, particularly in high-demand scenarios, the strategy achieves significant improvements in efficiency, safety, and environmental metrics. These include a 62.44% reduction in waiting time, a 95.32% decrease in potential collisions, and reductions in emissions: 26.4% in CO2, 14.11% in CO, 26.53% in NO, and 32.90% in NOX. The proposed strategy is particularly effective for long segments, such as super-long-span bridges.

show abstract

Multi-Segment Variable Speed Predictive Control Strategy for Eliminating Traffic Bottlenecks in Emergency Cases on Super-Long-Span Bridges

Yang,

Wang

2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Straight-Going Priority in Hierarchical Control Framework for Right-Turning Vehicle Merging Based on Cooperative Game

Cited by 1 publication

References 17 publications

Multi-Segment Variable Speed Predictive Control Strategy for Eliminating Traffic Bottlenecks in Emergency Cases on Super-Long-Span Bridges

Multi-Segment Variable Speed Predictive Control Strategy for Eliminating Traffic Bottlenecks in Emergency Cases on Super-Long-Span Bridges

Contact Info

Product

Resources

About