1. Traffic Network Modeling and Extended Max-Pressure Traffic Control Strategy Based on Granular Computing Theory
- Author
-
LiCai Yang and ShenXue Hao
- Subjects
050210 logistics & transportation ,Article Subject ,Computer science ,lcsh:Mathematics ,General Mathematics ,Distributed computing ,ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS ,05 social sciences ,Granular computing ,General Engineering ,02 engineering and technology ,lcsh:QA1-939 ,Partition (database) ,lcsh:TA1-2040 ,0502 economics and business ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Platoon ,Traffic network ,lcsh:Engineering (General). Civil engineering (General) - Abstract
Reasonable traffic network model and flexible traffic control strategy play important roles in improving the urban traffic control efficiency. Introducing granular computing theory into traffic network modeling and traffic control is a useful attempt, since granular computing is closer to the human thinking in solving problems. In this paper, the traffic elements are depicted using S-rough set to achieve the granulation partition of traffic network. Four layers are partitioned in the proposed hierarchical multigranularity traffic network model, such as vehicle layer, platoon layer, segment and intersection layer, and subregion layer. Each traffic granule is represented in rough representation form, and the dynamic characteristics are described using the elementary transfer operations based on S-rough set theory. As an application on the proposed traffic network model, an extended max-pressure traffic control strategy is applied on the platoon and segment and intersection layer. Simulation results illustrate that the proposed traffic network model and traffic control strategy achieve better performance.
- Published
- 2019